Patent
Unique cardiovascular measurements for human identification
| العنوان: | Unique cardiovascular measurements for human identification |
|---|---|
| Patent Number: | 9,031,288 |
| تاريخ النشر: | May 12, 2015 |
| Appl. No: | 13/449720 |
| Application Filed: | April 18, 2012 |
| مستخلص: | A method, an apparatus and an article of manufacture for generating a cardiovascular measurement for individual identification. The method includes acquiring at least one depiction of cardiac anatomy from an individual, extracting at least one quantified representation of cardiac anatomy from the at least one depiction, defining at least one comparison technique between the at least one quantified representation of cardiac anatomy and at least one additional quantified representation of cardiac anatomy, and identifying the individual based on the at least one defined comparison technique. |
| Inventors: | Codella, Noel C. (Lagrangeville, NY, US); Connell, Jonathan (Cortlandt-Manor, NY, US); Leiguang, Gong (New Brunswick, NJ, US); Natsev, Apostol I. (Harrison, NY, US); Ratha, Nalini (White Plains, NY, US) |
| Assignees: | International Business Machines Corporation (Armonk, NY, US) |
| Claim: | 1. A method for generating a cardiovascular measurement for individual identification, wherein the method comprises: acquiring multiple imaging modality signals pertaining to cardiac anatomy of a given individual, wherein the cardiac anatomy comprises a left ventricle of a heart; extracting multiple quantified representation of cardiac anatomy from the a multiple imaging modality signals, wherein the multiple quantified representations comprise (i) a quantified representation of an endocardial lumen of the left ventricle, (ii) a quantified representation of a myocardial wall of the left ventricle, and (iii) a quantified representation of papillary muscles of the left ventricle; determining a pattern of cardiac anatomy associated with the given individual based on (i) the quantified representation of the endocardial lumen of the left ventricle, (ii) the quantified representation of the myocardial wall of the left ventricle, and (iii) the quantified representation of the papillary muscles of the left ventricle; defining at least one comparison technique between the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy; and identifying the given individual based on the at least one defined comparison technique. |
| Claim: | 2. The method of claim 1 , wherein the multiple imaging modality signals comprises a transverse slice of the left ventricle. |
| Claim: | 3. The method of claim 1 , wherein an imaging modality signal comprises a digital image. |
| Claim: | 4. The method of claim 1 , wherein the multiple imaging modality signals pertaining to cardiac anatomy is acquired during end diastolic phase. |
| Claim: | 5. The method of claim 1 , wherein acquiring the multiple imaging modality signals pertaining to cardiac anatomy comprises acquiring the multiple imaging modality signals pertaining to cardiac anatomy via at least one anatomical imaging modality including one of magnetic resonance imaging (MRI), computed tomography (CT), two-dimensional (2D) echo/ultrasound, three-dimensional (3D) echo/ultrasound, positron emission tomography (PET) or a combination thereof. |
| Claim: | 6. The method of claim 1 , wherein identifying the given individual comprises defining a similarity measure between the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy to produce at least one score. |
| Claim: | 7. The method of claim 6 , wherein the pattern of cardiac anatomy associated with the given individual is a plurality of images for the given individual, and wherein said comparing comprises computing a score between pairs of images from individuals, and generating a final comparison score which is a function of two or more pair scores. |
| Claim: | 8. The method of claim 6 , wherein identifying the given individual based on the defined similarity measure is based on a similarity measure threshold. |
| Claim: | 9. The method of claim 8 , wherein the similarity measure threshold is different for different individuals. |
| Claim: | 10. The method of claim 1 , wherein said defining at least one comparison technique comprises geometric aligning and warping of the representations to be compared. |
| Claim: | 11. The method of claim 1 , wherein said defining at least one comparison technique is based on a pixel-wise difference of one or more selected anatomical structures in a representation. |
| Claim: | 12. The method of claim 1 , wherein said defining at least one comparison technique is based on identifying individual papillary fibers and determining a correspondence between fibers in two representations. |
