WO2004012594B1 - Spectroscopic unwanted signal filters for discrimination of vulnerable plaque and method therefor - Google Patents
Spectroscopic unwanted signal filters for discrimination of vulnerable plaque and method thereforInfo
- Publication number
- WO2004012594B1 WO2004012594B1 PCT/US2003/023624 US0323624W WO2004012594B1 WO 2004012594 B1 WO2004012594 B1 WO 2004012594B1 US 0323624 W US0323624 W US 0323624W WO 2004012594 B1 WO2004012594 B1 WO 2004012594B1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- spectral
- blood vessel
- response data
- responses
- blood
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract 66
- 230000003595 spectral effect Effects 0.000 claims abstract 86
- 238000012545 processing Methods 0.000 claims abstract 17
- 239000008280 blood Substances 0.000 claims abstract 15
- 210000004369 blood Anatomy 0.000 claims abstract 15
- 239000000523 sample Substances 0.000 claims abstract 3
- 210000004204 blood vessel Anatomy 0.000 claims 57
- 239000012530 fluid Substances 0.000 claims 23
- 238000004458 analytical method Methods 0.000 claims 16
- 230000005855 radiation Effects 0.000 claims 13
- 238000000491 multivariate analysis Methods 0.000 claims 7
- 238000001228 spectrum Methods 0.000 claims 7
- 238000000513 principal component analysis Methods 0.000 claims 3
- 238000012797 qualification Methods 0.000 claims 3
- 208000037260 Atherosclerotic Plaque Diseases 0.000 claims 2
- 238000009499 grossing Methods 0.000 claims 2
- 238000012544 monitoring process Methods 0.000 claims 2
- 230000003287 optical effect Effects 0.000 claims 2
- 238000004445 quantitative analysis Methods 0.000 claims 2
- 241001465754 Metazoa Species 0.000 claims 1
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 claims 1
- 239000002473 artificial blood Substances 0.000 claims 1
- 238000013528 artificial neural network Methods 0.000 claims 1
- 239000003795 chemical substances by application Substances 0.000 claims 1
- 239000002872 contrast media Substances 0.000 claims 1
- 238000012937 correction Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 claims 1
- 239000000945 filler Substances 0.000 claims 1
- 230000001678 irradiating effect Effects 0.000 claims 1
- 239000007788 liquid Substances 0.000 claims 1
- 238000010239 partial least squares discriminant analysis Methods 0.000 claims 1
- 238000011002 quantification Methods 0.000 claims 1
- 238000012706 support-vector machine Methods 0.000 claims 1
- 210000004351 coronary vessel Anatomy 0.000 abstract 2
- 238000001514 detection method Methods 0.000 abstract 2
- 238000001727 in vivo Methods 0.000 abstract 2
- 238000007781 pre-processing Methods 0.000 abstract 2
- 238000002835 absorbance Methods 0.000 abstract 1
- 230000002596 correlated effect Effects 0.000 abstract 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
- A61B5/0086—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters using infrared radiation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
Abstract
Spectral variation contributed from the absorbance of unwanted correlated signals, such as blood at variable pathlengths between an in vivo catheter optic probe and a coronary vessel wall is an obstacle in the detection of vulnerable plaque. Preprocessing methods are described to reduce the impact of blood upon the spectral signal, based on the principles of Orthogonal Subspace Projection (OSP) and Generalized Least Square (GLS). The multivariate discrimination models used on the processed spectral information reduce the number of independent factors that include contributions from blood. The disclosed chemometric processing including preprocessing methods provide for in vivo spectral detection of medical analytes within the human body and in particular within the coronary vessel wall.
Claims
1. A method for processing spectral data obtained from within a blood vessel to produce spectral data enhanced in information about the wall of the blood vessel, said method comprising: supplying spectral response data obtained by irradiation of blood vessel wall through intervening fluid; applying a filter generated using the spectral response of the intervening fluid: and thereby deriving the spectral response data enhanced in information about the blood vessel wall.
2. The method of claim 1. which comprises supplying spectral response data obtained by irradiation of a blood vessel wall with near infrared light.
3. The method of claim 1 or 2, which comprises supplying spectral response data obtained by detecting returning radiation to a catheter head.
4. The method of claim 3, which comprises supplying spectral response data obtained from a blood vessel wall (sample) at a probe depth of 1.5-3 mm.
5. The method of any preceding claim, which comprises applying a filter generated using spectral response data for the intervening fluid collected in a reference well, v vivo.
