Title :
Motility analysis of gated myocardium SPECT images
Author :
Kim, Jae Young ; Son, Byong Hwan ; Lee, Byeong Il ; Choi, Heung Kook
Author_Institution :
Sch. of Comput. Eng., Inje Univ., Gimhae, South Korea
Abstract :
Cardiologists assume that analysis of the motion of the heart (especially the left ventricle) can give some information about the health of the myocardium. We applied the myocardium model in a gated myocardium SPECT image that showed a cardiac biochemical reaction, and analyzed the motility between the gated myocardium SPECT image and the myocardium model. We constructed a left ventricle myocardium model and mathematically evaluated the motion of the myocardium. The myocardium model was created based on four-dimensional transformation. A four-dimensional transformation is defined to describe the left ventricle (LV) motion and a method is presented to estimate it from sequences of three dimensional super-ellipsoidal models that were using the sinusoidal function. To express a similar form and motion of the left ventricle myocardium, we calculated parameter functions that gave the changing of motion and form. It is continuous and regular in time and space, and periodicity in time can be imposed. The LSF (least square fitting) algorithm was applied to the myocardium gated SPECT image data and the myocardium model, which finally created a fitting model. We then analyzed a regional motility direction and size of the gated myocardium SPECT constructed on a fitting model. Furthermore, we implemented the Bull´s Eye map that had evaluated the heart function for the presentation of regional motility. Using myocardium´s motion, the evaluation of cardiac function of SPECT was estimated by a contraction ability, perfusion etc.
Keywords :
biochemistry; biomechanics; cardiology; haemorheology; muscle; physiological models; single photon emission computed tomography; Bull´s Eye map; cardiac biochemical reaction; cardiologists; contraction ability; four-dimensional transformation; gated myocardium SPECT images; heart motion; least square fitting algorithm; left ventricle; left ventricle motion; motility analysis; myocardium model; perfusion; Biochemical analysis; Cardiology; Heart; Image analysis; Image motion analysis; Information analysis; Mathematical model; Motion analysis; Motion estimation; Myocardium;
Conference_Titel :
Enterprise Networking and Computing in Healthcare Industry, 2004. HEALTHCOM 2004. Proceedings. 6th International Workshop on
Print_ISBN :
0-7803-8453-9
DOI :
10.1109/HEALTH.2004.1324473