scholarly journals Abdominal DCE-MRI reconstruction with deformable motion correction for liver perfusion quantification

2018 ◽  
Vol 45 (10) ◽  
pp. 4529-4540 ◽  
Author(s):  
Adam Johansson ◽  
James M. Balter ◽  
Yue Cao
Keyword(s):  
Motion Correction ◽  
Liver Perfusion ◽  
Dce Mri ◽  
Mri Reconstruction ◽  
Perfusion Quantification ◽  
Deformable Motion

scholarly journals Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver

2018 ◽  
Vol 13 (4) ◽  
pp. 597-606 ◽  
Author(s):  
Jan Strehlow ◽  
Nadine Spahr ◽  
Jan Rühaak ◽  
Hendrik Laue ◽  
Nasreddin Abolmaali ◽  
...  
Keyword(s):  
Motion Correction ◽  
Dce Mri ◽  
Deformable Motion

scholarly journals 3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRI

2019 ◽  
Vol 82 (5) ◽  
pp. 1753-1766 ◽  
Author(s):  
Matteo Ippoliti ◽  
Mathias Lukas ◽  
Winfried Brenner ◽  
Tobias Schaeffter ◽  
Marcus R. Makowski ◽  
...  
Keyword(s):  
Motion Correction ◽  
Quantitative Assessment ◽  
Nonrigid Motion ◽  
Dce Mri ◽  
Hepatic Lesions

scholarly journals Tracer kinetic models as temporal constraints during brain tumor DCE‐MRI reconstruction

2019 ◽  
Vol 47 (1) ◽  
pp. 37-51
Author(s):  
Sajan Goud Lingala ◽  
Yi Guo ◽  
Yannick Bliesener ◽  
Yinghua Zhu ◽  
R. Marc Lebel ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Kinetic Models ◽  
Temporal Constraints ◽  
Dce Mri ◽  
Tracer Kinetic ◽  
Mri Reconstruction

scholarly journals Respiratory motion correction in dynamic MRI using robust data decomposition registration – Application to DCE-MRI

2014 ◽  
Vol 18 (2) ◽  
pp. 301-313 ◽  
Author(s):  
Valentin Hamy ◽  
Nikolaos Dikaios ◽  
Shonit Punwani ◽  
Andrew Melbourne ◽  
Arash Latifoltojar ◽  
...  
Keyword(s):  
Motion Correction ◽  
Respiratory Motion ◽  
Dynamic Mri ◽  
Data Decomposition ◽  
Dce Mri ◽  
Respiratory Motion Correction

scholarly journals Reliability of DCE MRI data in primary brain tumours: a comparison of Tofts and Shutter Speed Models

2019 ◽  
Vol 21 (Supplement_4) ◽  
pp. iv11-iv11
Author(s):  
Marianna Inglese ◽  
Lesley Honeyfield ◽  
Eric Aboagye ◽  
Adam Waldman ◽  
Matthew Grech-Sollars
Keyword(s):  
Model Selection ◽  
Brain Tumours ◽  
Clinical Care ◽  
Information Criteria ◽  
Dce Mri ◽  
Primary Brain Tumours ◽  
Quantitative Measurements ◽  
Perfusion Quantification ◽  
Brain Data ◽  
Shutter Speed

Abstract The accuracy of quantitative measurements of perfusion parameters by DCE-MRI is crucial as it can significantly impact the clinical care of cancer patients. In this study, we provide a method to identify reliable DCE-MRI brain data for perfusion quantification with different pharmacokinetic models. We analysed DCE-MRI data of 14 patients with primary brain tumours using the Tofts model (TM), the extended-Tofts model (ETM), the shutter speed model (SSM) and the extended shutter speed model (ESSM). Due to the presence of the blood brain barrier, which can block the leakage of the CA into the interstitium, we also implemented the no-exchange model (NEM). For each lesion, we produced a 3D model selection map with the evaluation of the Akaike Information Criteria. The variability of each pharmacokinetic parameter extracted from the fitting of the model of choice was assessed with a noise propagation procedure, resulting in distributions of the coefficient of variation (CV). Results showed the NEM to be the most frequent model of choice (35.5%), followed by the ETM (32%), the TM (28.2%), the SSM (4.3%) and the ESSM (<0.1%). In analysing the reliability of Ktrans, when considering regions with a CV<20%, ≈25% of voxels were found to be stable. The remaining 75% of voxels were considered to be unreliable. In conclusion, an appropriate model selection, considering tissue biology and its effects on BBB permeability and exchange conditions, together with an analysis on the reliability and stability of the calculated parameters, is critical in the identification of reliable brain DCE-MRI data.

Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

2021 ◽  
pp. 733-742
Author(s):  
Yuhang Sun ◽  
Dongming Wei ◽  
Zhiming Cui ◽  
Yujia Zhou ◽  
Caiwen Jiang ◽  
...  
Keyword(s):  
Motion Correction ◽  
Intensity Curve ◽  
Time Intensity Curve ◽  
Dce Mri
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