scholarly journals Understanding Diffusion MR Imaging Techniques: From Scalar Diffusion-weighted Imaging to Diffusion Tensor Imaging and Beyond

Radiographics ◽  
2006 ◽  
Vol 26 (suppl_1) ◽  
pp. S205-S223 ◽  
Author(s):  
Patric Hagmann ◽  
Lisa Jonasson ◽  
Philippe Maeder ◽  
Jean-Philippe Thiran ◽  
Van J. Wedeen ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Mr Imaging ◽  
Diffusion Weighted Imaging ◽  
Diffusion Tensor ◽  
Imaging Techniques ◽  
Diffusion Mr ◽  
Diffusion Weighted ◽  
Scalar Diffusion ◽  
Diffusion Mr Imaging

scholarly journals Diffusion tensor imaging on 3-T MRI breast: diagnostic performance in comparison to diffusion-weighted imaging

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Dalia Abdelhady ◽  
Amany Abdelbary ◽  
Ahmed H. Afifi ◽  
Alaa-eldin Abdelhamid ◽  
Hebatallah H. M. Hassan
Keyword(s):  
Breast Cancer ◽  
Diffusion Tensor Imaging ◽  
Sensitivity And Specificity ◽  
Diffusion Weighted Imaging ◽  
Diffusion Tensor ◽  
Breast Mri ◽  
Breast Lesions ◽  
Dce Mri ◽  
Additional Tool ◽  
Diffusion Weighted

Abstract Background Breast cancer is the most prevalent cancer among females. Dynamic contrast-enhanced MRI (DCE-MRI) breast is highly sensitive (90%) in the detection of breast cancer. Despite its high sensitivity in detecting breast cancer, its specificity (72%) is moderate. Owing to 3-T breast MRI which has the advantage of a higher signal to noise ratio and shorter scanning time rather than the 1.5-T MRI, the adding of new techniques as diffusion tensor imaging (DTI) to breast MRI became more feasible. Diffusion-weighted imaging (DWI) which tracks the diffusion of the tissue water molecule as well as providing data about the integrity of the cell membrane has been used as a valuable additional tool of DCE-MRI to increase its specificity. Based on DWI, more details about the microstructure could be detected using diffusion tensor imaging. The DTI applies diffusion in many directions so apparent diffusion coefficient (ADC) will vary according to the measured direction raising its sensitivity to microstructure elements and cellular density. This study aimed to investigate the diagnostic accuracy of DTI in the assessment of breast lesions in comparison to DWI. Results By analyzing the data of the 50 cases (31 malignant cases and 19 benign cases), the sensitivity and specificity of DWI in differentiation between benign and malignant lesions were about 90% and 63% respectively with PPV 90% and NPV 62%, while the DTI showed lower sensitivity and specificity about 81% and 51.7%, respectively, with PPV 78.9% and NPV 54.8% (P-value ≤ 0.05). Conclusion While the DWI is still the most established diffusion parameter, DTI may be helpful in the further characterization of tumor microstructure and differentiation between benign and malignant breast lesions.

scholarly journals Diffusion weighted imaging and diffusion tensor imaging in the evaluation of transplanted kidneys

2015 ◽  
Vol 2 ◽  
pp. 71-80 ◽  
Author(s):  
Stefano Palmucci ◽  
Giuseppina Cappello ◽  
Giancarlo Attinà ◽  
Pietro Valerio Foti ◽  
Rita Olivia Anna Siverino ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Diffusion Weighted Imaging ◽  
Diffusion Tensor ◽  
Diffusion Weighted ◽  
Transplanted Kidneys ◽  
And Diffusion

Diffusion MR imaging: How to get the maximum from the experimental time

2013 ◽  
Vol 4 (1) ◽  
Author(s):  
Silvia Santis
Keyword(s):  
Clinical Practice ◽  
Mr Imaging ◽  
Diffusion Tensor ◽  
Experimental Time ◽  
Diffusion Mr ◽  
Non Invasive ◽  
Invasive Method ◽  
Full Protocol ◽  
Diffusion Mr Imaging

AbstractDiffusion-based MR imaging is the only non-invasive method for characterising the microstructural organization of brain tissue in vivo. Diffusion tensor MRI (DT-MRI) is currently routinely used in both research and clinical practice. However, other diffusion approaches are gaining more and more popularity and an increasing number of researchers express interest in using them concomitantly with DT-MRI. While non tensor-based methods hold great promises for increasing the specificity of diffusion MR imaging, including them in the experimental routine inevitably leads to longer experimental times. In most cases, this may preclude the translation of the full protocol to clinical practice, especially when these methods are to be used with subjects that are not compatible with long scanning sessions (e.g., with elderly and pediatric subjects who have difficulties in maintaining a fixed head position during a long imaging session).The aim of this review is to guide the end-users on obtaining the maximum from the experimental time allocated to collecting diffusion MRI data. This is done by: (i) briefly reviewing non tensor-based approaches; (ii) reviewing the optimal protocols for both tensor and non tensor-based imaging; and (iii) drawing the conclusions for different experimental times.

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