3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms

Elizabeth Bullitt; Stephen Aylward; Alan Liu; Jeffrey Stone; Suresh K. Mukherji; Chris Coffey; Guido Gerig; Stephen M. Pizer

doi:10.1007/3-540-48714-x_23

3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms

Elizabeth Bullitt, Stephen Aylward, Alan Liu, Jeffrey Stone, Suresh K. Mukherji, Chris Coffey, Guido Gerig, Stephen M. Pizer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes largely automated methods of creating connected, 3D vascular trees from individual vessels segmented from magnetic resonance angiograms. Vessel segmentation is initiated by usersupplied seed points, with automatic calculation of vessel skeletons as image intensity ridges and automatic estimation of vessel widths via medialness calculations. The tree-creation process employs a variant of the minimum spanning tree algorithm and evaluates image intensities at each proposed connection point. We evaluate the accuracy of nodal connections by registering a 3D vascular tree with 4 digital subtraction angiograms (DSAs) obtained from the same patient, and by asking two neuroradiologists to evaluate each nodal connection on each DSA view. No connection was judged incorrect. The approach permits new, clinically useful visualizations of the intracerebral vasculature.

Original language	English (US)
Title of host publication	Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings
Editors	Attila Kuba, Martin Samal, Andrew Todd-Pokropek
Publisher	Springer Verlag
Pages	308-321
Number of pages	14
ISBN (Print)	3540661670, 9783540661672
DOIs	https://doi.org/10.1007/3-540-48714-x_23
State	Published - 1999
Event	16th International conference on Information Processing in Medical Imaging, IPMI 1999 - Visegrad, Hungary Duration: Jun 28 1999 → Jul 2 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1613
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	16th International conference on Information Processing in Medical Imaging, IPMI 1999
Country/Territory	Hungary
City	Visegrad
Period	6/28/99 → 7/2/99

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-48714-x_23

Cite this

Bullitt, E., Aylward, S., Liu, A., Stone, J., Mukherji, S. K., Coffey, C., Gerig, G., & Pizer, S. M. (1999). 3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms. In A. Kuba, M. Samal, & A. Todd-Pokropek (Eds.), Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings (pp. 308-321). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1613). Springer Verlag. https://doi.org/10.1007/3-540-48714-x_23

3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms. / Bullitt, Elizabeth; Aylward, Stephen; Liu, Alan et al.
Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. ed. / Attila Kuba; Martin Samal; Andrew Todd-Pokropek. Springer Verlag, 1999. p. 308-321 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1613).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bullitt, E, Aylward, S, Liu, A, Stone, J, Mukherji, SK, Coffey, C, Gerig, G & Pizer, SM 1999, 3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms. in A Kuba, M Samal & A Todd-Pokropek (eds), Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1613, Springer Verlag, pp. 308-321, 16th International conference on Information Processing in Medical Imaging, IPMI 1999, Visegrad, Hungary, 6/28/99. https://doi.org/10.1007/3-540-48714-x_23

Bullitt E, Aylward S, Liu A, Stone J, Mukherji SK, Coffey C et al. 3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms. In Kuba A, Samal M, Todd-Pokropek A, editors, Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. Springer Verlag. 1999. p. 308-321. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-48714-x_23

Bullitt, Elizabeth ; Aylward, Stephen ; Liu, Alan et al. / 3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms. Information Processing in Medical Imaging - 16th InternationalConference, IPMI 1999, Proceedings. editor / Attila Kuba ; Martin Samal ; Andrew Todd-Pokropek. Springer Verlag, 1999. pp. 308-321 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper describes largely automated methods of creating connected, 3D vascular trees from individual vessels segmented from magnetic resonance angiograms. Vessel segmentation is initiated by usersupplied seed points, with automatic calculation of vessel skeletons as image intensity ridges and automatic estimation of vessel widths via medialness calculations. The tree-creation process employs a variant of the minimum spanning tree algorithm and evaluates image intensities at each proposed connection point. We evaluate the accuracy of nodal connections by registering a 3D vascular tree with 4 digital subtraction angiograms (DSAs) obtained from the same patient, and by asking two neuroradiologists to evaluate each nodal connection on each DSA view. No connection was judged incorrect. The approach permits new, clinically useful visualizations of the intracerebral vasculature.",

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3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with x-ray angiograms

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