Toward reliable, noninvasive measurement of myocardial function from 4D images

James S. Duncan; Peng-Cheng Shi; Amir A. Amimi; R. Todd Constable; Lawrence H. Staib; Donald Dione; QingXin Shi; Elliot K. Heller; Michael Singer; Amit Chakraborty; Glynn P. Robinson; John C. Gore; Albert J. Sinusas

doi:10.1117/12.174390

1 May 1994 Toward reliable, noninvasive measurement of myocardial function from 4D images

James S. Duncan, Peng-Cheng Shi, Amir A. Amimi, R. Todd Constable, Lawrence H. Staib, Donald Dione, QingXin Shi, Elliot K. Heller, Michael Singer, Amit Chakraborty, Glynn P. Robinson, John C. Gore, Albert J. Sinusas

Author Affiliations +

Proceedings Volume 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images; (1994) https://doi.org/10.1117/12.174390
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

This paper describes efforts aimed at more accurately and objectively determining and quantifying the local, regional, and global function of the left ventricle (LV) of the heart under both normal and ischemic conditions. These measurements and evaluations are made using non-invasive, 3-D, cardiac diagnostic imaging sequences (i.e., 4-D data) and rely on an approach that follows the shape properties of the endocardial and epicardial surfaces of the LV over the entire cardiac cycle. Our efforts involve the development of an acute infarct animal model that permits us to establish the validity of our noninvasive image analysis algorithms, as well as permits us to study the efficacy of using in vivo, image-derived measures of function for predicting regional myocardial viability (immediately post mortem). We first describe the experimental setup for the animal model, including the use of implanted imaging-opaque markers that assist in setting up a gold standard against which image-derived measurements can be evaluated. Next, the imaging techniques are described, and finally the image analysis methods and their comparison to the validation technique are discussed.

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James S. Duncan, Peng-Cheng Shi, Amir A. Amimi, R. Todd Constable, Lawrence H. Staib, Donald Dione, QingXin Shi, Elliot K. Heller, Michael Singer, Amit Chakraborty, Glynn P. Robinson, John C. Gore, and Albert J. Sinusas "Toward reliable, noninvasive measurement of myocardial function from 4D images", Proc. SPIE 2168, Medical Imaging 1994: Physiology and Function from Multidimensional Images, (1 May 1994); https://doi.org/10.1117/12.174390

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