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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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