DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis
We present a fast, validated, open-source toolkit for processing dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data. We validate it against the Quantitative Imaging Biomarkers Alliance (QIBA) Standard and Extended Tofts-Kety phantoms and find near perfect recovery in the absence of...
Main Authors: | David S. Smith, Xia Li, Lori R. Arlinghaus, Thomas E. Yankeelov, E. Brian Welch |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2015-04-01
|
Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/909.pdf |
Similar Items
-
The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI
by: Ping Ni Wang, et al.
Published: (2022-06-01) -
Editorial: Is two better than one? Exploring tissue microstructure with multi-modal imaging: Quantitative MRI and beyond
by: Alberto De Luca, et al.
Published: (2023-02-01) -
Improved Dynamic Contrast-Enhanced MRI Using Low Rank With Joint Sparsity
by: Jichang Zhang, et al.
Published: (2022-01-01) -
Quantification of Intra-Muscular Adipose Infiltration in Calf/Thigh MRI Using Fully and Weakly Supervised Semantic Segmentation
by: Rula Amer, et al.
Published: (2022-07-01) -
Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting
by: Jichang Zhang, et al.
Published: (2025-01-01)