DocumentCode
2819588
Title
The assessment of myocardial motion in gated-SPECT using a multiresolution technique
Author
Gutierrez, MA ; Rebelo, MS ; Furuie, SS ; Pozzo, L. ; Meneghetti, JC ; Melo, CP
Author_Institution
Heart Inst., Sao Paulo Univ., Brazil
fYear
2000
fDate
2000
Firstpage
303
Lastpage
306
Abstract
The assessment of the left ventricular (LV) motion in gated SPECT images is routinely used to identify myocardial ischemia. The precise evaluation of LV motion changes remains a largely qualitative process due to difficulties in quantifying endocardial border position and regional wall motion. In a previous work the authors described a method to estimate motion in image sequences based on the computation of the Optical Flow (OF). A common basic problem in estimating OF concerns how to compute derivative approximations from discrete data. The intrinsic ill-posedness of numerical differentiation can be transformed into a well-posed problem by using filters in the form of scaled convolution operators. Using this approach, the computing of OF can be improved and the information obtained used to measure other physical quantities in a sequence of images. In this work the authors propose and apply to a set of volunteers the measurement of the kinetic energy index, based on OF estimation
Keywords
biomechanics; cardiology; edge detection; image resolution; image sequences; medical image processing; motion estimation; muscle; single photon emission computed tomography; endocardial border position quantification; intrinsic ill-posedness; kinetic energy index; medical diagnostic imaging; nuclear medicine; numerical differentiation; scaled convolution operators; volunteers; Convolution; Energy measurement; Image motion analysis; Image sequences; Ischemic pain; Motion estimation; Myocardium; Optical computing; Optical filters; Physics computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 2000
Conference_Location
Cambridge, MA
ISSN
0276-6547
Print_ISBN
0-7803-6557-7
Type
conf
DOI
10.1109/CIC.2000.898517
Filename
898517
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