Automatability and validity of methods for the quantification of intra-/Intermuscular adipose tissue in conventional MRI: a systematic review

This systematic review highlights gaps in validation and automation of IMAT/IMF quantification methods using conventional MRI sequences. We provide guidance for researchers and clinicians aiming to implement these techniques in routine assessments. Transitioning from qualitative to quantitative MRI assessments requires standardization and automation to improve reproducibility and clinical applicability. Automation plays a key role in integrating these methods into clinical workflows, reducing manual effort, and increasing efficiency. By fostering the development of computer-aided solutions, this review supports the advancement of reliable and accessible IMAT/IMF quantification methods that have the potential to transform musculoskeletal imaging and patient care.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-11-21
DOI
https://doi.org/10.1186/s12880-025-02037-w
Primary Topic
Bone and Joint Diseases
Type
article
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article

Automatability and validity of methods for the quantification of intra-/Intermuscular adipose tissue in conventional MRI: a systematic review

Birte Glimm, Michael Münz, Hans‐Joachim Wilke, Alicia Pirwass
BMC Medical Imaging
Bone and Joint Diseases
article

Automatability and validity of methods for the quantification of intra-/Intermuscular adipose tissue in conventional MRI: a systematic review

Birte Glimm, Michael Münz, Hans‐Joachim Wilke, Alicia Pirwass
article en

Abstract

This systematic review highlights gaps in validation and automation of IMAT/IMF quantification methods using conventional MRI sequences. We provide guidance for researchers and clinicians aiming to implement these techniques in routine assessments. Transitioning from qualitative to quantitative MRI assessments requires standardization and automation to improve reproducibility and clinical applicability. Automation plays a key role in integrating these methods into clinical workflows, reducing manual effort, and increasing efficiency. By fostering the development of computer-aided solutions, this review supports the advancement of reliable and accessible IMAT/IMF quantification methods that have the potential to transform musculoskeletal imaging and patient care.

BMC Medical ImagingVol. 25(1)
Universität Ulm (DE), Helmholtz-Institute Ulm (DE), University Hospital Ulm (DE), Technische Hochschule Ulm (DE)
Openalex Percentile: Top 55%
Bone and Joint Diseases
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Automatability and validity of methods for the quantification of intra-/Intermuscular adipose tissue in conventional MRI: a systematic review — Birte Glimm, Michael Münz, et al. · BMC Medical Imaging (2025) | TGRS Research Map | TGRS