Model-based estimation of 4D relative pressure map from 4D flow MR images

Viorel Mihalef; Saikiran Rapaka; Mehmet Gulsun; Angelo Scorza; Puneet Sharma; Lucian Itu; Ali Kamen; Alex Barker; Michael Markl; Dorin Comaniciu

doi:10.1007/978-3-642-54268-8_28

Model-based estimation of 4D relative pressure map from 4D flow MR images

Viorel Mihalef, Saikiran Rapaka, Mehmet Gulsun, Angelo Scorza, Puneet Sharma, Lucian Itu, Ali Kamen, Alex Barker, Michael Markl, Dorin Comaniciu

Radiology

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

4 Scopus citations

Abstract

We propose a new framework for 4D relative pressure map computations from 4D flow MRI that uses enhanced geometric models for the blood vessels and flow-aware surface and volumetric tags. The enhanced geometric modeling provides better accuracy compared to a simple voxelized mask, while tagging of inlets and outlets allows imposing physiologically meaningful boundary conditions, contributing to more accurate pressure computations. An integrated software suite for semi-automatic processing of 4D flow MR images, preparation and computation of the flow parameters is presented. This enables a fast and intuitive workflow, with accurate final results, ready in minutes.

Original language	English (US)
Title of host publication	Statistical Atlases and Computational Models of the Heart
Subtitle of host publication	Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers
Publisher	Springer Verlag
Pages	236-243
Number of pages	8
Volume	8330 LNCS
ISBN (Print)	9783642542671
DOIs	https://doi.org/10.1007/978-3-642-54268-8_28
State	Published - Jan 1 2014
Event	4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013 - Nagoya, Japan Duration: Sep 26 2013 → Sep 26 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8330 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	9/26/13 → 9/26/13

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-54268-8_28

Cite this

Mihalef, V., Rapaka, S., Gulsun, M., Scorza, A., Sharma, P., Itu, L., Kamen, A., Barker, A., Markl, M., & Comaniciu, D. (2014). Model-based estimation of 4D relative pressure map from 4D flow MR images. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers (Vol. 8330 LNCS, pp. 236-243). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8330 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-54268-8_28

Mihalef, Viorel ; Rapaka, Saikiran ; Gulsun, Mehmet et al. / Model-based estimation of 4D relative pressure map from 4D flow MR images. Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. Vol. 8330 LNCS Springer Verlag, 2014. pp. 236-243 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "We propose a new framework for 4D relative pressure map computations from 4D flow MRI that uses enhanced geometric models for the blood vessels and flow-aware surface and volumetric tags. The enhanced geometric modeling provides better accuracy compared to a simple voxelized mask, while tagging of inlets and outlets allows imposing physiologically meaningful boundary conditions, contributing to more accurate pressure computations. An integrated software suite for semi-automatic processing of 4D flow MR images, preparation and computation of the flow parameters is presented. This enables a fast and intuitive workflow, with accurate final results, ready in minutes.",

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Mihalef, V, Rapaka, S, Gulsun, M, Scorza, A, Sharma, P, Itu, L, Kamen, A, Barker, A, Markl, M & Comaniciu, D 2014, Model-based estimation of 4D relative pressure map from 4D flow MR images. in Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. vol. 8330 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8330 LNCS, Springer Verlag, pp. 236-243, 4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, 9/26/13. https://doi.org/10.1007/978-3-642-54268-8_28

Model-based estimation of 4D relative pressure map from 4D flow MR images. / Mihalef, Viorel; Rapaka, Saikiran; Gulsun, Mehmet et al.
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. Vol. 8330 LNCS Springer Verlag, 2014. p. 236-243 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8330 LNCS).

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

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AU - Mihalef, Viorel

AU - Rapaka, Saikiran

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AU - Sharma, Puneet

AU - Itu, Lucian

AU - Kamen, Ali

AU - Barker, Alex

AU - Markl, Michael

AU - Comaniciu, Dorin

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AB - We propose a new framework for 4D relative pressure map computations from 4D flow MRI that uses enhanced geometric models for the blood vessels and flow-aware surface and volumetric tags. The enhanced geometric modeling provides better accuracy compared to a simple voxelized mask, while tagging of inlets and outlets allows imposing physiologically meaningful boundary conditions, contributing to more accurate pressure computations. An integrated software suite for semi-automatic processing of 4D flow MR images, preparation and computation of the flow parameters is presented. This enables a fast and intuitive workflow, with accurate final results, ready in minutes.

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ER -

Mihalef V, Rapaka S, Gulsun M, Scorza A, Sharma P, Itu L et al. Model-based estimation of 4D relative pressure map from 4D flow MR images. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. Vol. 8330 LNCS. Springer Verlag. 2014. p. 236-243. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-54268-8_28

Model-based estimation of 4D relative pressure map from 4D flow MR images

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