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Wayne State University Associated BioMed Central Scholarship

Series

2012

Diffusion tensor imaging

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

In Ovo Serial Skeletal Muscle Diffusion Tractography Of The Developing Chick Embryo Using Dti: Feasibility And Correlation With Histology, Zien Zhou, Zachary Delproposto, Lianming Wu, Jianrong Xu, Jia Hua, Yan Zhou, Yongquan Ye, Zishu Zhang, Jiani Hu, E Mark Haacke Jan 2012

In Ovo Serial Skeletal Muscle Diffusion Tractography Of The Developing Chick Embryo Using Dti: Feasibility And Correlation With Histology, Zien Zhou, Zachary Delproposto, Lianming Wu, Jianrong Xu, Jia Hua, Yan Zhou, Yongquan Ye, Zishu Zhang, Jiani Hu, E Mark Haacke

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Magnetic resonance imaging is a noninvasive method of evaluating embryonic development. Diffusion tensor imaging (DTI), based on the directional diffusivity of water molecules, is an established method of evaluating tissue structure. Yet embryonic motion degrades the in vivo acquisition of long-duration DTI. We used a dual-cooling technique to avoid motion artifact and aimed to investigate whether DTI can be used to monitor chick embryonic skeletal muscle development in ovo, and to investigate the correlation between quantitative DTI parameters fractional anisotropy (FA) and fiber length and quantitative histologic parameters fiber area percentage (FiberArea%) and limb length.

Results

From 84 …


Segmentation Of Corpus Callosum Using Diffusion Tensor Imaging: Validation In Patients With Glioblastoma, Mohammad-Reza Nazem-Zadeh, Sona Saksena, Abbas Babajani-Fermi, Quan Jiang, Hamid Soltanian-Zadeh, Mark Rosenblum, Tom Mikkelsen, Rajan Jain Jan 2012

Segmentation Of Corpus Callosum Using Diffusion Tensor Imaging: Validation In Patients With Glioblastoma, Mohammad-Reza Nazem-Zadeh, Sona Saksena, Abbas Babajani-Fermi, Quan Jiang, Hamid Soltanian-Zadeh, Mark Rosenblum, Tom Mikkelsen, Rajan Jain

Wayne State University Associated BioMed Central Scholarship

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 …