<scp>XSIM</scp>: A structural similarity index measure optimized for <scp>MRI</scp> QSM

XSIM is recommended over traditional SSIM to evaluate QSM reconstructions against a known ground truth, as it avoids biasing and hacking effects and provides a larger dynamic range of scores.

Authors

Karin Shmueli (ORCID: https://orcid.org/0000-0001-7520-2975)
Javier Silva (ORCID: https://orcid.org/0000-0002-7276-9033)
Cristián Tejos (ORCID: https://orcid.org/0000-0002-8367-155X)
Carlos Milovic
Pablo Irarrázaval (ORCID: https://orcid.org/0000-0002-5186-2642)

Institutions

Pontificia Universidad Católica de Valparaíso (CL)
Pontificia Universidad Católica de Chile (CL)
Millennium Institute for Integrative Biology (CL)
University College London (GB)

Publication Details

Journal: Magnetic Resonance in Medicine
Published: 2024-08-23
DOI: https://doi.org/10.1002/mrm.30271
Citations: 10
Primary Topic: Advanced MRI Techniques and Applications
Type: article
Field-Weighted Citation Impact: 4.04

Funders

Cancer Research UK
Fondo Nacional de Desarrollo Científico y Tecnológico
H2020 European Research Council

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article

XSIM: A structural similarity index measure optimized for MRI QSM

Karin Shmueli, Javier Silva, Cristián Tejos, Carlos Milovic et al.

Aug 23, 2024

10 citations

Magnetic Resonance in Medicine

Advanced MRI Techniques and Applications

4.04

article

XSIM: A structural similarity index measure optimized for MRI QSM

Karin Shmueli, Javier Silva, Cristián Tejos, Carlos Milovic, Pablo Irarrázaval

August 23, 2024article en

10 citations

Abstract

XSIM is recommended over traditional SSIM to evaluate QSM reconstructions against a known ground truth, as it avoids biasing and hacking effects and provides a larger dynamic range of scores.

Magnetic Resonance in MedicineVol. 93(1)

Pontificia Universidad Católica de Valparaíso (CL), Pontificia Universidad Católica de Chile (CL), Millennium Institute for Integrative Biology (CL), University College London (GB)

Cancer Research UK, Fondo Nacional de Desarrollo Científico y Tecnológico, H2020 European Research Council

Peace, Justice and strong institutions

Openalex Percentile: Top 6%

Advanced MRI Techniques and Applications

4.04

DOI Source OpenAlex

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<scp>XSIM</scp>: A structural similarity index measure optimized for <scp>MRI</scp> QSM — Karin Shmueli, Javier Silva, et al. · Magnetic Resonance in Medicine (2024) | TGRS Research Map | TGRS