Publication:

Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms

Date

Date

Date
2020
Journal Article
Published version

Citations

Citation copied

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

Abstract

Abstract

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-derive

Additional indexing

Creators (Authors)

  • Juchler, Norman
    affiliation.icon.alt
  • Schilling, Sabine
    affiliation.icon.alt
  • Glüge, Stefan
    affiliation.icon.alt
  • Bijlenga, Philippe
    affiliation.icon.alt
  • Rüfenacht, Daniel
    affiliation.icon.alt
  • Hirsch, Sven
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
8

Number

Number

Number
5

Page range/Item number

Page range/Item number

Page range/Item number
538

Page end

Page end

Page end
546

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Radiology Nuclear Medicine and imaging, Computational Mechanics, Biomedical Engineering, Computer Science Applications

Language

Language

Language
English

Publication date

Publication date

Publication date
2020-09-02

Date available

Date available

Date available
2021-03-25

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2168-1163

OA Status

OA Status

OA Status
Green

Citations

Citation copied

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

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Files
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Files
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