Liver segmentation using automatically defined patient specific B-Spline surface models

Song, Y., Bulpitt, A.J. and Brodlie, K.W. (2009) Liver segmentation using automatically defined patient specific B-Spline surface models. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 : 12th International Conference, London, UK, September 20-24, 2009, Proceedings. Lecture Notes in Computer Science (5762). Springer , Tiergartenstraße 17, 69121 Heidelberg, Germany , pp. 43-50. ISBN 978-3-642-04270-6

Abstract

Metadata

Authors/Creators:
  • Song, Y. (y.song@leeds.ac.uk)
  • Bulpitt, A.J. (A.J.Bulpitt@leeds.ac.uk)
  • Brodlie, K.W. (K.W.Brodlie@leeds.ac.uk)
Copyright, Publisher and Additional Information: © 2009 Springer-Verlag Berlin Heidelberg. This is an author produced version of a paper published in 'Lecture Notes in Computer Science'. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: liver segmentation, patient-specific model, level set, deformable model, B-Spline,
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Depositing User: Dr Yi Song
Date Deposited: 11 Dec 2009 11:50
Last Modified: 16 Sep 2016 13:48
Published Version: http://dx.doi.org/10.1007/978-3-642-04271-3_6
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: 10.1007/978-3-642-04271-3_6

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Filename: MICCAI-LNCS5762pp43[1].pdf

Description: This paper proposes a model-driven approach which creates a deformable model from each patient dataset directly

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