A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template

Amir M Tahmasebi; Purang Abolmaesumi; Xiujuan Geng; Patricia Morosan; Katrin Amunts; Gary E Christensen; Ingrid S Johnsrude

doi:10.1007/978-3-642-04271-3_96

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A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template

Book chapter

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A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template

Amir M Tahmasebi, Purang Abolmaesumi, Xiujuan Geng, Patricia Morosan, Katrin Amunts, Gary E Christensen and Ingrid S Johnsrude

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, pp.795-802

Lecture Notes in Computer Science, Springer Berlin Heidelberg

2009

DOI: 10.1007/978-3-642-04271-3_96

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Abstract

We present a novel technique for creating template-free probabilistic maps of the cytoarchitectonic areas using a groupwise registration. We use the technique to transform 10 human post-mortem structural MR data sets, together with their corresponding cytoarchitectonic information, to a common space. We have targeted the cytoarchitectonically defined subregions of the primary auditory cortex. Thanks to the template-free groupwise registration, the created maps are not macroanatomically biased towards a specific geometry/topology. The advantage of the groupwise versus pairwise registration in avoiding such anatomical bias is better revealed in studies with small number of subjects and a high degree of variability among the individuals such as the post-mortem data. A leave-one-out cross-validation method was used to compare the sensitivity, specificity and positive predictive value of the proposed and published maps. We observe a significant improvement in localization of cytoarchitectonically defined subregions in primary auditory cortex using the proposed maps. The proposed maps can be tailored to any subject space by registering the subject image to the average of the groupwise-registered post-mortem images.

Common Space

Cytoarchitectonic Area

Deformable Registration

Positive Predictive Value

Primary Auditory Cortex

Details

Title: Subtitle: A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template
Creators: Amir M Tahmasebi - Queen's University
Purang Abolmaesumi - Queen's University
Xiujuan Geng - National Institute on Drug Abuse
Patricia Morosan - Institute of Medicine, Research Center Juelich, Juelich, Germany#TAB#
Katrin Amunts - Imaging Center
Gary E Christensen - University of Iowa
Ingrid S Johnsrude - Queen's University
Resource Type: Book chapter
Publication Details: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, pp.795-802
Series: Lecture Notes in Computer Science
DOI: 10.1007/978-3-642-04271-3_96
eISSN: 1611-3349
ISSN: 0302-9743
Publisher: Springer Berlin Heidelberg; Berlin, Heidelberg
Language: English
Date published: 2009
Academic Unit: Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
Record Identifier: 9984197164702771

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