Literature DB >> 17345003

A computer-aided multidisease diagnostic system using MRCP.

Rajasvaran Logeswaran1.   

Abstract

Automated computer analysis of magnetic resonance cholangiopancreatography (MRCP) (a focused magnetic resonance imaging sequence for the pancreatobiliary region of the abdomen) images for biliary diseases is a difficult problem because of the large inter- and intrapatient variations in the images, varying acquisition settings, and characteristics of the images, defeating most attempts to produce computer-aided diagnosis systems. This paper proposes a system capable of automated preliminary diagnosis of several diseases affecting the bile ducts in the liver, namely, dilation, stones, tumor, and cyst. The system first identifies the biliary ductal structure present in the MRCP images, and then proceeds to determine the presence or absence of the diseases. Tested on a database of 593 clinical images, the system, which uses visual-based features, has shown to be successful in delivering good performance of 70-90% even in the presence of multiple diseases, and may be useful in aiding medical practitioners in routine MRCP examinations.

Entities:  

Mesh:

Year:  2007        PMID: 17345003      PMCID: PMC3043863          DOI: 10.1007/s10278-007-9029-4

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  1 in total

1.  Breath-hold MR cholangiopancreatography using a HASTE sequence: comparison of single-slice and multislice acquisition techniques.

Authors:  O Ernst; M Calvo; G Sergent; D Mizrahi; F Carpentier
Journal:  AJR Am J Roentgenol       Date:  1997-11       Impact factor: 3.959

  1 in total
  2 in total

1.  Graph-cut energy minimization for object extraction in MRCP medical images.

Authors:  Rajasvaran Logeswaran; Dongho Kim; Jungwhan Kim; Keechul Jung; Bundo Song
Journal:  J Med Syst       Date:  2010-04-06       Impact factor: 4.460

2.  Segment-growing hierarchical model for bile duct detection in MRCP.

Authors:  Rajasvaran Logeswaran
Journal:  J Med Syst       Date:  2009-12       Impact factor: 4.460

  2 in total

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