Title :
Multiple pixel intensity region growing algorithm for surface reconstruction using ECG gated MRI
Author :
Agris, Jacob M. ; Defigueiredo, Rui
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
The identification of pixels that belong to a 3-D region of interest is discussed. The error function and spatial constraint, which a pixel must satisfy to be included in a region of interest, are discussed. The region grows outward in 3-D space from an initial pixel known to be within the region. Satisfaction of the multi-intensity error function and the spatial constraint is reported to result in a robust algorithm that uniquely identifies regions of interest
Keywords :
biomedical NMR; electrocardiography; patient diagnosis; picture processing; 3D region of interest; ECG gated MRI; magnetic resonance imaging; medical diagnostic imaging; multi-intensity error function; multiple pixel intensity region growing algorithm; spatial constraint; surface reconstruction; Cardiovascular diseases; Electrocardiography; Image reconstruction; Kernel; Magnetic resonance imaging; Magnetization; Protons; Robustness; Surface reconstruction; Volume relaxation;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95843
