DocumentCode :
2182471
Title :
High resolution segmentation of MR images of mouse heart chambers based on a partial-pixel effect and EM algorithm
Author :
Ye, Xujiong ; Noble, J. Alison
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
fYear :
2002
fDate :
2002
Firstpage :
257
Lastpage :
260
Abstract :
In this paper, a high resolution segmentation method for MR images of mouse heart chambers is developed, in which the EM algorithm is adopted and extended to the spatio-temporal cardiac cycle, and a partial pixel effect (PPE) is accommodated so that the heart chambers boundary is detected to sub-pixel accuracy. The method has been tested on high and low spatial resolution images. Quantitative measurements of the left ventricle (LV) area-time curve over cardiac cycle are reported, which show that the accuracy of the LV area can be improved based on the new method, on low spatial resolution images. The average relative error of the area estimate of the new method applied to low resolution images relative to measurements on high resolution images is less than 8%.
Keywords :
biological NMR; biological techniques; biology computing; cardiology; edge detection; image resolution; image segmentation; EM algorithm; area estimate; average relative error; heart chambers boundary; high resolution images; high resolution segmentation; low resolution images; magnetic resonance imaging; mouse heart chambers; partial pixel effect; partial-pixel effect; spatiotemporal cardiac cycle; Area measurement; Biomedical imaging; Heart; High-resolution imaging; Image resolution; Image segmentation; Mice; Pixel; Spatial resolution; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
Type :
conf
DOI :
10.1109/ISBI.2002.1029242
Filename :
1029242
Link To Document :
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