6. The method of any preceding claim, which comprises applying a filter generated using spectral response data for the intervening fluid collected at a relatively large distance from a blood vessel wall.
7. The method of any preceding claim, which comprises supplying spectral response data obtained by irradiation of a blood vessel wall through an intervening fluid which is blood. 50
8. A method as claimed in claim 8. wherein parameters of the generalized least squares filter are optimized by analyzing a performance of the filter in improving an accuracy of a qualification analysis, such as a discrimination or classification, or a quantitative analysis.
9. A method as claimed in claim 4. wherein the filter is based on an orthogonal subspace projection analysis,
10. A method as claimed in claim 9, wherein a subspace projection dimension of the filter is optimized by analyzing a performance of the filter in improving an accuracy of a qualification analysis, such as a discrimination or classification process, or a quantitative analysis.
1 1. A method as claimed in claim I . wherein the intervening fluid is blood.
12. A method as claimed in claim 1 , wherein the intervening fluid is a fluid used to flush blood along a path to the blood vessel walls.
13. A method as claimed in claim 1 , wherein the spectral responses of the inlervening fluid was determined from blood samples of multiple individuals.
14. A method as claimed in claim 1 , wherein the spectral responses of the intervening fluid w as determined from blood samples of the current patient.
15. A method as claimed in claim I , wherein the spectral responses of the intervening fluid was determined from blood samples of the current patient and other individuals.
16. A method as claimed in claim 1 , wherein the spectral responses of the inlervening fluid was determined by gathering spectral responses of a contrast agent.
1 7. A method as claimed in claim 1. wherein the spectral responses of the intervening fluid was determined by gathering a spectral response of artificial blood. 51
18. A method as claimed in claim 1 , wherein the spectral responses of the intervening fluid was determined by gathering a spectral response of a Hushing agent such as saline solution.
19. A method as claimed in claim 1, wherein the spectral responses of the intervening fluid was determined by gathering spectral responses of a fluid, such as a gas ot liquid, that is used to expand a balloon catheter.
20. A method as claimed in claim 1. wherein the step of assessing states of the blood vessel walls in response to the deteimined spectral responses of the blood vessel walls comprises determining whether the blood vessel walls are comprised of vulnerable or non-vulnerable plaques.
21. A method as claimed in claim 1 , further comprising assessing states of the blood vessel w alls in response lo the determined spectral response data for the blood vessel walls determining whether the blood vessel walls were comprised of atheromas or normal tissue.
22. A method as claimed in claim 1. further comprising assessing states of the blood vessel alls in response to the determined spectral response data for the blood vessel walls by applying multivariate regression techniques.
23. A method as claimed in claim 1, further comprising assessing states of the blood vessel walls in response to the determined spectral response data for the blood vessel walls by classifying a state of the vessel walls.
24. A method as claimed in claim I , further comprising assessing stales of the blood vessel walls in response to the determined spectral response data for the blood vessel walls by relating the spectral responses of the intervening fluid with spectral responses of vessels walls in a state of interest.
25. A method as claimed in claim 1. further comprising assessing states of the blood vessel walls in response to the determined spectral response data for the blood vessel walls by classifying states ol the vessel walls by relating the determined spectral responses with spectral responses of vessels walls in different states. 52
26. A method as claimed in claim 1. further comprising determining states of the blood vessel alls in response to the determined spectral response data for the blood vessel walls.
27. A system for analyzing blood vessels in the presence of intervening fluid, the system comprising: a source of radiation: a catheter for directing the radiation at blood \esscl walls through intervening fluid and collecting radiation from the blood vessel walls; a detector system of monitoring the collected radiation; a controller for generating spectral responses from the collected radiation detected by the detector system; an analyzer for determining spectral responses of the blood vessel walls from the collected spectral responses from the controller and generating information for assessment of the blood vessel walls in response to the determined spectral responses of the blood vessel walls.
28. A system as claimed in claim 27, wherein the source comprises an optical source
29. A system as claimed in claim 27. wherein the source comprises a near infrared source.
30. A system as claimed in claim 27, wherein the analyzer determines the spectral responses of the blood vessel walls by applying a filter generated in response to spectra of the fluid lo remove a contribution of the fluid.
31 . A system as claimed in claim 30, wherein the spectra of the fluid is collected when a head of the catheter is at a relatively large distance from the blood vessel walls.
32. A system as claimed in claim 30, wherein the spectra of the fluid is collected in a reference well, ex vivo
; 33. A system as claimed in claim 30, wherein the filter is based on a generalized least squares analysis.
