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Abstract #1159

Quantitative comparison of MP2RAGE skull-stripping strategies

Pavel Falkovskiy1,2,3, Bénédicte Maréchal1,2,3, Shuang Yan4, Zhengyu Jin4, Tianyi Qian5, Kieran O'Brien6,7, Reto Meuli2, Jean-Philippe Thiran2,3, Gunnar Krueger2,3,8, Tobias Kober1,2,3, and Alexis Roche1,2,3

1Advanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, People's Republic of, 5MR Collaborations NE Asia, Siemens Helathcare, Beijing, China, People's Republic of, 6Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, 7Siemens Healthcare Pty Ltd., Brisbane, Australia, 8Siemens Medical Solutions USA, Boston, MA, United States

The MP2RAGE pulse sequence exhibits higher grey-matter/white-matter contrast compared to standard MPRAGE acquisitions and provides images with greatly reduced B1 bias. In theory, these qualities of MP2RAGE should lead to more accurate morphometric results. However, a major hindrance to MP2RAGE morphometric processing is the salt-and-pepper noise in the background and cavities. This poses a major problem for the skull-stripping stage of most automated morphometry algorithms. We investigated three skull-stripping strategies using the MorphoBox prototype and FreeSurfer automated-morphometry software packages and compared them to results obtained using the gold-standard MPRAGE contrast.

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