Abstract #2387
Kidney Segmentation in DCE-MRI Based on Curvelet Transform and Snake Model
Hao Li 1 , Bin Chen 1 , Xiaoying Wang 1,2 , and JUE ZHANG 1,3
1
Academy for Advanced Interdisciplinary
Studies, Peking University, Beijing, Beijing, China,
2
Radiology,
Peking University First Hospital, Beijing, Beijing,
China,
3
College
of Enigneering, Peking University, Beijing, Beijing,
China
Segmentation of internal kidney structures is essential
for functional evaluation in dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI). Manual
morphological segmentation of cortex, medulla and
cavities remains difficult and time-consuming. In this
paper, a semi-automated segment method for magnetic
resonance renal images is proposed, which is based on
Curvelet transform and Snake Model. Compared
quantitatively with manual contour, the proposed
segmentation showed satisfactory performance, and could
become a feasible preprocessing tool for renal
segmentation and renal functional analysis.
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