Quantitative analysis of gated SPECT images using an efficient physical deformation model

In this paper, we present quantitative analysis of cardiac images using an efficient physical deformation model to evaluate ventricular function. By using this model we can accurately and efficiently compute ventricular volume, myocardial mass, endo- and epi-cardial wall motions and wall thickness over a full cardiac cycle. Patients with cardiac diseases were studied in our modeling and measurement framework using gated single-photon emission computed tomographic images. The results show that quantitative analysis using the model is very useful for the assessment of the extent and severity of myocardial ischemia or infarction. And it could be helpful to improve the decision-making process in the treatment of patients with cardiac diseases.

[1]  N L Fazzalari,et al.  A composite three‐dimensional echocardiographic technique for left ventricular volume estimation in children: Comparison with angiography and established echographic methods , 1986, Journal of clinical ultrasound : JCU.

[2]  B. Lüderitz,et al.  A simplified, practical echocardiographic approach for 3-dimensional surfacing and quantitation of the left ventricle: clinical application in patients with abnormally shaped hearts. , 1998, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[3]  H. Saunders,et al.  Finite element procedures in engineering analysis , 1982 .

[4]  Matt A. King,et al.  Evaluation of right and left ventricular volume and ejection fraction using a mathematical cardiac torso phantom. , 1997, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[5]  D. Lalush,et al.  A realistic spline-based dynamic heart phantom , 1998, 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255).

[7]  N. Reichek,et al.  Recommendations for quantitation of the left ventricle by two-dimensional echocardiography. American Society of Echocardiography Committee on Standards, Subcommittee on Quantitation of Two-Dimensional Echocardiograms. , 1989, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[8]  N Tonami,et al.  Accuracy of ventricular volume and ejection fraction measured by gated myocardial SPECT: comparison of 4 software programs. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[9]  Soo-Mi Choi,et al.  Quantitative analysis and visualization of the endocardial and epicardial walls using gated SPECT images , 2001, SPIE Medical Imaging.

[10]  J. Marcus,et al.  MRI-derived left ventricular function parameters and mass in healthy young adults: Relation with gender and body size , 1999, The International Journal of Cardiac Imaging.

[11]  Alex Pentland,et al.  Closed-Form Solutions for Physically Based Shape Modeling and Recognition , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Jinah Park,et al.  Analysis of left ventricular wall motion based on volumetric deformable models and MRI-SPAMM , 1996, Medical Image Anal..

[13]  Demetri Terzopoulos,et al.  Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..

[14]  Soo-Mi Choi,et al.  Motion visualization of human left ventricle with a time-varying deformable model for cardiac diagnosis , 2001, Comput. Animat. Virtual Worlds.

[15]  Nicholas Ayache,et al.  Frequency-Based Nonrigid Motion Analysis: Application to Four Dimensional Medical Images , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Irène Buvat,et al.  Using Spatial-Temporal Images for Analysis of Gated Cardiac Tomographic Data: The "M-Mode" Revisited , 1997, IPMI.

[17]  Isak Gath,et al.  Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Alex Pentland,et al.  Recovery of Nonrigid Motion and Structure , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Laurent D. Cohen,et al.  Tracking and motion analysis of the left ventricle with deformable superquadrics , 1996, Medical Image Anal..

[20]  W. A. Hanson,et al.  Interactive 3D segmentation of MRI and CT volumes using morphological operations. , 1992, Journal of computer assisted tomography.

[21]  Alex Pentland,et al.  Closed-form solutions for physically-based shape modeling and recognition , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[22]  Walter Maurel,et al.  Biomechanical Models for Soft Tissue Simulation , 2003, Esprit Basic Research Series.

[23]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[24]  Demetri Terzopoulos,et al.  A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis. , 1995, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[25]  Thomas S. Huang,et al.  Modeling, Analysis, and Visualization of Left Ventricle Shape and Motion by Hierarchical Decomposition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..