Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction

Suheyla Cetin; Berkin Bilgic; Audrey Fan; Samantha Holdsworth; Gozde Unal

doi:10.1007/978-3-319-46726-9_54

Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction

Suheyla Cetin^*, Berkin Bilgic, Audrey Fan, Samantha Holdsworth, Gozde Unal

^*Corresponding author for this work

Department of Artificial Intelligence and Data Engineering

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

6 Citations (Scopus)

Abstract

QSM is used to estimate the underlying tissue magnetic susceptibility and oxygen saturation in veins. This paper presents vessel orientation as a new regularization term to improve the accuracy of l1 regularized QSM reconstruction in cerebral veins. For that purpose,the vessel tree is first extracted from an initial QSM reconstruction. In a second step,the vascular geometric prior is incorporated through an orthogonality constraint into the QSM reconstruction. Using a multi-orientation QSM acquisition as gold standard,we show that the QSM reconstruction obtained with the vessel anatomy prior provides up to 40% RMSE reduction relative to the baseline l₁ regularizer approach. We also demonstrate in vivo OEF maps along venous veins based on segmentations from QSM. The utility of the proposed method is further supported by inclusion of a separate MRI venography scan to introduce more detailed vessel orientation information into the reconstruction,which provides significant improvement in vessel conspicuity.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
Editors	Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Sebastian Ourselin
Publisher	Springer Verlag
Pages	467-474
Number of pages	8
ISBN (Print)	9783319467252
DOIs	https://doi.org/10.1007/978-3-319-46726-9_54
Publication status	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9902 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

Keywords

QSM
QSM reconstruction
Susceptibility MRI
Vessel orientation constraint

Access to Document

10.1007/978-3-319-46726-9_54

Cite this

Cetin, S., Bilgic, B., Fan, A., Holdsworth, S., & Unal, G. (2016). Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction. In L. Joskowicz, M. R. Sabuncu, W. Wells, G. Unal, & S. Ourselin (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings (pp. 467-474). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46726-9_54

Cetin, Suheyla ; Bilgic, Berkin ; Fan, Audrey et al. / Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. editor / Leo Joskowicz ; Mert R. Sabuncu ; William Wells ; Gozde Unal ; Sebastian Ourselin. Springer Verlag, 2016. pp. 467-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "QSM is used to estimate the underlying tissue magnetic susceptibility and oxygen saturation in veins. This paper presents vessel orientation as a new regularization term to improve the accuracy of l1 regularized QSM reconstruction in cerebral veins. For that purpose,the vessel tree is first extracted from an initial QSM reconstruction. In a second step,the vascular geometric prior is incorporated through an orthogonality constraint into the QSM reconstruction. Using a multi-orientation QSM acquisition as gold standard,we show that the QSM reconstruction obtained with the vessel anatomy prior provides up to 40% RMSE reduction relative to the baseline l1 regularizer approach. We also demonstrate in vivo OEF maps along venous veins based on segmentations from QSM. The utility of the proposed method is further supported by inclusion of a separate MRI venography scan to introduce more detailed vessel orientation information into the reconstruction,which provides significant improvement in vessel conspicuity.",

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author = "Suheyla Cetin and Berkin Bilgic and Audrey Fan and Samantha Holdsworth and Gozde Unal",

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doi = "10.1007/978-3-319-46726-9_54",

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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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Cetin, S, Bilgic, B, Fan, A, Holdsworth, S & Unal, G 2016, Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction. in L Joskowicz, MR Sabuncu, W Wells, G Unal & S Ourselin (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9902 LNCS, Springer Verlag, pp. 467-474. https://doi.org/10.1007/978-3-319-46726-9_54

Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction. / Cetin, Suheyla; Bilgic, Berkin; Fan, Audrey et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. ed. / Leo Joskowicz; Mert R. Sabuncu; William Wells; Gozde Unal; Sebastian Ourselin. Springer Verlag, 2016. p. 467-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS).

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

TY - GEN

T1 - Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction

AU - Cetin, Suheyla

AU - Bilgic, Berkin

AU - Fan, Audrey

AU - Holdsworth, Samantha

AU - Unal, Gozde

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - QSM is used to estimate the underlying tissue magnetic susceptibility and oxygen saturation in veins. This paper presents vessel orientation as a new regularization term to improve the accuracy of l1 regularized QSM reconstruction in cerebral veins. For that purpose,the vessel tree is first extracted from an initial QSM reconstruction. In a second step,the vascular geometric prior is incorporated through an orthogonality constraint into the QSM reconstruction. Using a multi-orientation QSM acquisition as gold standard,we show that the QSM reconstruction obtained with the vessel anatomy prior provides up to 40% RMSE reduction relative to the baseline l1 regularizer approach. We also demonstrate in vivo OEF maps along venous veins based on segmentations from QSM. The utility of the proposed method is further supported by inclusion of a separate MRI venography scan to introduce more detailed vessel orientation information into the reconstruction,which provides significant improvement in vessel conspicuity.

AB - QSM is used to estimate the underlying tissue magnetic susceptibility and oxygen saturation in veins. This paper presents vessel orientation as a new regularization term to improve the accuracy of l1 regularized QSM reconstruction in cerebral veins. For that purpose,the vessel tree is first extracted from an initial QSM reconstruction. In a second step,the vascular geometric prior is incorporated through an orthogonality constraint into the QSM reconstruction. Using a multi-orientation QSM acquisition as gold standard,we show that the QSM reconstruction obtained with the vessel anatomy prior provides up to 40% RMSE reduction relative to the baseline l1 regularizer approach. We also demonstrate in vivo OEF maps along venous veins based on segmentations from QSM. The utility of the proposed method is further supported by inclusion of a separate MRI venography scan to introduce more detailed vessel orientation information into the reconstruction,which provides significant improvement in vessel conspicuity.

KW - QSM

KW - QSM reconstruction

KW - Susceptibility MRI

KW - Vessel orientation constraint

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DO - 10.1007/978-3-319-46726-9_54

M3 - Conference contribution

AN - SCOPUS:84996484098

SN - 9783319467252

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

SP - 467

EP - 474

BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings

A2 - Joskowicz, Leo

A2 - Sabuncu, Mert R.

A2 - Wells, William

A2 - Unal, Gozde

A2 - Ourselin, Sebastian

PB - Springer Verlag

ER -

Cetin S, Bilgic B, Fan A, Holdsworth S, Unal G. Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction. In Joskowicz L, Sabuncu MR, Wells W, Unal G, Ourselin S, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag. 2016. p. 467-474. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46726-9_54

Vessel orientation constrained quantitative susceptibility mapping (QSM) reconstruction

Abstract

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Bibliographical note

Keywords

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