34. A system as claimed in claim 33, wherein parameters of the generalized least squares filter are optimized by analyzing a performance of the filter in improving the assessment of a state of the blood vessel walls by the analyzer.
_ ,
35. A system as claimed in claim 30, wherein the filter is based on an orthogonal subspace projection analysis.
36. A system as claimed in claim 35, wherein a subspace projection dimension of the filter is optimized by analyzing a performance of the filler in improving an accuracy of a discrimination process.
i i 37. A system as claimed in claim 27, wherein the analyzer assesses states of the blood vessel walls in response to the determined spectral responses of the blood vessel alls by determining whether the blood vessel walls is comprised of vulnerable or non-vulnerable plaques.
38. A system as claimed in claim 27, wherein the analyzer assesses states of the blood vessel walls in response to the determined spectral responses of the blood vessel walls by determining whether the blood vessel walls are comprised of atheromas or normal tissue,
39. A system as claimed in claim 27, wherein the analyzer assesses states of the blood vessel walls in response lo the determined spectral responses of the
':'.. blood vessel walls by applying multivariate regression techniques,
40. A system as claimed in claim 27, wherein the analyzer provides a quantitative assessment of the blood vessel walls to an operator,
4 1. A s stem as claimed in claim 27, wherein the analyzer assesses states of the blood vessel walls in response to the determined spectral responses of the 54
blood vessel walls by relating the determined spectral responses with spectra! responses of vessels walls in different states.
42. A method for de-emphasizing a blood response in a spectral response of a structure of interest, the method comprising: generating a filter determined by spectra representing a response of the blood which is collected at a relatively large distance from the structure of interest through the blood; and applying the filter to a collected spectral response including the blood response to generate the spectral response of the structure of interest.
43. A system for spectrally analyzing interior structures of animals in the presence of unwanted spectral signal sources, the system comprising: a source of radiation: a catheter for directing the radiation at the interior structures through intervening medium and collecting radiation returning from the interior structures: a detector system of monitoring radiation from the interior structures: a spectrometer controller for generating spectral responses from the monitored radiation detected by the detector system; an analyzer for determining spectral responses of the interior structures from the generated spectral responses from the spectrometer controller by removing a contribution of the medium and generating an assessment of a state of the internal structures in response to the determined spectral responses of the internal structures.
44. An analysis method, which comprises: receiving spectral response data generated by irradiation of blood vessels. the spectra) response data including unwanted spectral signals: processing the spectral response data to reduce the unwanted spectral signals relative to the blood vessel responses to generate determined spectral response data of the blood vessels: 55
using the determined spectral response data to generate an analysis of the blood vessels
45. A method as claimed in claim 44, wherein the spectral response data were generated fro the irradiation of blood 
through intervening fiuid giving rise to the unwanted spectral signals.
46. A method as claimed in claim 45, wherein the spectral response data were generated from irradiation with optical radiation.
47. A method as claimed in claim 45. wherein the spectral response data were generated from the irradiation with near infiared radiation.
48. A method as claimed in claim 44. further comprising processing the spectral response data to remove offsets and/or slopes,
49. A method as claimed in claim 44, furthci comprising processing the spectral response data to eliminate sources of variation of the signal not related to signal of interest.
50. A method as claimed in claim 44. further comprising processing the spectral response data by normalizing and/or autoscaling.
51. A method as claimed in claim 44, further comprising processing the spectral response data to enhance the spectral signal.
52. A method as claimed in claim 44, furthet comprising processing the spectral response data to mean center the responses.
53. A method as claimed in claim 44, further comprising processing the spectral response data by detrending the responses
54. A method as claimed in claim 4, furthei comprising processing the spectral response data to reduce random noise or unwanted signal that may be caused by instrumental responses using smoothing techniques. 56
55. A method as claimed in claim 44, further comprising processing the spectral response data to reduce random noise or unwanted signal that may be caused by instrumental responses using Savitsky-Golay smoothing.
56. A method as claimed in claim 44, further comprising processing the spectral response data to remove multiplicative effects.
57. A method as claimed in claim 44, further comprising processing the spectral response data using standard normal variance (SNV) analysis.
58. A method as claimed in claim 44, further comprising processing the spectra! response data using multiplicative signal or scatter correction (MSC) analysis.
