Pitfalls in Diffusion-Weighted and Diffusion Tensor Imaging of the Pediatric Brain

2017 ◽  
Vol 48 (05) ◽  
pp. 340-349 ◽  
Author(s):  
Nivedita Agarwal ◽  
Aylin Tekes ◽  
Andrea Poretti ◽  
Avner Meoded ◽  
Thierry Huisman

AbstractDiffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced magnetic resonance imaging (MRI) techniques that are based on differences in the diffusion rate of water molecules in brain tissue. DWI and DTI are widely used in pediatric neuroradiology to evaluate a wide spectrum of brain diseases. The interpretation of DWI and DTI images requires a basic knowledge of the underlying physics to detect potential pitfalls and avoid misinterpretation. Several DWI pitfalls are related to the dependency of DWI images not only on the diffusivity of water molecules, but also on various additional MRI phenomena such as the T1- and T2- relaxation characteristics and MRI-related artifacts. In addition, knowledge about the age of the child and interval between the onset of injury and acquisition of DWI/DTI images is important. Finally, qualitative evaluation (“eye-balling”) maybe misleading, and the application of quantitative measurements of DTI scalars may avoid misdiagnosis.

2014 ◽  
Vol 2014 (jun04 1) ◽  
pp. bcr2014204078-bcr2014204078 ◽  
Author(s):  
B. Shankar ◽  
R. Narayanan ◽  
P. Muralitharan ◽  
B. Ulaganathan

Author(s):  
Evanthia E. Tripoliti ◽  
Dimitrios I. Fotiadis ◽  
Konstantia Veliou

Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging (MRI) modality which can significantly improve our understanding of the brain structures and neural connectivity. DTI measures are thought to be representative of brain tissue microstructure and are particularly useful for examining organized brain regions, such as white matter tract areas. DTI measures the water diffusion tensor using diffusion weighted pulse sequences which are sensitive to microscopic random water motion. The resulting diffusion weighted images (DWI) display and allow quantification of how water diffuses along axes or diffusion encoding directions. This can help to measure and quantify the tissue’s orientation and structure, making it an ideal tool for examining cerebral white matter and neural fiber tracts. In this chapter the authors discuss the theoretical aspects of DTI, the information that can be extracted from DTI data, and the use of the extracted information for the reconstruction of fiber tracts and the diagnosis of a disease. In addition, a review of known fiber tracking algorithms is presented.


2015 ◽  
Vol 2 ◽  
pp. 71-80 ◽  
Author(s):  
Stefano Palmucci ◽  
Giuseppina Cappello ◽  
Giancarlo Attinà ◽  
Pietro Valerio Foti ◽  
Rita Olivia Anna Siverino ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document