Probabilistic Air Segmentation and Sparse Regression Estimated Pseudo CT for PET/MR Attenuation Correction | Zendy

Yasheng Chen | Zendy; Meher R. Juttukonda | Zendy; Yi Su | Zendy; Tammie L.S. Benzinger | Zendy; Brian G. Rubin | Zendy; Yueh Z. Lee | Zendy; Weili Lin | Zendy; Dinggang Shen | Zendy; David S. Lalush | Zendy; Hongyu An | Zendy

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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 - 2014

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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