59. A method as claimed in claim 44, wherein the step of using the determined spectral response data to analyze the blood vessels comprises applying multivariate analysis for a qualification analysis, such as discrimination and classification, of the blood vessels,
60. A method as claimed in claim 59, wherein the multivariate analysis includes Principal Component Analysis,
61. A method as claimed in claim 59, wherein the multivariate analysis includes Principal Component Analysis combined with a statistical boundary, such as Mahalanobis distance,
62. A method as claimed in claim 59, wherein the multivariate analysis includes Principal Component Analysis combined with a residual analysis and a statistical boundary, such as Mahalanobis distance.
63. A method as claimed in claim 59. wherein the multivariate analysis includes Partial Least Squares Discriminant Analysis. 57
64. A method as claimed in claim 44. wherein the step of using the determined spectral response data to analyze the blood vessels comprises applying multivariate analysis for quantification of a state of the blood vessels.
65. A method as claimed in claim 64. wherein the multivariate analysis includes using Partial Least Squares analysis,
66. A method as claimed in claim 44, wherein the step of using the determined spectral response data to analyze the blood vessels comprises applying machine language learning for discrimination or classification of a state of the blood vessels.
67. A method as claimed in claim 66. wherein the machine language analysis includes using support vector machine analysis,
68. A method as claimed in claim 66. wherein the machine language analysis includes using artificial neural networks analysis,
69. A method as claimed in claim 44, wherein the step of processing the spectral response data comprises up-weighting the blood vessel responses.
70. A method as claimed in claim 44, wherein the step of processing the spectral response data comprises down-weighting the unwanted spectral
71. A method as claimed in claim 44, wherein the step of processing the spectral response data comprises up-weighting the blood vessel responses and comprises down-weighting the unwanted spectral signal, in either order.
72. A method as claimed in claim 44. wherein the spectral response data were generated by irradiating the blood vessels using a catheter.
73. A method as claimed in claim 44, wherein the unwanted spectral signal was generated at least in part by temperature fluctuation, heart motion, and/or catheter motion.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2004526194A JP2005534415A (en) | 2002-08-05 | 2003-07-29 | Unnecessary signal filter and method for discriminating anxious plaques by spectroscopic analysis |
| EP03766947A EP1538968B1 (en) | 2002-08-05 | 2003-07-29 | Spectroscopic unwanted signal filters for discrimination of vulnerable plaque and method therefor |
| DE60321470T DE60321470D1 (en) | 2002-08-05 | 2003-07-29 | SPECTROSCOPY FILTER FOR UNWANTED SIGNALS FOR DISCRIMINATING RECEPTIVE PLAQUE AND METHOD THEREFOR |
| AU2003256954A AU2003256954A1 (en) | 2002-08-05 | 2003-07-29 | Spectroscopic unwanted signal filters for discrimination of vulnerable plaque and method therefor |
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US10/212,845 | 2002-08-05 | ||
| US10/212,845 US7486985B2 (en) | 2002-08-05 | 2002-08-05 | Near-infrared spectroscopic analysis of blood vessel walls |
| US10/426,750 | 2003-04-30 | ||
| US10/426,750 US7689268B2 (en) | 2002-08-05 | 2003-04-30 | Spectroscopic unwanted signal filters for discrimination of vulnerable plaque and method therefor |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2004012594A1 WO2004012594A1 (en) | 2004-02-12 |
| WO2004012594B1 true WO2004012594B1 (en) | 2004-03-25 |
Family
ID=31498041
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2003/023624 WO2004012594A1 (en) | 2002-08-05 | 2003-07-29 | Spectroscopic unwanted signal filters for discrimination of vulnerable plaque and method therefor |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US7689268B2 (en) |
| EP (1) | EP1538968B1 (en) |
| JP (1) | JP2005534415A (en) |
| AT (1) | ATE397409T1 (en) |
| AU (1) | AU2003256954A1 (en) |
| DE (1) | DE60321470D1 (en) |
| WO (1) | WO2004012594A1 (en) |
Families Citing this family (62)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1551299A4 (en) * | 2002-08-05 | 2010-01-20 | Infraredx Inc | Near-infrared spectroscopic analysis of blood vessel walls |
