Literature DB >> 18692991

3D delineation of prostate, rectum and bladder on MR images.

N Betrouni1, A S Dewalle, P Puech, M Vermandel, J Rousseau.   

Abstract

In radiotherapy planning, target volumes and organs at risk delineation are a tedious and time-consuming task. In this paper we address a method to assist the radiologist in this task. We developed a 3D deformable model for prostate segmentation and used a seeded region growing algorithm for bladder and rectum delineation on MR images. Evaluation of the methods is made by comparison of the results to manual delineation in 24 patients. The following parameters were measured: volume ratio (V R) (automatic/manual), volume overlap (V O) (ratio of the volume of intersection to the volume of union, optimal value=1), and correctly delineated volume (V C) (percent ratio of the volume of intersection to the manual defined volume, optimal value=100). For prostate the V R, V O and V C were 1.13 (+/-0.1), 0.78 (+/-0.05) and 94.75 (+/-3.3), respectively. For rectum, the V R, V O and V C were 0.97 (+/-0.1), 0.78 (+/-0.06) and 86.52 (+/-5), respectively. V R, V O and V C were 0.95 (+/-0.03), 0.88 (+/-0.03) and 91.29 (+/-3.1) for bladder, respectively.

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Year:  2008        PMID: 18692991     DOI: 10.1016/j.compmedimag.2008.07.002

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.

Authors:  Robert Toth; Pallavi Tiwari; Mark Rosen; Galen Reed; John Kurhanewicz; Arjun Kalyanpur; Sona Pungavkar; Anant Madabhushi
Journal:  Med Image Anal       Date:  2010-10-28       Impact factor: 8.545

2.  Does running cause metatarsophalangeal joint effusions? A comparison of synovial fluid volumes on MRI in athletes before and after running.

Authors:  Amy-Rose Kingston; Andoni P Toms; Subhadip Ghosh-Ray; Shelley Johnston-Downing
Journal:  Skeletal Radiol       Date:  2009-01-30       Impact factor: 2.199

3.  A semiautomatic tool for prostate segmentation in radiotherapy treatment planning.

Authors:  Jörn Schulz; Stein Olav Skrøvseth; Veronika Kristine Tømmerås; Kirsten Marienhagen; Fred Godtliebsen
Journal:  BMC Med Imaging       Date:  2014-01-25       Impact factor: 1.930

  3 in total

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