Code underlying the publication: Arterial input function estimation compensating for inflow and partial voluming in dynamic contrast-enhanced MRI
doi:10.4121/d4d64e50-a66e-4eff-902c-b1785782bb29.v1
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doi: 10.4121/d4d64e50-a66e-4eff-902c-b1785782bb29
doi: 10.4121/d4d64e50-a66e-4eff-902c-b1785782bb29
Datacite citation style:
Tseng, Chih-Hsien; Martijn Nagtegaal; van Osch, Matthias; Vos, Frans (2024): Code underlying the publication: Arterial input function estimation compensating for inflow and partial voluming in dynamic contrast-enhanced MRI. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d4d64e50-a66e-4eff-902c-b1785782bb29.v1
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Dataset
time coverage
2024
licence
ODbL-1.0
This is the Matlab code designed for simultaneously correcting the inflow and partial volume effects (PVE) for arterial input function (AIF) measurement in dynamic contrast-enhanced MRI. It includes a demo with an measured AIF contaminated with both inflow and PVE. With the designed functions, the contamination could be removed and an ideal AIF could be reconstructed.
history
- 2024-11-07 first online, published, posted
publisher
4TU.ResearchData
format
Code/mat
associated peer-reviewed publication
Arterial input function estimation compensating for inflow and partial voluming in dynamic contrast-enhanced MRI
funding
- HollandPTC-Varian Consortium grant (grant code 2020015) Varian, a SIemens Healthineers company
organizations
TU Delft, Faculty of Applied Sciences, Department of Imaging Physics
DATA
files (4)
- 1,108 bytesMD5:
cfe41232a47d636f72127426504bb97d
README.md - 1,765 bytesMD5:
d0c13456c7829937928d8c03728cd8de
Demo.m - 1,332 bytesMD5:
2093f3084061434a49075cea1e932ebb
EstimateC.m - 2,093 bytesMD5:
70cddf8e2e3a36ceba84da0a1367fb1b
EstimateNofPulses.m -
download all files (zip)
6,298 bytes unzipped