A theoretical framework for retrospective correction to the arterial input function in quantitative myocardial perfusion MRI

2021 ◽  
Author(s):  
Lexiaozi Fan ◽  
Bradley D. Allen ◽  
Austin E. Culver ◽  
Li‐Yueh Hsu ◽  
Kyungpyo Hong ◽  
...  
Keyword(s):  
Myocardial Perfusion ◽  
Arterial Input Function ◽  
Input Function ◽  
Theoretical Framework ◽  
Perfusion Mri ◽  
Quantitative Myocardial Perfusion

scholarly journals Quantitative Myocardial Perfusion with 2D and 3D Sequences Alternating Every Heartbeat

2021 ◽  
Author(s):  
Qi Huang ◽  
Ye Tian ◽  
Jason Mendes ◽  
Ravi Ranjan ◽  
Ganesh Adluru ◽  
...  
Keyword(s):  
Myocardial Perfusion ◽  
Arterial Input Function ◽  
Compartment Model ◽  
Input Function ◽  
Saturation Recovery ◽  
Quantitative Perfusion ◽  
Stress Studies ◽  
Two Compartment Model ◽  
Quantitative Myocardial Perfusion ◽  
3D Sequences

Abstract PurposeTo evaluate a myocardial perfusion acquisition that alternates 2D simultaneous multi-slice (SMS) and 3D stack-of-stars (SoS) acquisitions each heartbeat. MethodsA hybrid saturation recovery radial 2D SMS and a saturation recovery 3D SoS sequence were created for the quantification of myocardial blood flow (MBF). Initial studies were done to study the effects of using only every other beat for the 2D SMS in two subjects, and for the 3D SoS in two subjects. Alternating heartbeat 2D SMS and 3D SoS were then performed in ten dog studies at rest, four dog studies at adenosine stress, and two human resting studies. 2D SMS acquisition acquired three slices and 3D SoS acquired six slices. An arterial input function (AIF) for 2D SMS was obtained using the first 24 rays. For 3D, the AIF was obtained in a 2D slice prior to each 3D SoS readout. Quantitative MBF analysis was performed for 2D SMS and 3D SoS separately, using a two-compartment model. ResultsAcquiring every-other-beat data resulted in 5-20% perfusion changes at rest for both 2D SMS and 3D SoS methods. For alternating acquisitions, 2D SMS and 3D SoS quantitative perfusion values were comparable for both the twelve rest studies (2D SMS: 0.68±0.15 vs 3D: 0.69±0.15 ml/g/min, p=0.85) and the four stress studies (2D SMS: 1.28±0.22 vs 3D: 1.30±0.24 ml/g/min, p=0.66).ConclusionEvery-other-beat acquisition changed estimated perfusion values relatively little for both sequences. 2D SMS and 3D SoS gave similar quantitative perfusion estimates when used in an alternating every-other-heartbeat acquisition. Such an approach allows consideration of more diverse perfusion acquisitions that could have complementary features, although testing in a cardiac disease population is needed.

scholarly journals Optimal Scaling Approaches for Perfusion MRI with Distorted Arterial Input Function (AIF) in Patients with Ischemic Stroke

2022 ◽  
Vol 12 (1) ◽  
pp. 77
Author(s):  
Sukhdeep Singh Bal ◽  
Fan Pei Gloria Yang ◽  
Yueh-Feng Sung ◽  
Ke Chen ◽  
Jiu-Haw Yin ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Arterial Input Function ◽  
Input Function ◽  
Peak Height ◽  
Perfusion Mri ◽  
Mri Imaging ◽  
Inaccurate Estimation ◽  
Parameter Values ◽  
The Brain ◽  
Accurate Quantification

Background: Diagnosis and timely treatment of ischemic stroke depends on the fast and accurate quantification of perfusion parameters. Arterial input function (AIF) describes contrast agent concentration over time as it enters the brain through the brain feeding artery. AIF is the central quantity required to estimate perfusion parameters. Inaccurate and distorted AIF, due to partial volume effects (PVE), would lead to inaccurate quantification of perfusion parameters. Methods: Fifteen patients suffering from stroke underwent perfusion MRI imaging at the Tri-Service General Hospital, Taipei. Various degrees of the PVE were induced on the AIF and subsequently corrected using rescaling methods. Results: Rescaled AIFs match the exact reference AIF curve either at peak height or at tail. Inaccurate estimation of CBF values estimated from non-rescaled AIFs increase with increasing PVE. Rescaling of the AIF using all three approaches resulted in reduced deviation of CBF values from the reference CBF values. In most cases, CBF map generated by rescaled AIF approaches show increased CBF and Tmax values on the slices in the left and right hemispheres. Conclusion: Rescaling AIF by VOF approach seems to be a robust and adaptable approach for correction of the PVE-affected multivoxel AIF. Utilizing an AIF scaling approach leads to more reasonable absolute perfusion parameter values, represented by the increased mean CBF/Tmax values and CBF/Tmax images.

scholarly journals Deep‐Learning‐Based Preprocessing for Quantitative Myocardial Perfusion MRI

2019 ◽  
Vol 51 (6) ◽  
pp. 1689-1696 ◽  
Author(s):  
Cian M. Scannell ◽  
Mitko Veta ◽  
Adriana D.M. Villa ◽  
Eva C. Sammut ◽  
Jack Lee ◽  
...  
Keyword(s):  
Deep Learning ◽  
Myocardial Perfusion ◽  
Perfusion Mri ◽  
Quantitative Myocardial Perfusion

scholarly journals Influence of coronary flow profiles on bolus shape and quantitative myocardial perfusion MRI

2012 ◽  
Vol 14 (Suppl 1) ◽  
pp. W73
Author(s):  
Dirk Graafen ◽  
Julia Hamer ◽  
Regine Schmidt ◽  
Melanie Schmitt ◽  
Stefan Weber ◽  
...  
Keyword(s):  
Myocardial Perfusion ◽  
Coronary Flow ◽  
Perfusion Mri ◽  
Flow Profiles ◽  
Quantitative Myocardial Perfusion
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