A computer-assisted model for detection of MRI signs of Crohn's disease activity: future or fiction?
Magnetic resonance imaging is increasingly used for abdominal evaluation and is more and more considered as the optimal imaging technique for detection of mural inflammation in patients with Crohn's disease. Grading the disease activity is important in daily clinical practice to monitor the medical...
| Publicado en: | Abdominal Imaging Vol. 37; no. 6; pp. 967 - 974 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104392634&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104392634 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09428925 O52 jtl: Abdominal Imaging issn: 09428925 maglogo: N pubinfo: dt: Dec2012 vid: 37 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104392634 NLM22134675 2011789515 10.1007/s00261-011-9822-x NLM22134675 PMC3517801 104392634 ppf: 967 ppct: 7 formats: fmt: @attributes: type: P tig: atl: A computer-assisted model for detection of MRI signs of Crohn's disease activity: future or fiction? aug: au: Tielbeek JA Vos FM Stoker J Tielbeek, Jeroen A W Vos, Frans M Stoker, Jaap affil: Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands sug: subj: Crohn Disease Pathology Image Processing, Computer Assisted Methods Magnetic Resonance Imaging Methods Human Image Processing, Computer Assisted Standards Intestine, Small Pathology Severity of Illness Indices ab: Magnetic resonance imaging is increasingly used for abdominal evaluation and is more and more considered as the optimal imaging technique for detection of mural inflammation in patients with Crohn's disease. Grading the disease activity is important in daily clinical practice to monitor the medical treatment and is assessed by evaluating different magnetic resonance imaging features. Unfortunately, only moderate interobserver agreement is reported for most of the subjective features and should be improved. A computer-assisted model for automatic detection of abnormalities, ability to grade disease severity, and thereby influence clinical disease management based on magnetic resonance imaging is missing. Recent techniques have focused on semi-automated methods for classification and segmentation of the bowel and also on objective measurement of bowel wall enhancement using absolute T1-values or dynamic contrast-enhanced imaging. This article reviews the available computerized techniques, as well as preferred developments. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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