| US7539530B2 (en) * | 2003-08-22 | 2009-05-26 | Infraredx, Inc. | Method and system for spectral examination of vascular walls through blood during cardiac motion |
| US20050228295A1 (en) * | 2004-04-01 | 2005-10-13 | Infraredx, Inc. | Method and system for dual domain discrimination of vulnerable plaque |
| US20060135869A1 (en) * | 2004-12-07 | 2006-06-22 | Farina James D | System and method for measuring arterial vessels using near infrared spectroscopy at simultaneous multiple wavelengths |
| US7127372B2 (en) * | 2005-02-24 | 2006-10-24 | Itt Manufacturing Enterprises, Inc. | Retro-regression residual remediation for spectral/signal identification |
| US7450241B2 (en) * | 2005-09-30 | 2008-11-11 | Infraredx, Inc. | Detecting vulnerable plaque |
| EP1959250A4 (en) * | 2006-01-20 | 2011-10-12 | Sumitomo Electric Industries | Analyzer, authenticity judging device, authenticity judging method, and underground searching method |
| US20080125634A1 (en) * | 2006-06-14 | 2008-05-29 | Cornova, Inc. | Method and apparatus for identifying and treating myocardial infarction |
| US8160668B2 (en) * | 2006-09-29 | 2012-04-17 | Nellcor Puritan Bennett Llc | Pathological condition detector using kernel methods and oximeters |
| US20100286477A1 (en) * | 2009-05-08 | 2010-11-11 | Ouyang Xiaolong | Internal tissue visualization system comprising a rf-shielded visualization sensor module |
| US8965762B2 (en) | 2007-02-16 | 2015-02-24 | Industrial Technology Research Institute | Bimodal emotion recognition method and system utilizing a support vector machine |
| TWI365416B (en) * | 2007-02-16 | 2012-06-01 | Ind Tech Res Inst | Method of emotion recognition and learning new identification information |
| US20090287093A1 (en) * | 2008-05-15 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US20090287094A1 (en) * | 2008-05-15 | 2009-11-19 | Seacrete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US20090292213A1 (en) * | 2008-05-21 | 2009-11-26 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US20100036268A1 (en) * | 2008-08-07 | 2010-02-11 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US20090292214A1 (en) * | 2008-05-22 | 2009-11-26 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US20100036209A1 (en) * | 2008-08-07 | 2010-02-11 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US20090287110A1 (en) * | 2008-05-14 | 2009-11-19 | Searete Llc | Circulatory monitoring systems and methods |
| US8636670B2 (en) * | 2008-05-13 | 2014-01-28 | The Invention Science Fund I, Llc | Circulatory monitoring systems and methods |
| US20090287076A1 (en) * | 2007-12-18 | 2009-11-19 | Boyden Edward S | System, devices, and methods for detecting occlusions in a biological subject |
| US20090281413A1 (en) * | 2007-12-18 | 2009-11-12 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Systems, devices, and methods for detecting occlusions in a biological subject |
| US20100036263A1 (en) * | 2008-08-07 | 2010-02-11 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US20090292222A1 (en) * | 2008-05-14 | 2009-11-26 | Searete Llc | Circulatory monitoring systems and methods |
| US9672471B2 (en) * | 2007-12-18 | 2017-06-06 | Gearbox Llc | Systems, devices, and methods for detecting occlusions in a biological subject including spectral learning |
| US20090287120A1 (en) | 2007-12-18 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
| US9717896B2 (en) | 2007-12-18 | 2017-08-01 | Gearbox, Llc | Treatment indications informed by a priori implant information |
| US20090281412A1 (en) * | 2007-12-18 | 2009-11-12 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | System, devices, and methods for detecting occlusions in a biological subject |
| US9713448B2 (en) | 2008-04-03 | 2017-07-25 | Infraredx, Inc. | System and method for intravascular structural analysis compensation of chemical analysis modality |
| JP2011519689A (en) * | 2008-05-07 | 2011-07-14 | インフラレデックス， インコーポレイテッド | Multimodal catheter system for intravascular analysis |
| US20100069760A1 (en) * | 2008-09-17 | 2010-03-18 | Cornova, Inc. | Methods and apparatus for analyzing and locally treating a body lumen |
| US20110009694A1 (en) * | 2009-07-10 | 2011-01-13 | Schultz Eric E | Hand-held minimally dimensioned diagnostic device having integrated distal end visualization |
