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Proceedings Paper

Segmentation of polycystic kidneys from MR images
Author(s): Dimitri Racimora; Pierre-Hugues Vivier; Hersh Chandarana; Henry Rusinek
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Paper Abstract

Polycystic kidney disease (PKD) is a disorder characterized by the growth of numerous fluid filled cysts in the kidneys. Measuring cystic kidney volume is thus crucial to monitoring the evolution of the disease. While T2-weighted MRI delineates the organ, automatic segmentation is very difficult due to highly variable shape and image contrast. The interactive stereology methods used currently involve a compromise between segmentation accuracy and time. We have investigated semi-automated methods: active contours and a sub-voxel morphology based algorithm. Coronal T2- weighted images of 17 patients were acquired in four breath-holds using the HASTE sequence on a 1.5 Tesla MRI unit. The segmentation results were compared to ground truth kidney masks obtained as a consensus of experts. Automatic active contour algorithm yielded an average 22% ± 8.6% volume error. A recently developed method (Bridge Burner) based on thresholding and constrained morphology failed to separate PKD from the spleen, yielding 37.4% ± 8.7% volume error. Manual post-editing reduced the volume error to 3.2% ± 0.8% for active contours and 3.2% ± 0.6% for Bridge Burner. The total time (automated algorithm plus editing) was 15 min ± 5 min for active contours and 19 min ± 11 min for Bridge Burner. The average volume errors for stereology method were 5.9%, 6.2%, 5.4% for mesh size 6.6, 11, 16.5 mm. The average processing times were 17, 7, 4 min. These results show that nearly two-fold improvement in PKD segmentation accuracy over stereology technique can be achieved with a combination of active contours and postediting.

Paper Details

Date Published: 9 March 2010
PDF: 11 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76241W (9 March 2010); doi: 10.1117/12.844361
Show Author Affiliations
Dimitri Racimora, New York Univ. Medical Ctr. (United States)
Pierre-Hugues Vivier, Univ. of Rouen School of Medicine (France)
Hersh Chandarana, New York Univ. Medical Ctr. (United States)
Henry Rusinek, New York Univ. Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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