Technical Program

Paper Detail

Paper:	SA-AM-OS2.5
Session:	Image Segmentation and Shape Analysis
Time:	Saturday, April 8, 11:10 - 11:30
Presentation:	Oral
Title:	Shape vs. Volume: Invariant Shape Descriptors for 3D Region of Interest Characterization in MRI
Authors:	Sina Tootoonian; University of British Columbia
	Rafeef Abugharbieh; University of British Columbia
	Xuemei Huang; University of North Carolina School of Medicine
	Martin McKeown; University of British Columbia
Abstract:	We propose a new approach for quantifying regions of interest (ROIs) in medical image data. Rotationally invariant shape descriptors (ISDs) were applied to 3D reconstructions of the thalami and caudate nuclei extracted from MRI scans of 5 Parkinson’s patients and 10 control subjects. In the caudate, both the ISD and volumetric analyses found significant differences between control and PD subjects, with the ISD analysis revealing some additional differences. In the thalamus, the volumetric analysis showed significant differences between PD and control subjects, while ISD analysis found significant differences between the left and right thalami in control subjects but not in PD patients, implying disease-induced shape changes. These results suggest that employing ISDs for ROI characterization both complements and extends traditional volumetric analyses.

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