| US20100121139A1 (en) | 2008-11-12 | 2010-05-13 | Ouyang Xiaolong | Minimally Invasive Imaging Systems |
| US20100261530A1 (en) * | 2009-04-13 | 2010-10-14 | Thomas David R | Game controller simulating parts of the human anatomy |
| US20100284580A1 (en) * | 2009-05-07 | 2010-11-11 | Ouyang Xiaolong | Tissue visualization systems and methods for using the same |
| US20120078117A1 (en) * | 2009-05-13 | 2012-03-29 | Kyoto University | Blood vessel inner wall analyzing device and blood vessel inner wall analyzing method |
| EP2430980A4 (en) * | 2009-05-13 | 2015-02-11 | Sumitomo Electric Industries | Blood vessel inner wall analyzing device and blood vessel inner wall analyzing method |
| US8804133B2 (en) * | 2009-06-16 | 2014-08-12 | Technion Research & Development Foundation Limited | Method and system of adjusting a field of view of an interferometric imaging device |
| US8812087B2 (en) * | 2009-06-16 | 2014-08-19 | Technion Research & Development Foundation Limited | Method and system of spectrally encoded imaging |
| WO2012064769A2 (en) | 2010-11-08 | 2012-05-18 | Vasonova, Inc. | Endovascular navigation system |
| CN103476321B (en) * | 2011-04-18 | 2017-02-08 | 皇家飞利浦有限公司 | Classification of tumor tissue with a personalized threshold |
| US8818754B2 (en) * | 2011-04-22 | 2014-08-26 | Nanometrics Incorporated | Thin films and surface topography measurement using reduced library |
| US8958867B2 (en) | 2011-08-29 | 2015-02-17 | Infraredx, Inc. | Detection of lipid core plaque cap thickness |
| US8965060B2 (en) * | 2011-10-13 | 2015-02-24 | Pioneer Hi-Bred International, Inc. | Automatic detection of object pixels for hyperspectral analysis |
| WO2014118601A1 (en) * | 2013-01-31 | 2014-08-07 | Universidade Do Minho | Optical system for parameter characterization of an element of body fluid or tissue |
| JP6155746B2 (en) * | 2013-03-27 | 2017-07-05 | セイコーエプソン株式会社 | Calibration curve creation method, calibration curve creation device, and target component calibration device |
| US10438581B2 (en) | 2013-07-31 | 2019-10-08 | Google Llc | Speech recognition using neural networks |
| US10342579B2 (en) | 2014-01-13 | 2019-07-09 | Trice Medical, Inc. | Fully integrated, disposable tissue visualization device |
| US11547446B2 (en) | 2014-01-13 | 2023-01-10 | Trice Medical, Inc. | Fully integrated, disposable tissue visualization device |
| US9370295B2 (en) | 2014-01-13 | 2016-06-21 | Trice Medical, Inc. | Fully integrated, disposable tissue visualization device |
| DE102014114131A1 (en) * | 2014-03-10 | 2015-09-10 | Beijing Lenovo Software Ltd. | Information processing and electronic device |
| WO2016006113A1 (en) * | 2014-07-11 | 2016-01-14 | 株式会社ニコン | Image analysis device, imaging system, surgery assistance system, image analysis method, and image analysis program |
| US10776654B2 (en) | 2015-03-10 | 2020-09-15 | Infraredx, Inc. | Assessment of lipid core plaque integrity |
| AU2016305010B2 (en) | 2015-08-11 | 2019-06-20 | Trice Medical, Inc. | Fully integrated, disposable tissue visualization device |
| JP7426823B2 (en) * | 2017-01-24 | 2024-02-02 | コーニンクレッカ フィリップス エヌ ヴェ | Device for determining information related to occlusions of concern |
| KR102032611B1 (en) * | 2017-08-23 | 2019-10-15 | 주식회사 메디웨일 | Method and application for determining cardiovascular disease using ct image |
| US11622753B2 (en) | 2018-03-29 | 2023-04-11 | Trice Medical, Inc. | Fully integrated endoscope with biopsy capabilities and methods of use |
| KR102627146B1 (en) | 2018-07-20 | 2024-01-18 | 삼성전자주식회사 | Apparatus and method for processing spectrum |
| US11467851B1 (en) * | 2019-11-21 | 2022-10-11 | Synopsys, Inc. | Machine learning (ML)-based static verification for derived hardware-design elements |
| US20220000414A1 (en) * | 2020-07-03 | 2022-01-06 | The Research Foundation For The State University Of New York | Systems and methods for detecting cognitive diseases and impairments in humans |
| CN114403817B (en) * | 2022-01-25 | 2023-03-10 | 首都医科大学附属北京安贞医院 | Method and device for measuring radial change of coronary artery |
| CN115227504B (en) * | 2022-07-18 | 2023-05-26 | 浙江师范大学 | Automatic lifting sickbed system based on electroencephalogram-eye electric signals |
Family Cites Families (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3463142A (en) * | 1966-07-05 | 1969-08-26 | Trw Inc | Blood content monitor |
