scholarly journals Mapping gradient nonlinearity and miscalibration using diffusion‐weighted MR images of a uniform isotropic phantom

2021 ◽  
Author(s):  
Alan Seth Barnett ◽  
M. Okan Irfanoglu ◽  
Bennett Landman ◽  
Baxter Rogers ◽  
Carlo Pierpaoli
Keyword(s):  
Mr Images ◽  
Diffusion Weighted ◽  
Gradient Nonlinearity

The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas

2021 ◽  
pp. 1-8
Author(s):  
Haimei Cao ◽  
Xiang Xiao ◽  
Jun Hua ◽  
Guanglong Huang ◽  
Wenle He ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Roc Curve ◽  
Diffusion Weighted Imaging ◽  
Low Grade ◽  
High Grade ◽  
Mr Images ◽  
Vascular Space ◽  
Diffusion Weighted ◽  
High Grade Gliomas ◽  
And Diffusion

Objectives: The present study aimed to study whether combined inflow-based vascular-space-occupancy (iVASO) MR imaging (MRI) and diffusion-weighted imaging (DWI) improve the diagnostic accuracy in the preoperative grading of gliomas. Methods: Fifty-one patients with histopathologically confirmed diffuse gliomas underwent preoperative structural MRI, iVASO, and DWI. We performed 2 qualitative consensus reviews: (1) structural MR images alone and (2) structural MR images with iVASO and DWI. Relative arteriolar cerebral blood volume (rCBVa) and minimum apparent diffusion coefficient (mADC) were compared between low-grade and high-grade gliomas. Receiver operating characteristic (ROC) curve analysis was performed to compare the tumor grading efficiency of rCBVa, mADC, and the combination of the two parameters. Results: Two observers diagnosed accurate tumor grade in 40 of 51 (78.4%) patients in the first review and in 46 of 51 (90.2%) in the second review. Both rCBVa and mADC showed significant differences between low-grade and high-grade gliomas. ROC analysis gave a threshold value of 1.52 for rCBVa and 0.85 × 10−3 mm2/s for mADC to provide a sensitivity and specificity of 88.0 and 81.2% and 100.0 and 68.7%, respectively. The area under the ROC curve (AUC) was 0.87 and 0.85 for rCBVa and mADC, respectively. The combination of rCBVa and mADC values increased the AUC to 0.92. Conclusion: The combined application of iVASO and DWI may improve the diagnostic accuracy of glioma grading.

scholarly journals Differentiating benign and malignant inflammatory breast lesions: Value of T2 weighted and diffusion weighted MR images

2018 ◽  
Vol 50 ◽  
pp. 38-44 ◽  
Author(s):  
Shotaro Kanao ◽  
Masako Kataoka ◽  
Mami Iima ◽  
Debra Masako Ikeda ◽  
Masakazu Toi ◽  
...  
Keyword(s):  
Breast Lesions ◽  
Mr Images ◽  
Diffusion Weighted ◽  
And Diffusion

Correction of motional artifacts in diffusion-weighted MR images using navigator echoes

1994 ◽  
Vol 12 (3) ◽  
pp. 455-460 ◽  
Author(s):  
R.J. Ordidge ◽  
J.A. Helpern ◽  
Z.X. Qing ◽  
R.A. Knight ◽  
V. Nagesh
Keyword(s):  
Mr Images ◽  
Diffusion Weighted

Imaging Tutorial: Differential Diagnosis of Bright Lesions on Diffusion-weighted MR Images

Radiographics ◽  
10.1148/rg.e7 ◽  
2003 ◽  
Vol 23 (1) ◽  
pp. e7-e7 ◽  
Author(s):  
Tadeusz W. Stadnik ◽  
Philippe Demaerel ◽  
Robert R Luypaert ◽  
Christo Chaskis ◽  
Katrijn L. Van Rompaey ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Mr Images ◽  
Diffusion Weighted ◽  
Bright Lesions

Intensity profile based measurement of prostate gold markers influence on 1.5 and 3T diffusion-weighted MR images

2011 ◽  
Vol 50 (6) ◽  
pp. 866-872 ◽  
Author(s):  
Susanne Rylander ◽  
Sara Thörnqvist ◽  
Søren Haack ◽  
Erik Morre Pedersen ◽  
Ludvig Paul Muren
Keyword(s):  
Intensity Profile ◽  
Mr Images ◽  
Diffusion Weighted
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