Vein segmentation using shape-based Markov random fields

Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, Amanda C. L. Ng, David G. Barnes, David L. Dowe, Gary F. Egan

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

3 Citations (Scopus)


The magnetic susceptibility of haemoglobin is modulated by oxygen saturation, providing a mechanism to non-invasively measure oxygen extraction fraction. When combined with perfusion techniques, quantitative susceptibility mapping facilitates regional measurement of cerebral metabolic rate of oxygen consumption. However, accurate measurement requires a complete vein map to measure anatomical variance in the metabolic demands of tissue. In this work we present a novel shape-based Markov Random Field technique to segmentation the cerebral veins that provides accurate and complete vein maps. The shape-based graph underpinning the model controls the spatial relationships between voxels and enforces cylindrical geometry, allowing increased sensitivity with accurate vein boundaries.

Original languageEnglish
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781509011711, 9781509011728
ISBN (Print)9781509011735
Publication statusPublished - 15 Jun 2017
EventIEEE International Symposium on Biomedical Imaging (ISBI) 2017 - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 18 Apr 201721 Apr 2017
Conference number: 14th


ConferenceIEEE International Symposium on Biomedical Imaging (ISBI) 2017
Abbreviated titleISBI 2017
OtherISBI is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS). The 2017 meeting will include tutorials, and a scientific program composed of plenary talks, invited special sessions, challenges, as well as oral and poster presentations of peer-reviewed papers.
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  • Oxygen extraction fraction
  • Quantitative susceptibility mapping
  • Vein segmentation

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