Segmenting magnetic resonance images via hierarchical mixture modelling.
作者信息
Priebe Carey E, Miller Michael I, Ratnanather J Tilak
机构信息
Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21218, USA.
出版信息
Comput Stat Data Anal. 2006 Jan;50(2):551-567. doi: 10.1016/j.csda.2004.09.003.
Abstract
We present a statistically innovative as well as scientifically and practically relevant method for automatically segmenting magnetic resonance images using hierarchical mixture models. Our method is a general tool for automated cortical analysis which promises to contribute substantially to the science of neuropsychiatry. We demonstrate that our method has advantages over competing approaches on a magnetic resonance brain imagery segmentation task.
摘要
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