What question did this study set out to answer?

To evaluate the performance of quantitative anisotropy (QA) in resolving partial volume effects and improving deterministic fiber tracking compared with fractional anisotropy, generalized fractional anisotropy, and anatomical data.

November 15, 2013SHILAP Revista de lepidopterologíaOpen Access

Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy

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Authors

FYFang‐Cheng YehUniversity of Pittsburgh TVTimothy VerstynenCenter for the Neural Basis of Cognition YWYibao WangFirst Hospital of China Medical University

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Implication

Comparative imaging study demonstrates reduced false tracks with quantitative anisotropy in human brain tractography, suggesting improved precision for structural connectomics.

Key Points

To evaluate the performance of quantitative anisotropy (QA) in resolving partial volume effects and improving deterministic fiber tracking compared with fractional anisotropy, generalized fractional anisotropy, and anatomical data.
Conducted two phantom studies evaluating susceptibility to crossing fiber and free water partial volume effects as well as spatial resolution across FA-, GFA-, and QA-aided tractographies.
Performed an in vivo study reconstructing the arcuate fasciculus using high angular resolution diffusion imaging (HARDI shell scheme) and diffusion spectrum imaging (DSI grid scheme).
Tasked two neurosurgeons blinded to acquisition and analysis parameters with identifying false tracks across FA, GFA, QA, and T1-weighted anatomical benchmarks.
Phantom studies showed QA is less sensitive to crossing fibers and free water partial volume effects and delivers superior spatial resolution relative to FA and GFA.
In the HARDI shell scheme, QA-aided tracking generated 16.2% false tracks compared to 30.7% for FA, 32.6% for GFA, and 24.45% for anatomy-aided tractography.
In the DSI grid scheme, QA-aided tracking produced 4.43% false tracks compared to 12.3% for FA, 9.0% for GFA, and 10.93% for anatomy-aided tractography.

Cite This Study

Yeh et al. (2013) studied this question.

synapsesocial.com/papers/69d84d445c3030ff03d19c87 https://doi.org/10.1371/journal.pone.0080713

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Implication

Comparative imaging study demonstrates reduced false tracks with quantitative anisotropy in human brain tractography, suggesting improved precision for structural connectomics.

Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy

Discussion

Member takes

Implication

Key Points

Cite This Study

Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy

Discussion

Member takes

Implication

Key Points

Cite This Study

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