Gadolinium-Free Crohn's Disease Assessment from Magnetic Resonance Enterography Data

Yaniv Ziselman, Faten Hajali Shinnawi, Mary Louise Greer, Gili Focht, Dan Turner, Moti Freiman

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Magnetic resonance enterography (MRE) based indices are used to assess the severity of Crohn's disease (CD) in patients. Manual calculation of these indices by radiologists is both time consuming and subject to bias. Specifically, terminal-ileum (TI) wall-thickening is challenging to estimate, especially from gadolinium-free T2-weighted MRI data. We present a machine-learning-based system to automatically segment the TI and classify wall-thickening from T2-weighted MRE data. We introduce an anatomically-constrained U-net segmentation model to cope with the inherently heterogeneous appearance, large anatomical variability and limited availability of data for TI segmentation from MRE data. We evaluated the added-value of our anatomically-constrained segmentation model on 180 T2-weighted MRE scans collected as part of the ImageKids study using k-fold cross-validation experimental setup. The anatomically-constrained segmentation model improved segmentation results compared to a vanilla U-Net by means of both Dice score and Housdorff distance (17.931mm vs. 19.97mm, p<0.05). We used histogram-based features with an SVM classifier to distinguish between patients with and without TI high wall thickness (> 8mm vs. < 3mm, N=18). Leave-one-out experimental demonstrated high agreement with the radiologists' assessment (F1 score of 0.933 and a Cohen's kappa score of 0.6). The proposed approach has the potential to facilitate objective assessment of CD from MRE data.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفISBI 2022 - Proceedings
العنوان الفرعي لمنشور المضيف2022 IEEE International Symposium on Biomedical Imaging
الصفحات1-5
عدد الصفحات5
رقم المعيار الدولي للكتب (الإلكتروني)9781665429238
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 28 مارس 2022
الحدث19th IEEE International Symposium on Biomedical Imaging, ISBI 2022 - Kolkata, الهند
المدة: ٢٨ مارس ٢٠٢٢٣١ مارس ٢٠٢٢

سلسلة المنشورات

الاسمProceedings - International Symposium on Biomedical Imaging
مستوى الصوت2022-March

!!Conference

!!Conference19th IEEE International Symposium on Biomedical Imaging, ISBI 2022
الدولة/الإقليمالهند
المدينةKolkata
المدة٢٨/٠٣/٢٢٣١/٠٣/٢٢

All Science Journal Classification (ASJC) codes

  • !!Biomedical Engineering
  • !!Radiology Nuclear Medicine and imaging

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