scholarly journals Improved bolus arrival time and arterial input function estimation for tracer kinetic analysis in DCE-MRI

2009 ◽  
Vol 29 (1) ◽  
pp. 166-176 ◽  
Author(s):  
Anup Singh ◽  
Ram K. Singh Rathore ◽  
Mohammad Haris ◽  
Sanjay K. Verma ◽  
Nuzhat Husain ◽  
...  
Keyword(s):  
Kinetic Analysis ◽  
Arrival Time ◽  
Arterial Input Function ◽  
Input Function ◽  
Function Estimation ◽  
Dce Mri ◽  
Bolus Arrival Time ◽  
Tracer Kinetic

scholarly journals Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258621
Author(s):  
Ty O. Easley ◽  
Zhen Ren ◽  
Byol Kim ◽  
Gregory S. Karczmar ◽  
Rina F. Barber ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Arrival Time ◽  
Arterial Input Function ◽  
Time Estimation ◽  
Significant Loss ◽  
Small Time ◽  
Initial Slope ◽  
Real Patient ◽  
Dce Mri ◽  
Bolus Arrival Time

In patients with dense breasts or at high risk of breast cancer, dynamic contrast enhanced MRI (DCE-MRI) is a highly sensitive diagnostic tool. However, its specificity is highly variable and sometimes low; quantitative measurements of contrast uptake parameters may improve specificity and mitigate this issue. To improve diagnostic accuracy, data need to be captured at high spatial and temporal resolution. While many methods exist to accelerate MRI temporal resolution, not all are optimized to capture breast DCE-MRI dynamics. We propose a novel, flexible, and powerful framework for the reconstruction of highly-undersampled DCE-MRI data: enhancement-constrained acceleration (ECA). Enhancement-constrained acceleration uses an assumption of smooth enhancement at small time-scale to estimate points of smooth enhancement curves in small time intervals at each voxel. This method is tested in silico with physiologically realistic virtual phantoms, simulating state-of-the-art ultrafast acquisitions at 3.5s temporal resolution reconstructed at 0.25s temporal resolution (demo code available here). Virtual phantoms were developed from real patient data and parametrized in continuous time with arterial input function (AIF) models and lesion enhancement functions. Enhancement-constrained acceleration was compared to standard ultrafast reconstruction in estimating the bolus arrival time and initial slope of enhancement from reconstructed images. We found that the ECA method reconstructed images at 0.25s temporal resolution with no significant loss in image fidelity, a 4x reduction in the error of bolus arrival time estimation in lesions (p < 0.01) and 11x error reduction in blood vessels (p < 0.01). Our results suggest that ECA is a powerful and versatile tool for breast DCE-MRI.

The use of a reference tissue arterial input function with low-temporal-resolution DCE-MRI data

2010 ◽  
Vol 55 (16) ◽  
pp. 4871-4883 ◽  
Author(s):  
M Heisen ◽  
X Fan ◽  
J Buurman ◽  
N A W van Riel ◽  
G S Karczmar ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Arterial Input Function ◽  
Input Function ◽  
Reference Tissue ◽  
Dce Mri

SU-G-IeP1-03: Comparing Arterial Input Function Measurements in DCE-MRI Using MOLLI and Phase

2016 ◽  
Vol 43 (6Part25) ◽  
pp. 3644-3644
Author(s):  
N Majtenyi ◽  
H Gabrani-Juma ◽  
R Klein ◽  
RA deKemp ◽  
G Cron ◽  
...  
Keyword(s):  
Arterial Input Function ◽  
Input Function ◽  
Dce Mri

scholarly journals Multiple reference tissue method for contrast agent arterial input function estimation

2007 ◽  
Vol 58 (6) ◽  
pp. 1266-1275 ◽  
Author(s):  
Cheng Yang ◽  
Gregory S. Karczmar ◽  
Milica Medved ◽  
Walter M. Stadler
Keyword(s):  
Contrast Agent ◽  
Arterial Input Function ◽  
Input Function ◽  
Function Estimation ◽  
Reference Tissue ◽  
Multiple Reference

SU-D-BRB-06: Comprehensive Population-Averaged Arterial Input Function (AIF) for DCE-MRI of Head and Neck Cancer

2012 ◽  
Vol 39 (6Part3) ◽  
pp. 3615-3616 ◽  
Author(s):  
J Onxley ◽  
D Yoo ◽  
N Muradyan ◽  
J MacFall ◽  
D Brizel ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Arterial Input Function ◽  
Input Function ◽  
Dce Mri

Quantitative pharmacokinetic analysis of DCE-MRI data without an arterial input function: a reference region model

2005 ◽  
Vol 23 (4) ◽  
pp. 519-529 ◽  
Author(s):  
Thomas E. Yankeelov ◽  
Jeffrey J. Luci ◽  
Martin Lepage ◽  
Rui Li ◽  
Laura Debusk ◽  
...  
Keyword(s):  
Arterial Input Function ◽  
Input Function ◽  
Pharmacokinetic Analysis ◽  
Reference Region ◽  
Dce Mri ◽  
Region Model
Sign in / Sign up

Export Citation Format

Share Document