| CA1279901C (en) | 1985-03-22 | 1991-02-05 | Carter Kittrell | Catheter for laser angiosurgery |
| US4894013A (en) * | 1988-10-13 | 1990-01-16 | The United States Of America As Represented By The Department Of Health And Human Services | Anthropomorphic cardiac ultrasound phantom |
| US5239185A (en) | 1990-06-22 | 1993-08-24 | Hitachi, Ltd. | Method and equipment for measuring absorptance of light scattering materials using plural wavelengths of light |
| US5197470A (en) * | 1990-07-16 | 1993-03-30 | Eastman Kodak Company | Near infrared diagnostic method and instrument |
| US5121337A (en) | 1990-10-15 | 1992-06-09 | Exxon Research And Engineering Company | Method for correcting spectral data for data due to the spectral measurement process itself and estimating unknown property and/or composition data of a sample using such method |
| JPH06505183A (en) | 1991-02-26 | 1994-06-16 | マサチユセツツ・インスチチユート・オブ・テクノロジー | Molecular spectrometer system and method for diagnosing tissues |
| US6134003A (en) | 1991-04-29 | 2000-10-17 | Massachusetts Institute Of Technology | Method and apparatus for performing optical measurements using a fiber optic imaging guidewire, catheter or endoscope |
| US5441053A (en) | 1991-05-03 | 1995-08-15 | University Of Kentucky Research Foundation | Apparatus and method for multiple wavelength of tissue |
| US5596992A (en) | 1993-06-30 | 1997-01-28 | Sandia Corporation | Multivariate classification of infrared spectra of cell and tissue samples |
| US5697373A (en) | 1995-03-14 | 1997-12-16 | Board Of Regents, The University Of Texas System | Optical method and apparatus for the diagnosis of cervical precancers using raman and fluorescence spectroscopies |
| US5678550A (en) * | 1995-08-11 | 1997-10-21 | The United States Of America As Represented By The Secretary Of The Department Of Health And Human Services | Apparatus and method for in situ detection of areas of cardiac electrical activity |
| DE69622764T2 (en) | 1995-09-20 | 2003-04-24 | Texas Heart Inst Houston | y DISPLAY OF THERMAL DISCONTINUITY ON VESSEL WALLS |
| WO1998001071A1 (en) * | 1996-07-08 | 1998-01-15 | Animas Corporation | Implantable sensor and system for in vivo measurement and control of fluid constituent levels |
| US6016440A (en) | 1996-07-29 | 2000-01-18 | Bruker Analytik Gmbh | Device for infrared (IR) spectroscopic investigations of internal surfaces of a body |
| US6115673A (en) | 1997-08-14 | 2000-09-05 | Instrumentation Metrics, Inc. | Method and apparatus for generating basis sets for use in spectroscopic analysis |
| US6193676B1 (en) | 1997-10-03 | 2001-02-27 | Intraluminal Therapeutics, Inc. | Guide wire assembly |
| US6842639B1 (en) | 1997-10-03 | 2005-01-11 | Intraluminal Therapeutics, Inc. | Method and apparatus for determining neovascular flow through tissue in a vessel |
| WO2000019889A1 (en) * | 1998-10-08 | 2000-04-13 | University Of Kentucky Research Foundation | Methods and apparatus for in vivo identification and characterization of vulnerable atherosclerotic plaques |
| US6441388B1 (en) | 1998-10-13 | 2002-08-27 | Rio Grande Medical Technologies, Inc. | Methods and apparatus for spectroscopic calibration model transfer |
| US6321200B1 (en) | 1999-07-02 | 2001-11-20 | Mitsubish Electric Research Laboratories, Inc | Method for extracting features from a mixture of signals |
| US6512937B2 (en) | 1999-07-22 | 2003-01-28 | Sensys Medical, Inc. | Multi-tier method of developing localized calibration models for non-invasive blood analyte prediction |
| US6442408B1 (en) | 1999-07-22 | 2002-08-27 | Instrumentation Metrics, Inc. | Method for quantification of stratum corneum hydration using diffuse reflectance spectroscopy |
| US6549861B1 (en) * | 2000-08-10 | 2003-04-15 | Euro-Celtique, S.A. | Automated system and method for spectroscopic analysis |
| US6529770B1 (en) * | 2000-11-17 | 2003-03-04 | Valentin Grimblatov | Method and apparatus for imaging cardiovascular surfaces through blood |
| US20030032064A1 (en) | 2001-03-01 | 2003-02-13 | Umass/Worcester | Correction of spectra for subject diversity |
| US20050130321A1 (en) * | 2001-04-23 | 2005-06-16 | Nicholson Jeremy K. | Methods for analysis of spectral data and their applications |
| US6615062B2 (en) * | 2001-05-31 | 2003-09-02 | Infraredx, Inc. | Referencing optical catheters |
-
2003
- 2003-04-30 US US10/426,750 patent/US7689268B2/en active Active
