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Neuroimage. 2015 Mar;108:111-22. doi: 10.1016/j.neuroimage.2014.12.043. Epub 2014 Dec 20.

A method for estimating and removing streaking artifacts in quantitative susceptibility mapping.

Author information

1
Brain Imaging and Analysis Center, Duke University, Durham NC 27705, USA; Research Imaging Institute, University of Texas Health Science Center at San Antonio, TX 78229, USA; Department of Ophthalmology, University of Texas Health Science Center at San Antonio, TX 78229, USA. Electronic address: liw5@uthscsa.edu.
2
Brain Imaging and Analysis Center, Duke University, Durham NC 27705, USA.
3
Department of Radiology, University of Texas Health Science Center at San Antonio, TX 78229, USA.
4
Brain Imaging and Analysis Center, Duke University, Durham NC 27705, USA; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
5
Department of Neurology, University of Texas Health Science Center at San Antonio, TX 78229, USA.
6
Research Imaging Institute, University of Texas Health Science Center at San Antonio, TX 78229, USA.
7
Brain Imaging and Analysis Center, Duke University, Durham NC 27705, USA; Department of Radiology, School of Medicine, Duke University, Durham NC 27705, USA. Electronic address: Chunlei.liu@duke.edu.

Abstract

Quantitative susceptibility mapping (QSM) is a novel MRI method for quantifying tissue magnetic property. In the brain, it reflects the molecular composition and microstructure of the local tissue. However, susceptibility maps reconstructed from single-orientation data still suffer from streaking artifacts which obscure structural details and small lesions. We propose and have developed a general method for estimating streaking artifacts and subtracting them from susceptibility maps. Specifically, this method uses a sparse linear equation and least-squares (LSQR)-algorithm-based method to derive an initial estimation of magnetic susceptibility, a fast quantitative susceptibility mapping method to estimate the susceptibility boundaries, and an iterative approach to estimate the susceptibility artifact from ill-conditioned k-space regions only. With a fixed set of parameters for the initial susceptibility estimation and subsequent streaking artifact estimation and removal, the method provides an unbiased estimate of tissue susceptibility with negligible streaking artifacts, as compared to multi-orientation QSM reconstruction. This method allows for improved delineation of white matter lesions in patients with multiple sclerosis and small structures of the human brain with excellent anatomical details. The proposed methodology can be extended to other existing QSM algorithms.

KEYWORDS:

High resolution brain imaging; Multiple sclerosis; Quantitative susceptibility mapping; Streaking artifact removal

PMID:
25536496
PMCID:
PMC4406048
DOI:
10.1016/j.neuroimage.2014.12.043
[Indexed for MEDLINE]
Free PMC Article
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