Segmentation of corpus callosum using diffusion tensor imaging

Validation in patients with glioblastoma

Mohammad Reza Nazem-Zadeh, Sona Saksena, Abbas Babajani-Feremi, Quan Jiang, Hamid Soltanian-Zadeh, Mark Rosenblum, Tom Mikkelsen, Rajan Jain

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Background: This paper presents a three-dimensional (3D) method for segmenting corpus callosum in normal subjects and brain cancer patients with glioblastoma.Methods: Nineteen patients with histologically confirmed treatment naïve glioblastoma and eleven normal control subjects underwent DTI on a 3T scanner. Based on the information inherent in diffusion tensors, a similarity measure was proposed and used in the proposed algorithm. In this algorithm, diffusion pattern of corpus callosum was used as prior information. Subsequently, corpus callosum was automatically divided into Witelson subdivisions. We simulated the potential rotation of corpus callosum under tumor pressure and studied the reproducibility of the proposed segmentation method in such cases.Results: Dice coefficients, estimated to compare automatic and manual segmentation results for Witelson subdivisions, ranged from 94% to 98% for control subjects and from 81% to 95% for tumor patients, illustrating closeness of automatic and manual segmentations. Studying the effect of corpus callosum rotation by different Euler angles showed that although segmentation results were more sensitive to azimuth and elevation than skew, rotations caused by brain tumors do not have major effects on the segmentation results.Conclusions: The proposed method and similarity measure segment corpus callosum by propagating a hyper-surface inside the structure (resulting in high sensitivity), without penetrating into neighboring fiber bundles (resulting in high specificity).

Original languageEnglish (US)
Article number10
JournalBMC Medical Imaging
Volume12
DOIs
StatePublished - May 16 2012

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Diffusion Tensor Imaging
Corpus Callosum
Glioblastoma
Brain Neoplasms
Neoplasms
Pressure

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

Segmentation of corpus callosum using diffusion tensor imaging : Validation in patients with glioblastoma. / Nazem-Zadeh, Mohammad Reza; Saksena, Sona; Babajani-Feremi, Abbas; Jiang, Quan; Soltanian-Zadeh, Hamid; Rosenblum, Mark; Mikkelsen, Tom; Jain, Rajan.

In: BMC Medical Imaging, Vol. 12, 10, 16.05.2012.

Research output: Contribution to journalArticle

Nazem-Zadeh, Mohammad Reza ; Saksena, Sona ; Babajani-Feremi, Abbas ; Jiang, Quan ; Soltanian-Zadeh, Hamid ; Rosenblum, Mark ; Mikkelsen, Tom ; Jain, Rajan. / Segmentation of corpus callosum using diffusion tensor imaging : Validation in patients with glioblastoma. In: BMC Medical Imaging. 2012 ; Vol. 12.
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