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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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