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Probabilistic Air Segmentation and Sparse Regression Estimated Pseudo CT for PET/MR Attenuation Correction
Author(s) -
Yasheng Chen,
Meher R. Juttukonda,
Yi Su,
Tammie L.S. Benzinger,
Brian G. Rubin,
Yueh Z. Lee,
Weili Lin,
Dinggang Shen,
David S. Lalush,
Hongyu An
Publication year - 2015
Publication title -
radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.118
H-Index - 295
eISSN - 1527-1315
pISSN - 0033-8419
DOI - 10.1148/radiol.14140810
Subject(s) - correction for attenuation , nuclear medicine , medicine , standard deviation , segmentation , magnetic resonance imaging , positron emission tomography , linear regression , artificial intelligence , statistics , mathematics , radiology , computer science
To develop a positron emission tomography (PET) attenuation correction method for brain PET/magnetic resonance (MR) imaging by estimating pseudo computed tomographic (CT) images from T1-weighted MR and atlas CT images.

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