Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

The Publication Database hosted by SPL

All Publications | Upload | Advanced Search | Gallery View | Download Statistics | Help | Import | Log in

Entropy Based DTI Quality Control via Regional Orientation Distribution

Institution:
1Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA.
2Department of Computer Science, University of North Carolina at Chapel Hill, NC, USA.
3Southern Medical University, Guangzhou, China.
Publisher:
ISBI 2012
Publication Date:
May-2012
Journal:
Proc IEEE Int Symp Biomed Imaging.
Pages:
22-6
Citation:
Proc IEEE Int Symp Biomed Imaging. 2012 May; 22-6.
PubMed ID:
23595508
PMCID:
PMC3625986
Appears in Collections:
NA-MIC, SLICER
Sponsors:
U54 EB005149/EB/NIBIB NIH HHS/United States
R01 HD055741/HD/NICHD NIH HHS/United States
P30 HD003110/HD/NICHD NIH HHS/United States
P50 MH064065/MH/NIMH NIH HHS/United States
Generated Citation:
Farzinfar M., Dietrich C., Smith R., Li Y., Gupta A., Liu Z., Styner M. Entropy Based DTI Quality Control via Regional Orientation Distribution. Proc IEEE Int Symp Biomed Imaging. 2012 May; 22-6. PMID: 23595508. PMCID: PMC3625986.
Downloaded: 692 times. [view map]
Paper: Download, View online
Export citation:
Google Scholar: link

Diffusion Tensor Imaging (DTI) has received increasing attention in the neuroimaging community. However, the complex Diffusion Weighted Images (DWI) acquisition protocol are prone to artifacts induced by motion and low signal-to-noise rations(SNRs). A rigorous quality control (QC) and error correction procedure is absolutely necessary for DTI data analysis. Most existing QC procedures are conducted in the DWI domain and/or on a voxel level, but our own experiments show that these methods often do not fully detect and eliminate certain types of artifacts. We propose a new regional, alignment-independent DTI-QC measure that is based in the DTI domain employing the entropy of the regional distribution of the principal directions. This new QC measurement is intended to complement the existing set of QC procedures by detecting and correcting residual artifacts. Experiments show that our automatic method can reliably detect and potentially correct such residual artifacts. The results indicate its usefulness for general quality assessment in DTI studies.

Additional Material
1 File (67.861kB)
Farzinfar-ISBI2012-fig6.jpg (67.861kB)