TY - JOUR
T1 - Computational modeling for assessment of IBD: to be or not to be?
AU - Vos, Franciscus M.
AU - Tielbeek, Jeroen A. W.
AU - Naziroglu, Robiel E.
AU - Li, Zhang
AU - Schueffler, Peter
AU - Mahapatra, Dwarikanath
AU - Wiebel, Alexander
AU - Lavini, C.
AU - Buhmann, Joachim M.
AU - Hege, Hans-Christian
AU - Stoker, Jaap
AU - van Vliet, Lucas J.
PY - 2012
Y1 - 2012
N2 - The grading of inflammatory bowel disease (IBD) severity is important to determine the proper treatment strategy and to quantify the response to treatment. Traditionally, ileocolonoscopy is considered the reference standard for assessment of IBD. However, the procedure is invasive and requires extensive bowel preparation. Magnetic resonance imaging (MRI) has become an important tool for determining the presence of disease activity. Unfortunately, only moderate interobserver agreement is reported for most of the radiological severity measures. There is a clear demand for automated evaluation of MR images in Crohn's disease (CD). This paper aims to introduce a preliminary suite of fundamental tools for assessment of CD severity. It involves procedures for image analysis, classification and visualization to predict the colonoscopy disease scores
AB - The grading of inflammatory bowel disease (IBD) severity is important to determine the proper treatment strategy and to quantify the response to treatment. Traditionally, ileocolonoscopy is considered the reference standard for assessment of IBD. However, the procedure is invasive and requires extensive bowel preparation. Magnetic resonance imaging (MRI) has become an important tool for determining the presence of disease activity. Unfortunately, only moderate interobserver agreement is reported for most of the radiological severity measures. There is a clear demand for automated evaluation of MR images in Crohn's disease (CD). This paper aims to introduce a preliminary suite of fundamental tools for assessment of CD severity. It involves procedures for image analysis, classification and visualization to predict the colonoscopy disease scores
U2 - https://doi.org/10.1109/EMBC.2012.6346837
DO - https://doi.org/10.1109/EMBC.2012.6346837
M3 - Article
C2 - 23366798
SN - 1557-170X
VL - 2012
SP - 3974
EP - 3977
JO - Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
JF - Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ER -