- 2003-07-29 AT AT03766947T patent/ATE397409T1/en not_active IP Right Cessation
- 2003-07-29 AU AU2003256954A patent/AU2003256954A1/en not_active Abandoned
- 2003-07-29 JP JP2004526194A patent/JP2005534415A/en active Pending
- 2003-07-29 WO PCT/US2003/023624 patent/WO2004012594A1/en active Application Filing
- 2003-07-29 DE DE60321470T patent/DE60321470D1/en not_active Expired - Fee Related
- 2003-07-29 EP EP03766947A patent/EP1538968B1/en not_active Expired - Lifetime
Also Published As
| Publication number | Publication date |
|---|---|
| EP1538968B1 (en) | 2008-06-04 |
| JP2005534415A (en) | 2005-11-17 |
| EP1538968A1 (en) | 2005-06-15 |
| AU2003256954A1 (en) | 2004-02-23 |
| ATE397409T1 (en) | 2008-06-15 |
| US20040024298A1 (en) | 2004-02-05 |
| WO2004012594A1 (en) | 2004-02-12 |
| DE60321470D1 (en) | 2008-07-17 |
| US7689268B2 (en) | 2010-03-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2004012594B1 (en) | Spectroscopic unwanted signal filters for discrimination of vulnerable plaque and method therefor | |
| US7539530B2 (en) | Method and system for spectral examination of vascular walls through blood during cardiac motion | |
| EP1250082B1 (en) | Classification and characterization of tissue through features related to adipose tissue | |
| US6442408B1 (en) | Method for quantification of stratum corneum hydration using diffuse reflectance spectroscopy | |
| EP0623306A1 (en) | Method for non-invasive measurement of concentration of analytes in blood using continuous spectrum radiation | |
| JP2004526141A (en) | A method for processing broadband elastic scattering spectra obtained from tissue. | |
| EP1129333A1 (en) | Methods and apparatus for tailoring spectroscopic calibration models | |
| JP2003245266A (en) | Highly reliable noninvasive blood gas measuring method | |
| JP2013526395A (en) | Apparatus, system, method and computer accessible medium for spectral analysis of optical coherence tomography images | |
| JP2005534428A (en) | Near-infrared spectroscopic analysis of blood vessel walls | |
| WO2005020789A2 (en) | Cepstral domain pulse oximetry | |
| WO2007064796A2 (en) | Method and apparatus for noninvasively estimating a property of an animal body analyte from spectral data | |
| EP1402820A1 (en) | Biological optical measuring instrument | |
| US20160327524A1 (en) | Photoacoustic physio-chemical tissue analysis | |
| US20090198113A1 (en) | Dedicated spectral illumination spectroscopy | |
| JPH07132120A (en) | Nonaggressive measuring method and device of specimen concentration using discontinuous emission | |
| WO2007066589A1 (en) | Method and apparatus for examining and diagnosing life style-related disease using near-infrared spectroscopy | |
| JPH11342123A (en) | Non-invasion organic component measuring device | |
| Yang et al. | Removal of analyte-irrelevant variations in near-infrared tissue spectra | |
| WO2023145810A1 (en) | System and method for measuring concentration of component included in body fluid | |
| KR102466236B1 (en) | Photoacoustic diagnosis apparatus and method using a combination of laser having a single wavelength. | |
| JPH09126996A (en) | Method and device for measuring ketone body in organism | |
| WO1996013201A1 (en) | Non-invasive measurement of analyte concentration in blood | |
| Graves et al. | In vivo time-resolved optical spectroscopy of mice | |
| Cingo et al. | In vivo multivariate calibration models developed using real and sham reference oxygen saturation data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| AK | Designated states |
Kind code of ref document: A1 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SY TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW |
|
| AL | Designated countries for regional patents |
Kind code of ref document: A1 Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG |
|
| B | Later publication of amended claims |
Effective date: 20040123 |
|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
| DFPE | Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101) | ||
| WWE | Wipo information: entry into national phase |
Ref document number: 2003766947 Country of ref document: EP |
|
| WWE | Wipo information: entry into national phase |
Ref document number: 2004526194 Country of ref document: JP |
|
| WWP | Wipo information: published in national office |
Ref document number: 2003766947 Country of ref document: EP |