Terminal-ileum Centerline Extraction from Magnetic Resonance Enterography Data of Crohn's Disease Patients

Rotem Benisty, Faten Haj Ali Shinnawi, Moshe Porat, Anat Illivitzki, Moti Freiman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Crohn's disease (CD), a chronic inflammatory bowel disorder, often affects the terminal ileum (TI) and leads to digestive tract inflammation and complications like bowel obstruction. Accurately determining the 3D extent of CD from 2D Magnetic Resonance Enterography (MRE) images requires approximations, as no automated 3D measurement system exists. We developed an intelligent MRE reading application for virtual unfolding and 3D visualization of MRE data. We introduce a semi-automatic algorithm to predict the TI centerline from MRE data to reduce radiologist interaction time. The algorithm involves constructing an orientation classifier and implementing a shortest path algorithm to determine the TI centerline. We evaluated the algorithm's effectiveness on a database of 123 MRE scans using a k-fold cross-validation experimental setup, comparing the predicted centerline with a radiologist-annotated centerline considered as ground-truth. The results showed good alignment with the ground-truth centerline with minimal interaction time.Clinical relevance: This study introduces a semi-automatic algorithm that accurately predicts the terminal ileum centerline from MRE data, streamlining the diagnostic process for Crohn's disease. By reducing radiologist interaction time in assessing the 3D extent of the disease from 2D images, the algorithm holds promise for improving early diagnosis and treatment strategies for affected patients.

Original languageEnglish
Title of host publication2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Pages59-60
Number of pages2
ISBN (Electronic)9798350383386
DOIs
StatePublished - 2023
Event2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 - Malta, Malta
Duration: 7 Dec 20239 Dec 2023

Publication series

Name2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

Conference

Conference2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Country/TerritoryMalta
CityMalta
Period7/12/239/12/23

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Information Systems
  • Health Informatics
  • Human-Computer Interaction
  • Biomedical Engineering

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