Abstract #3322
Structural feature based collaborative reconstruction for quantitative susceptibility mapping
Lijun Bao 1,2 , Zhong Chen 1 , Peter C.M. van Zijl 2 , and Xu Li 2
1
Department of Electronic Science, Xiamen
University, Xiamen, Fujian, China,
2
Department
of Radiology,School of medicine, Johns Hopkins
University, Baltimore, MD, United States
Quantitative susceptibility mapping enables non-invasive
mapping and quantitative analysis of tissue
susceptibility. Interest in this methodology is
increasing, because it has the potential to facilitate
diagnosis of cerebrovascular and nervous system
diseases. However, the reconstruction of magnetic
susceptibility constants from local phase information is
an ill-posed inverse problem. Therefore, the development
of methods to reconstruct accurate susceptibility
distributions is important. We present a structural
feature based collaborative reconstruction method for
quantitative susceptibility mapping. Experimental
results on human brain show that this method can provide
high quality images of quantitative susceptibility and
improve the reconstruction accuracy.
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