Abstract Archives of the RSNA, 2014
RCA42
DtiStudio/MriStudio: Integrated Software Resource for White Matter Mapping and Quantitative Image Analysis (Hands-on)
Refresher/Informatics
—
Informatics,
Presented on December 3, 2014
Kenichi Oishi MD, PhD, Presenter: Nothing to Disclose
Andreia Vasconcellos Faria MD, Presenter: Nothing to Disclose
Johnny Tz-Chieh Hsu MS, Presenter: Nothing to Disclose
Susumu Mori PhD, Presenter: Research Consultant, AnatomyWorks LLC
CEO, AnatomyWorks LLC
1) Learn practical aspects of DTI calculation: While the tensor calculation is an established process, there are several potential pitfalls and limitations. We will highlight these issues and discuss how we can resolve them. 2) Learn the concepts of image normalization: Image normalization is one of the crucial steps for quantitative image analysis. While this approach is widely used, the technology is far from complete. The issues specific to white matter anatomy and potential solutions will be discussed. 3) Learn atlas-based image analysis: Once the brain is normalized, there are many options for the final quantification step. Advantages and disadvantages of these options will be discussed.
Diffusion tensor imaging (DTI) can provide rich anatomical information of the brain white matter. Various white matter tracts, which are not visible in T1 and T2-weighted anatomical scans, can be clearly delineated in DTI-derived maps. The quantification of the white matter anatomy is, however, not straightforward. MriStudio consists of three programs designed for quantification of white matter anatomy. DtiStudio reads image data (such as DICOM) from multiple platforms and calculates various quantitative maps based on tensor calculation. Special emphasis is placed on image quality control at a various calculation steps. DiffeoMap then transforms the patient image into a common atlas space (or transform the atlas to the patient brain). Finally, RoiEditor provides an interface to perform automated or manual white matter segmentation, followed by reporting of anatomical properties of each segmented area. The quantification of 3D anatomical features poses many challenges and there are also difficulties specific to white matter structures. The purpose of this course is to learn various options to study white matter anatomy, practical issues encountered during the quantification, and their advantages and disadvantages.
https://www.mristudio.org/wiki/Tutorial
http://media.rsna.org/media/abstract/2014/11033053/RSNA2014_MRIstudio_handout.pdf
http://media.rsna.org/media/abstract/2014/11033053/RCA42 sec.pdf
Oishi, K,
Faria, A,
Hsu, J,
Mori, S,
DtiStudio/MriStudio: Integrated Software Resource for White Matter Mapping and Quantitative Image Analysis (Hands-on). Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/11033053.html