Standardised convolutional filtering for radiomics
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arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2020
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| _version_ | 1866911772229763072 |
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| author | Depeursinge, Adrien Andrearczyk, Vincent Whybra, Philip van Griethuysen, Joost Müller, Henning Schaer, Roger Vallières, Martin Zwanenburg, Alex |
| author_facet | Depeursinge, Adrien Andrearczyk, Vincent Whybra, Philip van Griethuysen, Joost Müller, Henning Schaer, Roger Vallières, Martin Zwanenburg, Alex |
| contents | The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of radiomics studies by standardising the computational process of extracting image biomarkers (features) from images. We have previously established reference values for 169 commonly used features, created a standard radiomics image processing scheme, and developed reporting guidelines for radiomic studies. However, several aspects are not standardised. Here we present a complete version of a reference manual on the use of convolutional filters in radiomics and quantitative image analysis. Filters, such as wavelets or Laplacian of Gaussian filters, play an important part in emphasising specific image characteristics such as edges and blobs. Features derived from filter response maps were found to be poorly reproducible. This reference manual provides definitions for convolutional filters, parameters that should be reported, reference feature values, and tests to verify software compliance with the reference standard. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2006_05470 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Standardised convolutional filtering for radiomics Depeursinge, Adrien Andrearczyk, Vincent Whybra, Philip van Griethuysen, Joost Müller, Henning Schaer, Roger Vallières, Martin Zwanenburg, Alex Image and Video Processing Computer Vision and Pattern Recognition 68U10 (Primary) 68T45 (Secondary) I.4.7; J.3 The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of radiomics studies by standardising the computational process of extracting image biomarkers (features) from images. We have previously established reference values for 169 commonly used features, created a standard radiomics image processing scheme, and developed reporting guidelines for radiomic studies. However, several aspects are not standardised. Here we present a complete version of a reference manual on the use of convolutional filters in radiomics and quantitative image analysis. Filters, such as wavelets or Laplacian of Gaussian filters, play an important part in emphasising specific image characteristics such as edges and blobs. Features derived from filter response maps were found to be poorly reproducible. This reference manual provides definitions for convolutional filters, parameters that should be reported, reference feature values, and tests to verify software compliance with the reference standard. |
| title | Standardised convolutional filtering for radiomics |
| topic | Image and Video Processing Computer Vision and Pattern Recognition 68U10 (Primary) 68T45 (Secondary) I.4.7; J.3 |
| url | https://arxiv.org/abs/2006.05470 |