Structurally Constrained Quantitative Susceptibility Mapping

Sara Gharabaghi; Saifeng Liu; Ying Wang; Yongsheng Chen; Thomas Wischgoll; Nasser H. Kashou; E. Mark Haacke

Structurally Constrained Quantitative Susceptibility Mapping

Sara Gharabaghi, Saifeng Liu, Ying Wang, Yongsheng Chen, Thomas Wischgoll, Nasser H. Kashou, E. Mark Haacke

Wright State University

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, a structurally constrained susceptibility reconstruction method, SCSWIM, is proposed. This method employs the unique contrast of STAGE imaging and segmented basal ganglia and vessels. It is tested on both simulated and in vivo human brain data. Evaluations show the improved reliability of the geometry information, reduced streaking artifacts, and increased accuracy of the susceptibilities of both basal ganglia and veins in the SCSWIM compared to other methods.

Original language	American English
Journal	Default journal
State	Published - May 1 2019

Disciplines

Computer Sciences
Engineering

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https://archive.ismrm.org/2019/4928.html

Cite this

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title = "Structurally Constrained Quantitative Susceptibility Mapping",

abstract = " In this study, a structurally constrained susceptibility reconstruction method, SCSWIM, is proposed. This method employs the unique contrast of STAGE imaging and segmented basal ganglia and vessels. It is tested on both simulated and in vivo human brain data. Evaluations show the improved reliability of the geometry information, reduced streaking artifacts, and increased accuracy of the susceptibilities of both basal ganglia and veins in the SCSWIM compared to other methods.",

author = "Sara Gharabaghi and Saifeng Liu and Ying Wang and Yongsheng Chen and Thomas Wischgoll and Kashou, {Nasser H.} and Haacke, {E. Mark}",

year = "2019",

month = may,

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language = "American English",

journal = "Default journal",

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TY - JOUR

T1 - Structurally Constrained Quantitative Susceptibility Mapping

AU - Gharabaghi, Sara

AU - Liu, Saifeng

AU - Wang, Ying

AU - Chen, Yongsheng

AU - Wischgoll, Thomas

AU - Kashou, Nasser H.

AU - Haacke, E. Mark

PY - 2019/5/1

Y1 - 2019/5/1

N2 - In this study, a structurally constrained susceptibility reconstruction method, SCSWIM, is proposed. This method employs the unique contrast of STAGE imaging and segmented basal ganglia and vessels. It is tested on both simulated and in vivo human brain data. Evaluations show the improved reliability of the geometry information, reduced streaking artifacts, and increased accuracy of the susceptibilities of both basal ganglia and veins in the SCSWIM compared to other methods.

AB - In this study, a structurally constrained susceptibility reconstruction method, SCSWIM, is proposed. This method employs the unique contrast of STAGE imaging and segmented basal ganglia and vessels. It is tested on both simulated and in vivo human brain data. Evaluations show the improved reliability of the geometry information, reduced streaking artifacts, and increased accuracy of the susceptibilities of both basal ganglia and veins in the SCSWIM compared to other methods.

UR - https://corescholar.libraries.wright.edu/cse/593

UR - https://archive.ismrm.org/2019/4928.html

M3 - Article

JO - Default journal

JF - Default journal

ER -

Structurally Constrained Quantitative Susceptibility Mapping

Abstract

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