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©2014 Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Nov 28, 2014; 6(11): 855-864
Published online Nov 28, 2014. doi: 10.4329/wjr.v6.i11.855
Published online Nov 28, 2014. doi: 10.4329/wjr.v6.i11.855
Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review
Jussi Tohka, Department of Signal Processing, Tampere University of Technology, FIN-33101 Tampere, Finland
Author contributions: Tohka J designed and wrote the article.
Correspondence to: Jussi Tohka, PhD, Department of Signal Processing, Tampere University of Technology, PO Box 553, FIN-33101 Tampere, Finland. jussi.tohka@tut.fi
Telephone: +358-40-1981497 Fax: +358-3-3641352
Received: June 23, 2014
Revised: September 3, 2014
Accepted: September 23, 2014
Published online: November 28, 2014
Revised: September 3, 2014
Accepted: September 23, 2014
Published online: November 28, 2014
Core Tip
Core tip: Each voxel in a brain magnetic resonance imaging (MRI) may contain multiple types of tissue. Partial volume estimation refers to a generalized image segmentation task where the amount of each tissue type within each image voxel of brain MRI is solved. This is important for volume quantification and cortical thickness analysis due to the geometrical complexity of human brain structure. This review aims to provide a systematic, tutorial-like overview of methods for partial volume estimation in brain MRI.