@inproceedings{77a529b0f0424e3ca279121d5cba07a9,
title = "Semi-automatic Crohn{\textquoteright}s disease severity estimation on MR imaging",
abstract = "Crohn{\textquoteright}s disease (CD) is a chronic inflammatory bowel disease which can be visualized by magnetic resonance imaging (MRI). For CD grading, several non-invasive MRI based severity scores are known, most prominent the MaRIA and AIS. As these scores rely on manual MRI readings for individual bowel segments by trained radiologists, automated MRI assessment has been more and more focused in recent research. We show on a dataset of 27 CD patients that semi-automatically measured bowel wall thickness (ABWT) and dynamic contrast enhancement (DCE) completely outperform manual scorings: the segmental correlation to the Crohn{\textquoteright}s Disease Endoscopic Index of Severity (CDEIS) of ABWT and DCE is significantly higher (r =.78) than that of MaRIA (r =.45) or AIS (r =.51). Also on a per-patient basis, the models with ABWT and DCE show significantly higher correlation (r =.69) to global CDEIS than MaRIA (r =.46).",
keywords = "Computer vision, Crohns disease, Crohns disease severity, MRI",
author = "Sch{\"u}ffler, {Peter J.} and Dwarikanath Mahapatra and Robiel Naziroglu and Zhang Li and Puylaert, {Carl A.J.} and Rado Andriantsimiavona and Vos, {Franciscus M.} and Pends{\'e}, {Doug A.} and {Yung Nio}, C. and Jaap Stoker and Taylor, {Stuart A.} and Buhmann, {Joachim M.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 ; Conference date: 14-09-2014 Through 14-09-2014",
year = "2014",
doi = "10.1007/978-3-319-13692-9_12",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "128--138",
editor = "Hiroyuki Yoshida and N{\"a}ppi, {Janne J.} and Sanjay Saini",
booktitle = "Abdominal Imaging",
}