A knowledge-guided active model method of cortical structural segmentation on pediatric MR images

Zack Y Shan; Carlos Parra; Qing Ji; Jinesh MS Jain; Wilburn Eugene Reddick

doi:10.1002/jmri.20688

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A knowledge-guided active model method of cortical structural segmentation on pediatric MR images

Journal article

Peer reviewed

A knowledge-guided active model method of cortical structural segmentation on pediatric MR images

Zack Y Shan, Carlos Parra, Qing Ji, Jinesh MS Jain and Wilburn Eugene Reddick

Journal of Magnetic Resonance Imaging, Vol.24(4), pp.779-789

2006

DOI: https://doi.org/10.1002/jmri.20688

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Abstract

automated structure segmentation

magnetic resonance imaging (MRI)

lobes active mesh

cortical structures

pediatric brain

Purpose: To develop an automated method for quantification of cortical structures on pediatric MR images. Materials and Methods: A knowledge-guided active model (KAM) approach was proposed with a novel object function similar to the Gibbs free energy function. Triangular mesh models were transformed to images of a given subject by maximizing entropy, and then actively slithered to boundaries of structures by minimizing enthalpy. Volumetric results and image similarities of 10 different cortical structures segmented by KAM were compared with those traced manually. Furthermore, the segmentation performances of KAM and SPM2, (statistical parametric mapping, a MATLAB software package) were compared. Results: The averaged volumetric agreements between KAM- and manually-defined structures (both 0.95 for structures in healthy children and children with medulloblastoma) were higher than the volumetric agreement for SPM2 (0.90 and 0.80, respectively). The similarity measurements (kappa) between KAM- and manually-defined structures (0.95 and 0.93, respectively) were higher than those for SPM2 (both 0.86). Conclusion: We have developed a novel automatic algorithm, KAM, for segmentation of cortical structures on MR images of pediatric patients. Our preliminary results indicated that when segmenting cortical structures, KAM was in better agreement with manually-delineated structures than SPM2. KAM can potentially be used to segment cortical structures for conformal radiation therapy planning and for quantitative evaluation of changes in disease or abnormality.

Details

Title: A knowledge-guided active model method of cortical structural segmentation on pediatric MR images
Authors: Zack Y Shan (Author) - St. Jude Children's Research Hospital
Carlos Parra (Author) - University of Memphis
Qing Ji (Author) - St. Jude Children's Research Hospital
Jinesh MS Jain (Author) - St. Jude Children's Research Hospital
Wilburn Eugene Reddick (Author) - St. Jude Children's Research Hospital
Publication details: Journal of Magnetic Resonance Imaging, Vol.24(4), pp.779-789
Publisher: John Wiley & Sons, Inc.
Date published: 2006
DOI: 10.1002/jmri.20688
ISSN: 1053-1807; 1522-2586; 1053-1807
Organisation Unit: University of the Sunshine Coast, Queensland; Thompson Institute
Language: English
Record Identifier: 99513898602621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Radiology, Nuclear Medicine & Medical Imaging

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