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Abstract #2482

Semi-automatic method for generating multiplanar reformatting views of MR post-contrast T1-weighted images for visualizing and assessing pediatric Crohn’s disease

Yechiel Lamash1, Sila Kurugol1, Moti Freiman1, and Simon K Warfield1

1Radiology, Boston Childrens Hospital and Harvard Medical School, Boston, MA, United States

In this proposed study, we aim to develop a semi-automated method for generating multiplanar reformatting images (MPR) of pediatric Crohn’s disease (pCD) segments from T1-weighted post-contrast MR image data. We demonstrate that this method can efficiently visualize and assess this disease. Importantly, the centerline length can be used as a reliable measure of the extent of disease. Moreover, the MPR image can be used as a platform for intestinal wall segmentation and for more accurate depiction of luminal narrowing. We also expect such MPR views to be used as a unified parametric platform for evaluating disease progression in follow-up scans.

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