• Technical Article •
Implement of radiomics flow based on the YAP pipeline
DOI:10.12015/issn.1674-8034.2018.07.009.
| [Abstract] Objective: To support radiomics studies based YAP (Yet Another Pipeline), which is originally a framework for magnetic resonance image reconstruction and post-processing.Materials and Methods: We introduced support of Python into YAP pipeline, so that processors in the pipeline can be programmed in Python. Then we implemented a radiomics pipeline with PyRadiomics package. Finally, the pipeline was used to study brain tumor grading problem with BRATS2017 open datasets.Results: A complete radiomics pipeline was built, which involved hybrid programming of C++ and Python. Best results for BRATS2017 tumor grading were achieved when 12 features were selected, with the best accuracy of 94.5% and AUC (Area Under Curve) for receiver operating characteristic curve of 0.9650.Conclusions: Hybrid programming of Python and C++, together with the facilities provided by YAP framework, may facilitate radiomics studies. |
| [Keywords] Image processing, computer-assisted；Magnetic resonance imaging；Programming languages；Medicine |
LI Dong-bao Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China normal University, Shanghai 200062, China
SONG Yang Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China normal University, Shanghai 200062, China
LUO Qing Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China normal University, Shanghai 200062, China
XIE Hai-bin* Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China normal University, Shanghai 200062, China; Shanghai Kangda Colorful Medical Technology Co., Ltd., Shanghai 200062, China
YANG Guang* Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China normal University, Shanghai 200062, China; Shanghai Kangda Colorful Medical Technology Co., Ltd., Shanghai 200062, China
*Correspondence to: Xie HB, E-mail: hbxie@phy.ecnu.edu.cn. Yang G, E-mail: gyang@phy.ecnu.edu.cn
Conflicts of interest None.
| ACKNOWLEDGMENTS This research was supported by Key Program of National Natural Science Foundation of China No. 61731009 |
| Received 2018-04-13 |
| Accepted 2018-05-20 |
| DOI: 10.12015/issn.1674-8034.2018.07.009 |
| DOI:10.12015/issn.1674-8034.2018.07.009. |
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