Probabilistic 4D blood flow mapping.

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

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: Contribution to journal › Article › peer-review

17 Scopus citations

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)
Pages (from-to)	416-423
Number of pages	8
Journal	Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Volume	13
Issue number	Pt 3
State	Published - Nov 18 2010

ASJC Scopus subject areas

Medicine(all)

Cite this

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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}",

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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 - 2010/11/18

Y1 - 2010/11/18

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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M3 - Article

C2 - 20879427

AN - SCOPUS:84870860183

VL - 13

SP - 416

EP - 423

JO - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

JF - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

IS - Pt 3

ER -

Probabilistic 4D blood flow mapping.

Abstract

ASJC Scopus subject areas

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