| Claim: | 13. The method of claim 1 , wherein said extracting comprises using a segmentation technique. |
| Claim: | 14. The method of claim 1 , wherein the at least one comparison technique comprises implementing an algorithm that analyzes left ventricle anatomical structures including at least one of endocardium, myocardium, and papillary muscles. |
| Claim: | 15. The method of claim 1 , wherein identifying the given individual based on the at least one defined comparison technique comprises: defining two or more similarity measures between the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy; and combining the two or more similarity measures to produce at least one score. |
| Claim: | 16. An article of manufacture comprising a non-transitory computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising: acquiring multiple imaging modality signals pertaining to cardiac anatomy of a given individual, wherein the cardiac anatomy comprises a left ventricle of a heart; extracting multiple quantified representation of cardiac anatomy from the multiple imaging modality signals, wherein the multiple quantified representations comprise (i) a quantified representation of an endocardial lumen of the left ventricle, (ii) a quantified representation of a myocardial wall of the left ventricle, and (iii) a quantified representation of papillary muscles of the left ventricle; determining a pattern of cardiac anatomy associated with the given individual based on (i) the quantified representation of the endocardial lumen of the left ventricle, (ii) the quantified representation of the myocardial wall of the left ventricle, and (iii) the quantified representation of the papillary muscles of the left ventricle; defining at least one comparison technique between the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy; and identifying the given individual based on the at least one defined comparison technique. |
| Claim: | 17. The article of manufacture of claim 16 , wherein said identifying the given individual based on the at least one defined comparison technique comprises defining a similarity measure between the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy to produce at least one score. |
| Claim: | 18. The article of manufacture of claim 17 , wherein comparing the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy includes geometric aligning and warping of the representations to be compared. |
| Claim: | 19. The article of manufacture of claim 17 , wherein comparing the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy comprises identifying individual papillary fibers and determining a correspondence between fibers in two representations. |
| Claim: | 20. A system for generating a cardiovascular measurement for individual identification, comprising: at least one distinct software module, each distinct software module being embodied on a tangible computer-readable medium; a memory; and at least one processor coupled to the memory and operative for: acquiring multiple imaging modality signals pertaining to cardiac anatomy of a given individual, wherein the cardiac anatomy comprises a left ventricle of a heart; extracting multiple quantified representation of cardiac anatomy from the multiple imaging modality signals, wherein the multiple quantified representations comprise (i) a quantified representation of an endocardial lumen of the left ventricle, (ii) a quantified representation of a myocardial wall of the left ventricle, and (iii) a quantified representation of papillary muscles of the left ventricle; determining a pattern of cardiac anatomy associated with the given individual based on (i) the quantified representation of the endocardial lumen of the left ventricle, (ii) the quantified representation of the myocardial wall of the left ventricle, and (iii) the quantified representation of the papillary muscles of the left ventricle; defining at least one comparison technique between the pattern of cardiac anatomy associated with the given individual and at least one additional pattern of cardiac anatomy; and identifying the given individual based on the at least one defined comparison technique. |
| Claim: | 21. The system of claim 20 , wherein the at least one processor is further operative for acquiring the multiple imaging modality signals pertaining to cardiac anatomy via at least one anatomical imaging modality including one of magnetic resonance imaging (MRI), computed tomography (CT), two-dimensional (2D) echo/ultrasound, three-dimensional (3D) echo/ultrasound, positron emission tomography (PET) or a combination thereof. |
| Claim: | 22. The system of claim 21 , wherein the at least one processor is further operative for defining a similarity measure between the pattern of cardiac anatomy associated with the given individual and at least one additional quantified pattern of cardiac anatomy to produce at least one score. |
