Literature DB >> 23366798

Computational modeling for assessment of IBD: to be or not to be?

Franciscus M Vos1, Jeroen A W Tielbeek, Robiel E Naziroglu, Zhang Li, Peter Schueffler, Dwarikanath Mahapatra, Alexander Wiebel, C Lavini, Joachim M Buhmann, Hans-Christian Hege, Jaap Stoker, Lucas J van Vliet.   

Abstract

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.

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Year:  2012        PMID: 23366798     DOI: 10.1109/EMBC.2012.6346837

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  A supervised learning approach for Crohn's disease detection using higher-order image statistics and a novel shape asymmetry measure.

Authors:  Dwarikanath Mahapatra; Peter Schueffler; Jeroen A W Tielbeek; Joachim M Buhmann; Franciscus M Vos
Journal:  J Digit Imaging       Date:  2013-10       Impact factor: 4.056

2.  Automatic cardiac segmentation using semantic information from random forests.

Authors:  Dwarikanath Mahapatra
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

3.  Curved planar reformatting and convolutional neural network-based segmentation of the small bowel for visualization and quantitative assessment of pediatric Crohn's disease from MRI.

Authors:  Yechiel Lamash; Sila Kurugol; Moti Freiman; Jeannette M Perez-Rossello; Michael J Callahan; Athos Bousvaros; Simon K Warfield
Journal:  J Magn Reson Imaging       Date:  2018-10-24       Impact factor: 4.813

4.  Evaluation of conventional, dynamic contrast enhanced and diffusion weighted MRI for quantitative Crohn's disease assessment with histopathology of surgical specimens.

Authors:  Jeroen A W Tielbeek; Manon L W Ziech; Zhang Li; Cristina Lavini; Shandra Bipat; Willem A Bemelman; Joris J T H Roelofs; Cyriel Y Ponsioen; Frans M Vos; Jaap Stoker
Journal:  Eur Radiol       Date:  2013-09-15       Impact factor: 5.315

5.  A Probabilistic Method for Estimation of Bowel Wall Thickness in MR Colonography.

Authors:  Thomas Hampshire; Alex Menys; Asif Jaffer; Gauraang Bhatnagar; Shonit Punwani; David Atkinson; Steve Halligan; David J Hawkes; Stuart A Taylor
Journal:  PLoS One       Date:  2017-01-10       Impact factor: 3.240

  5 in total

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