scholarly journals Reduction of vibration‐induced signal loss by matching mechanical vibrational states: Application in high b ‐value diffusion‐weighted MRS

2019 ◽  
Vol 84 (1) ◽  
pp. 39-51 ◽  
Author(s):  
Dominik Weidlich ◽  
Mark Zamskiy ◽  
Marcus Maeder ◽  
Stefan Ruschke ◽  
Steffen Marburg ◽  
...  
Keyword(s):  
B Value ◽  
Signal Loss ◽  
Vibrational States ◽  
High B Value ◽  
Diffusion Weighted ◽  
Induced Signal

High b-value diffusion-weighted MRI for detecting gallbladder carcinoma: preliminary study and results

2009 ◽  
Vol 19 (7) ◽  
pp. 1794-1798 ◽  
Author(s):  
Reiji Sugita ◽  
Tetsuro Yamazaki ◽  
Akemi Furuta ◽  
Kei Itoh ◽  
Naotaka Fujita ◽  
...  
Keyword(s):  
Gallbladder Carcinoma ◽  
B Value ◽  
Diffusion Weighted Mri ◽  
High B Value ◽  
Diffusion Weighted ◽  
Preliminary Study

High b-value diffusion-weighted imaging: A sensitive method to reveal white matter differences in schizophrenia

2012 ◽  
Vol 201 (2) ◽  
pp. 144-151 ◽  
Author(s):  
Philipp Sebastian Baumann ◽  
Leila Cammoun ◽  
Philippe Conus ◽  
Kim Quang Do ◽  
Pierre Marquet ◽  
...  
Keyword(s):  
White Matter ◽  
Diffusion Weighted Imaging ◽  
B Value ◽  
High B Value ◽  
Diffusion Weighted ◽  
Sensitive Method

Ultra-High b-Value Diffusion-Weighted Imaging–Based Abbreviated Protocols for Breast Cancer Detection

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sabine Ohlmeyer ◽  
Frederik Bernd Laun ◽  
Sebastian Bickelhaupt ◽  
Theresa Palm ◽  
Rolf Janka ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Diffusion Weighted Imaging ◽  
B Value ◽  
Breast Cancer Detection ◽  
High B Value ◽  
Diffusion Weighted

Clinical impact of ultra-high b-value (3000 s/mm2) diffusion-weighted magnetic resonance imaging in prostate cancer at 3T: comparison with b-value of 2000 s/mm2

2021 ◽  
pp. 20210465
Author(s):  
Tsutomu Tamada ◽  
Ayumu Kido ◽  
Yu Ueda ◽  
Mitsuru Takeuchi ◽  
Takeshi Fukunaga ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Performance ◽  
Signal To Noise Ratio ◽  
B Value ◽  
Single Shot ◽  
Signal To Noise ◽  
High B Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Noise Ratio

Objective: High b-value diffusion-weighted imaging (hDWI) with a b-value of 2000 s/mm2 provides insufficient image contrast between benign and malignant tissues and an overlap of apparent diffusion coefficient (ADC) between Gleason grades (GG) in prostate cancer (PC). We compared image quality, PC detectability, and discrimination ability for PC aggressiveness between ultra-high b-value DWI (uhDWI) of 3000 s/mm2 and hDWI. Methods: The subjects were 49 patients with PC who underwent 3T multiparametric MRI. Single-shot echo-planar DWI was acquired with b-values of 0, 2000, and 3000 s/mm2. Anatomical distortion of prostate (AD), signal intensity of benign prostate (PSI), and lesion conspicuity score (LCS) were assessed using a 4-point scale; and signal-to-noise ratio, contrast-to-noise ratio, and mean ADC (×10–3 mm2/s) of lesion (lADC) and surrounding benign region (bADC) were measured. Results: PSI was significantly lower in uhDWI than in hDWI (p < 0.001). AD, LCS, signal-to-noise ratio, and contrast-to-noise ratio were comparable between uhDWI and hDWI (all p > 0.05). In contrast, lADC was significantly lower than bADC in both uhDWI and hDWI (both p < 0.001). In comparison of lADC between tumors of ≤GG2 and those of ≥GG3, both uhDWI and hDWI showed significant difference (p = 0.007 and p = 0.021, respectively). AUC for separating tumors of ≤GG2 from those of ≥GG3 was 0.731 in hDWI and 0.699 in uhDWI (p = 0.161). Conclusion: uhDWI suppressed background signal better than hDWI, but did not contribute to increased diagnostic performance in PC. Advances in knowledge: Compared with hDWI, uhDWI could not contribute to increased diagnostic performance in PC.

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