期刊
MAGNETIC RESONANCE IMAGING
卷 75, 期 -, 页码 116-123出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mri.2020.09.009
关键词
Arterial input function; Quantitative perfusion; Dynamic contrast enhanced MRI; Colorectal cancer; Segmentation
资金
- Research Campus M2OLIE - German Federal Ministry of Education and Research (BMBF) within the Forschungscampus: publicprivate partnership for Innovations [13GW0388A]
The deterministic algorithm developed in this study successfully detects the Arterial Input Function in DCEMRI of colorectal cancer with a lower error rate compared to algorithms from literature. The algorithm also produces reproducible results and supports robust and comparable perfusion analysis.
Development of a deterministic algorithm for automated detection of the Arterial Input Function (AIF) in DCEMRI of colorectal cancer. Using a filter pipeline to determine the AIF region of interest. Comparison to algorithms from literature with mean squared error and quantitative perfusion parameter K-trans. The AIF found by our algorithm has a lower mean squared error (0.0022 +/- 0.0021) in reference to the manual annotation than comparable algorithms. The error of K-trans (21.52 +/- 17.2%) is lower than that of other algorithms. Our algorithm generates reproducible results and thus supports a robust and comparable perfusion analysis.
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