title: A supervised learning approach for Crohn's disease detection using higher-order image statistics and a novel shape asymmetry measure.
abstract: Increasing incidence of Crohn's disease (CD) in the Western world has made its accurate diagnosis an important medical challenge. The current reference standard for diagnosis, colonoscopy, is time-consuming and invasive while magnetic resonance imaging (MRI) has emerged as the preferred noninvasive procedure over colonoscopy. Current MRI approaches assess rate of contrast enhancement and bowel wall thickness, and rely on extensive manual segmentation for accurate analysis. We propose a supervised learning method for the identification and localization of regions in abdominal magnetic resonance images that have been affected by CD. Low-level features like intensity and texture are used with shape asymmetry information to distinguish between diseased and normal regions. Particular emphasis is laid on a novel entropy-based shape asymmetry method and higher-order statistics like skewness and kurtosis. Multi-scale feature extraction renders the method robust. Experiments on real patient data show that our features achieve a high level of accuracy and perform better than two competing methods.
authors: Department of Computer Science, ETH Zurich, Zurich, Switzerland, dmahapatra@gmail.com.
authors: Dwarikanath
authors: D
authors: Mahapatra
authors: Peter
authors: P
authors: Schueffler
authors: Jeroen A W
authors: JA
authors: Tielbeek
authors: Joachim M
authors: JM
authors: Buhmann
authors: Franciscus M
authors: FM
authors: Vos
mesh_terms: D000328:Adult; D000368:Aged; D003106:Colon / Q000473:pathology; D003424:Crohn Disease / Q000175:diagnosis* / Q000473:pathology*; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055815:Young Adult
references: IEEE Trans Image Process. 2002;11(4):467-76
references: 18244647
references: Inf Process Med Imaging. 2011;22:510-24
references: 21761682
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):58-65
references: 22003684
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):420-7
references: 22003727
references: Radiology. 2006 Feb;238(2):505-16
references: 16436815
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):199-206
references: 22003700
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):354-61
references: 22003719
references: Gut. 1989 Jul;30(7):983-9
references: 2668130
references: Comput Med Imaging Graph. 2011 Oct-Dec;35(7-8):515-30
references: 21481567
references: Med Image Comput Comput Assist Interv. 2008;11(Pt 1):771-9
references: 18979816
references: IEEE Trans Image Process. 1999;8(3):346-60
references: 18262878
references: Vision Res. 1982;22(5):545-59
references: 7112954
references: IEEE Trans Image Process. 2006 Oct;15(10):3020-32
references: 17022267
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):124-32
references: 22003692
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):133-40
references: 22003693
references: Neurobiol Aging. 2008 Apr;29(4):514-23
references: 17174012
references: Acad Radiol. 2008 Aug;15(8):966-77
references: 18620117
references: IEEE Trans Biomed Eng. 2011 Apr;58(4):991-1000
references: 21097377
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):91-8
references: 22003688
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):183-90
references: 22003698
references: Top Magn Reson Imaging. 2002 Dec;13(6):409-25
references: 12478021
references: Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3974-7
references: 23366798
references: Radiology. 2008 Apr;247(1):64-79
references: 18372465
references: Neuroimage. 2011 Apr 1;55(3):856-67
references: 21236349
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):83-90
references: 22003687
references: IEEE Trans Image Process. 2012 Jan;21(1):170-83
references: 21791411
references: Perception. 1973;2(4):391-405
references: 4803948
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):239-47
references: 22003705
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 1):476-83
references: 22003652
references: Med Image Comput Comput Assist Interv. 2010;13(Pt 1):493-501
references: 20879267
references: Inf Process Med Imaging. 2011;22:184-96
references: 21761656
references: Med Image Comput Comput Assist Interv. 2011;14(Pt 3):25-32
references: 22003680
references: Gut. 2009 Aug;58(8):1113-20
references: 19136510