scholarly journals Effect of contrast media on single-shot echo planar imaging: Implications for abdominal diffusion imaging

2009 ◽  
Vol 30 (5) ◽  
pp. 1203-1208 ◽  
Author(s):  
Vikas Gulani ◽  
Jonathan M. Willatt ◽  
Martin Blaimer ◽  
Hero K. Hussain ◽  
Jeffrey L. Duerk ◽  
...  
2011 ◽  
Vol 32 (5) ◽  
pp. 813-820 ◽  
Author(s):  
G. Zaharchuk ◽  
E.U. Saritas ◽  
J.B. Andre ◽  
C.T. Chin ◽  
J. Rosenberg ◽  
...  

Author(s):  
David A. Feinberg ◽  
Steen Moeller ◽  
Stephen M. Smith ◽  
Edward Auerbach ◽  
Sudhir Ramanna ◽  
...  

2019 ◽  
Author(s):  
Mahdi Khajehim ◽  
Thomas Christen ◽  
J. Jean Chen

AbstractPurposeTo introduce a novel magnetic-resonance fingerprinting (MRF) framework with single-shot echo-planar imaging (EPI) readout to simultaneously estimate tissue T2, T1 and T2*, and integrate B1 correction.MethodsSpin-echo EPI is combined with gradient-echo EPI to achieve T2 estimation as well as T1 and T2* quantification. In the dictionary matching step, the GE-EPI data segment provides estimates of tissue T1 and T2* with additional B1 information, which are then incorporated into the T2-matching step that uses the SE-EPI data segment. In this way, biases in T2 and T2* estimates do not affect each other.ResultsAn excellent correspondence was found between our T1, T2, and T2* estimates and results obtained from standard approaches in both phantom and human scans. In the phantom scan, a linear relationship with R2>0.96 was found for all parameter estimates. The maximum error in the T2 estimate was found to be below 6%. In the in-vivo scan, similar contrast was noted between MRF and standard approaches, and values found in a small region of interest (ROI) located in the grey matter (GM) were in line with previous measurements (T2MRF=88±7ms vs T2Ref=89±11ms, T1MRF=1153±154ms vs T1Ref=1122±52ms, T2*MRF=56±4ms vs T2*Ref=53±3ms).ConclusionAdding a spin echo data segment to EPI based MRF allows accurate and robust measurements of T2, T1 and T2* relaxation times. This MRF framework is easier to implement than spiral-based MRF. It doesn’t suffer from undersampling artifacts and seems to require a smaller dictionary size that can fasten the reconstruction process.


2019 ◽  
Vol 33 (12) ◽  
Author(s):  
Malte Steinhoff ◽  
Kay Nehrke ◽  
Alfred Mertins ◽  
Peter Börnert

2000 ◽  
Vol 18 (6) ◽  
pp. 649-657 ◽  
Author(s):  
Sara Brockstedt ◽  
James R Moore ◽  
Carsten Thomsen ◽  
Stig Holtås ◽  
Freddy Ståhlberg

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