Probabilistic 4D blood flow mapping

Ola Friman; Anja Hennemuth; Andreas Harloff; Jelena Bock; Michael Markl; Heinz Otto Peitgen

doi:10.1007/978-3-642-15711-0_52

Probabilistic 4D blood flow mapping

Ola Friman^*, Anja Hennemuth, Andreas Harloff, Jelena Bock, Michael Markl, Heinz Otto Peitgen

^*Corresponding author for this work

Radiology

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

Abstract

Blood flow and tissue velocity can be measured using phase-contrast MRI. In this work, the statistical properties of 4D phase-contrast images are derived, and a novel probabilistic blood flow mapping method based on sequential Monte Carlo sampling is presented. The resulting flow maps visualize and quantify the uncertainty in conventional flow visualization techniques such as streamlines and particle traces.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings
Pages	416-423
Number of pages	8
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-15711-0_52
State	Published - Nov 22 2010
Event	13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010 - Beijing, China Duration: Sep 20 2010 → Sep 24 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	6363 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Country/Territory	China
City	Beijing
Period	9/20/10 → 9/24/10

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-15711-0_52

Cite this

Friman, O., Hennemuth, A., Harloff, A., Bock, J., Markl, M., & Peitgen, H. O. (2010). Probabilistic 4D blood flow mapping. In Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings (PART 3 ed., pp. 416-423). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6363 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-15711-0_52

Friman, Ola ; Hennemuth, Anja ; Harloff, Andreas et al. / Probabilistic 4D blood flow mapping. Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 3. ed. 2010. pp. 416-423 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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title = "Probabilistic 4D blood flow mapping",

abstract = "Blood flow and tissue velocity can be measured using phase-contrast MRI. In this work, the statistical properties of 4D phase-contrast images are derived, and a novel probabilistic blood flow mapping method based on sequential Monte Carlo sampling is presented. The resulting flow maps visualize and quantify the uncertainty in conventional flow visualization techniques such as streamlines and particle traces.",

author = "Ola Friman and Anja Hennemuth and Andreas Harloff and Jelena Bock and Michael Markl and Peitgen, {Heinz Otto}",

year = "2010",

month = nov,

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doi = "10.1007/978-3-642-15711-0_52",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings",

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Friman, O, Hennemuth, A, Harloff, A, Bock, J, Markl, M & Peitgen, HO 2010, Probabilistic 4D blood flow mapping. in Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6363 LNCS, pp. 416-423, 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, 9/20/10. https://doi.org/10.1007/978-3-642-15711-0_52

Probabilistic 4D blood flow mapping. / Friman, Ola; Hennemuth, Anja; Harloff, Andreas et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 3. ed. 2010. p. 416-423 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6363 LNCS, No. PART 3).

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

TY - GEN

T1 - Probabilistic 4D blood flow mapping

AU - Friman, Ola

AU - Hennemuth, Anja

AU - Harloff, Andreas

AU - Bock, Jelena

AU - Markl, Michael

AU - Peitgen, Heinz Otto

PY - 2010/11/22

Y1 - 2010/11/22

N2 - Blood flow and tissue velocity can be measured using phase-contrast MRI. In this work, the statistical properties of 4D phase-contrast images are derived, and a novel probabilistic blood flow mapping method based on sequential Monte Carlo sampling is presented. The resulting flow maps visualize and quantify the uncertainty in conventional flow visualization techniques such as streamlines and particle traces.

AB - Blood flow and tissue velocity can be measured using phase-contrast MRI. In this work, the statistical properties of 4D phase-contrast images are derived, and a novel probabilistic blood flow mapping method based on sequential Monte Carlo sampling is presented. The resulting flow maps visualize and quantify the uncertainty in conventional flow visualization techniques such as streamlines and particle traces.

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DO - 10.1007/978-3-642-15711-0_52

M3 - Conference contribution

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SN - 9783642157103

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Y2 - 20 September 2010 through 24 September 2010

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Friman O, Hennemuth A, Harloff A, Bock J, Markl M, Peitgen HO. Probabilistic 4D blood flow mapping. In Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 3 ed. 2010. p. 416-423. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-15711-0_52

Probabilistic 4D blood flow mapping

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