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https://doi.org/10.21256/zhaw-19849| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms |
| Authors: | Juchler, Norman Schilling, Sabine Glüge, Stefan Bijlenga, Philippe Rüfenacht, Daniel Kurtcuoglu, Vartan Hirsch, Sven |
| et. al: | No |
| DOI: | 10.1080/21681163.2020.1728579 10.21256/zhaw-19849 |
| Published in: | Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization |
| Volume(Issue): | 8 |
| Issue: | 5 |
| Page(s): | 538 |
| Pages to: | 546 |
| Issue Date: | 17-Mar-2020 |
| Publisher / Ed. Institution: | Taylor & Francis |
| ISSN: | 2168-1163 2168-1171 |
| Language: | English |
| Subjects: | Intracranial aneurysm; Morphology; Radiomics; Multi-rater assessment |
| Subject (DDC): | 616.8: Neurology, diseases of nervous system |
| Abstract: | The morphological assessment of anatomical structures is clinically relevant, but often falls short of quantitative or standardised criteria. Whilst human observers are able to assess morphological characteristics qualitatively, the development of robust shape features remains challenging. In this study, we employ psychometric and radiomic methods to develop quantitative models of the perceived irregularity of intracranial aneurysms (IAs). First, we collect morphological characteristics (e.g. irregularity, asymmetry) in imaging-derived data and aggregated the data using rank-based analysis. Second, we compute regression models relating quantitative shape features to the aggregated qualitative ratings (ordinal or binary). We apply our method for quantifying perceived shape irregularity to a dataset of 134 IAs using a pool of 179 different shape indices. Ratings given by 39 participants show good agreement with the aggregated ratings (Spearman rank correlation ρSp=0.84). The best-performing regression model based on quantitative shape features predicts the perceived irregularity with R2:0.84±0.05. |
| Further description: | This is an Accepted Manuscript of an article published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization on 17.03.2020, available online: https://www.tandfonline.com/doi/full/10.1080/21681163.2020.1728579 |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19849 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Restricted until: | 2021-03-18 |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
| Published as part of the ZHAW project: | AneuX |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_Juchler_etal_Radiomics_Computer-Methods-in-Biomechanics.pdf | Accepted Version | 1.38 MB | Adobe PDF |  View/Open |
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Juchler, N., Schilling, S., Glüge, S., Bijlenga, P., Rüfenacht, D., Kurtcuoglu, V., & Hirsch, S. (2020). Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms. Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization, 8(5), 538–546. https://doi.org/10.1080/21681163.2020.1728579
Juchler, N. et al. (2020) ‘Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms’, Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization, 8(5), pp. 538–546. Available at: https://doi.org/10.1080/21681163.2020.1728579.
N. Juchler et al., “Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms,” Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization, vol. 8, no. 5, pp. 538–546, Mar. 2020, doi: 10.1080/21681163.2020.1728579.
JUCHLER, Norman, Sabine SCHILLING, Stefan GLÜGE, Philippe BIJLENGA, Daniel RÜFENACHT, Vartan KURTCUOGLU und Sven HIRSCH, 2020. Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms. Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization. 17 März 2020. Bd. 8, Nr. 5, S. 538–546. DOI 10.1080/21681163.2020.1728579
Juchler, Norman, Sabine Schilling, Stefan Glüge, Philippe Bijlenga, Daniel Rüfenacht, Vartan Kurtcuoglu, and Sven Hirsch. 2020. “Radiomics Approach to Quantify Shape Irregularity from Crowd-Based Qualitative Assessment of Intracranial Aneurysms.” Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization 8 (5): 538–46. https://doi.org/10.1080/21681163.2020.1728579.
Juchler, Norman, et al. “Radiomics Approach to Quantify Shape Irregularity from Crowd-Based Qualitative Assessment of Intracranial Aneurysms.” Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization, vol. 8, no. 5, Mar. 2020, pp. 538–46, https://doi.org/10.1080/21681163.2020.1728579.
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