| Claim: | 23. The system of claim 22 , wherein the at least one processor is further operative for geometric aligning and warping of the representations to be compared. |
| Claim: | 24. The system of claim 22 , wherein the at least one processor is further operative for identifying individual papillary fibers and determining a correspondence between fibers in two representations. |
| Current U.S. Class: | 382/115 |
| Patent References Cited: | 5737439 April 1998 Lapsley et al. 6993378 January 2006 Wiederhold et al. 7956890 June 2011 Cheng et al. 8031912 October 2011 Dennis et al. 2002/0138768 September 2002 Murakami et al. 2008/0292169 November 2008 Wang et al. 2008/0319275 December 2008 Chiu et al. 2009/0097713 April 2009 DeLean 2009/0262894 October 2009 Shukla et al. 2010/0113950 May 2010 Lin et al. 2010/0145202 June 2010 McLaughlin et al. 2010/0215238 August 2010 Lu et al. 2011/0064284 March 2011 Punithakumar et al. 2011/0209214 August 2011 Simske et al. 2011/0211057 September 2011 Iwase et al. 2012/0173576 July 2012 Gillam et al. 2013/0039559 February 2013 Grass et al. 2013/0251099 September 2013 Kunz et al. 2013/0338447 December 2013 Gilad-Gilor |
| Other References: | Cheng et al. ECG to Identify Individuals, Pattern Recognition, vol. 38, pp. 133-142, 2005. cited by applicant Wubbeler et al. Verification of Humans Using the Electrocardiogram, Pattern Recogn. Lett., vol. 28, pp. 1172-1175, Jul. 2007. cited by applicant Haghjoo et al. The Effects of Sedative Music, Arousal Music, and Silence on Electrocardiography Signals, Journal of Electrocardiology, vol. 44, pp. 396, 2011. cited by applicant Dande et al. Takotsubo Cardiomyopathy Followed by Neurogenic Stunned Myocardium in the Same Patient: Gradations of the Same Disease, Cardiology, vol. 118, No. 3, 2011. cited by applicant Janik et al. Effects of Papillary Muscles and Trabeculae on Left Ventricular Quantification: Increased Impact on Methodological Variability in Patients with Left Ventricular Hypertrophy, Hypertension, vol. 26, pp. 1677-1685, 2008. cited by applicant Waterton et al. Magnetic Resonance (mr) Cine Imaging of the Human Heart, Br J. Radiol, vol. 58, No. 692, pp. 711-716, 1985. cited by applicant Cham et al. Left Ventricle: Automated Segmentation by Using Myocardial Effusion Threshold Reduction and Intravoxel Computation at MR Imaging, Radiology, vol. 248, No. 3, pp. 1004-1012, 2008. cited by applicant Wong et al. Rapid and Accurate Left Ventricular Chamber Quantification Using a Novel CMR Segmentation Algorithm: a Clinical Validation Study, J. Magn Reson Imaging, vol. 31, No. 4, pp. 845-853, 2010. cited by applicant Codella et al. Improved Left Ventricular Quantification with Partial Voxel Interpolation, in Vivo and Necropsy Validation of a Novel Cardiac MRI Segmentation Algorithm, Circulation Cardiovascular Imaging, 2011. cited by applicant Wang et al. Analysis of Human Electrocardiogram for Biometric Recognition, EURASIP J. Adv. Signal Proc. 2008. cited by applicant Nasri et al., Using ECG as a Measure in Biometric Identification Systems, TIC-STH, 2009, IEEE, pp. 28-33. cited by applicant Pereira-Coutinho et al., One-Lead ECG-Based Personal Identification Using Ziv-Merhav Cross Parsing, 2010 International Conference on Pattern Recognition, IEEE, pp. 3858-3861. cited by applicant El-Bendary et al., HSAS: Heart Sound Authentication System, 2010 Second World Congress on Nature and Biologically Inspired Computing, Dec. 15-17, 2010, pp. 351-356. cited by applicant Guernoun et al., Continuous Authentication by Electrocardiogram Data, TIC-STH, 2009, IEEE, pp. 40-42. cited by applicant Lee et al., Automatic Left Ventricle Segmentation Using Iteractive Thresholding and an Active Contour Model with Adaptation on Short-Axis Cardiac MRI, IEEE Transactions on Biomedical Engineering, vol. 57, No. 4, Apr. 2010, pp. 905-913. cited by applicant Yamada et al., Impact of Artificial Gummy Fingers on Fingerprint Systems, Proceedings of SPIE, Optical Security and Counterfeit Deterrence Techniques, vol. 8577, Oct. 2002. cited by applicant Hatzinakos et al., HeartID: Cardiac Biometric Recognition, Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010, pp. 1-5. cited by applicant Li et al., Robust ECG Biometrics by Fusing Temporal and Cepstral Information, International Conference on Pattern Recognition, 2010, IEEE, pp. 1326-1329. cited by applicant |
| Assistant Examiner: | Bloom, Nathan |
| Primary Examiner: | Chu, Randolph I |
| Attorney, Agent or Firm: | Ryan, Mason & Lewis, LLP |
| رقم الانضمام: | edspgr.09031288 |
| قاعدة البيانات: | USPTO Patent Grants |
| الوصف غير متاح. |