Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique

2021 ◽  
pp. 109994
Author(s):  
Taku Tajima ◽  
Hiroyuki Akai ◽  
Haruto Sugawara ◽  
Koichiro Yasaka ◽  
Akira Kunimatsu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Magnetic Resonance ◽  
Noise Reduction ◽  
Magnetic Resonance Cholangiopancreatography ◽  
Breath Hold ◽  
Reduction Approach

scholarly journals Improving the Structure–Function Relationship in Glaucomatous Visual Fields by Using a Deep Learning–Based Noise Reduction Approach

2020 ◽  
Vol 3 (3) ◽  
pp. 210-217 ◽  
Author(s):  
Ryo Asaoka ◽  
Hiroshi Murata ◽  
Masato Matsuura ◽  
Yuri Fujino ◽  
Mieko Yanagisawa ◽  
...  
Keyword(s):  
Deep Learning ◽  
Structure Function ◽  
Noise Reduction ◽  
Visual Fields ◽  
Structure Function Relationship ◽  
Function Relationship ◽  
Reduction Approach

Breath-Hold Magnetic Resonance Cholangiopancreatography in the Evaluation of Malignant Pancreaticobiliary Obstruction

2003 ◽  
Vol 27 (3) ◽  
pp. 307-314 ◽  
Author(s):  
Lawrence H. Schwartz ◽  
Robert A. Lefkowitz ◽  
David M. Panicek ◽  
Fergus V. Coakley ◽  
William Jarnagin ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Cholangiopancreatography ◽  
Breath Hold

scholarly journals Magnetic resonance cholangiopancreatography with compressed sensing at 1.5 T: clinical application for the evaluation of branch duct IPMN of the pancreas

2020 ◽  
Vol 30 (11) ◽  
pp. 6014-6021
Author(s):  
Benjamin Henninger ◽  
Michael Steurer ◽  
Michaela Plaikner ◽  
Elisabeth Weiland ◽  
Werner Jaschke ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Image Quality ◽  
Compressed Sensing ◽  
Magnetic Resonance Cholangiopancreatography ◽  
Rank Test ◽  
Breath Hold ◽  
Branch Duct ◽  
Significant Difference ◽  
Lesion Conspicuity ◽  
Short Breath

Abstract Objectives To evaluate magnetic resonance cholangiopancreatography (MRCP) with compressed sensing (CS) for the assessment of branch duct intraductal papillary mucinous neoplasm (BD-IPMN) of the pancreas. For this purpose, conventional navigator-triggered (NT) sampling perfection with application-optimized contrast using different flip angle evolutions (SPACE) MRCP was compared with various CS-SPACE-MRCP sequences in a clinical setting. Methods A total of 41 patients (14 male, 27 female, mean age 68 years) underwent 1.5-T MRCP for the evaluation of BD-IPMN. The MRCP protocol consisted of the following sequences: conventional NT-SPACE-MRCP, CS-SPACE-MRCP with long (BHL, 17 s) and short single breath-hold (BHS, 8 s), and NT-CS-SPACE-MRCP. Two board-certified radiologists evaluated image quality, duct sharpness, duct visualization, lesion conspicuity, confidence, and communication with the main pancreatic duct in consensus using a 5-point scale (1–5), with higher scores indicating better quality/delineation/confidence. Maximum intensity projection reconstructions and originally acquired data were used for evaluation. Wilcoxon signed-rank test was used to compare the intra-individual difference between sequences. Results BHS-CS-SPACE-MRCP had the highest scores for image quality (3.85 ± 0.79), duct sharpness (3.81 ± 1.05), and duct visualization (3.81 ± 1.01). There was a significant difference compared with NT-CS-SPACE-MRCP (p < 0.05) but no significant difference to the standard NT-SPACE-MRCP (p > 0.05). Concerning diagnostic quality, BHS-CS-SPACE-MRCP had the highest scores in lesion conspicuity (3.95 ± 0.92), confidence (4.12 ± 1.08), and communication (3.8 ± 1.06), significantly higher compared with NT-SPACE-MRCP, BHL-SPACE-MRCP, and NT-CS-SPACE-MRCP (p = <0.05). Conclusions MRCP with CS 3D SPACE for the evaluation of BD-IPMN at 1.5 T provides the best results using a short breath-hold sequence. This approach is feasible and an excellent alternative to standard NT 3D MRCP sequences. Key Points • 1.5-T MRCP with compressed sensing for the evaluation of branch duct IPMN is a feasible method. • Short breath-hold sequences provide the best results for this purpose.

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