Body composition analysis on computed tomography scans using easy-to-access segmentation software
[EN] Computed tomography (CT) is a direct and reference technique for body composition analysis with interesting possibilities in clinicalnutrition. Segmentation is the automatic or semi-automatic softwarebased process by which different metabolic tissues of interest (musclet issue, subcutaneous adi...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/422406 |
| Acceso en línea: | http://hdl.handle.net/10261/422406 https://api.elsevier.com/content/abstract/scopus_id/105030957416 |
| Access Level: | acceso abierto |
| Palabra clave: | Computed tomography Body composition Software Artificial intelligence Tomografía computarizada Análisis de composición corporal Inteligencia artificial |
| Sumario: | [EN] Computed tomography (CT) is a direct and reference technique for body composition analysis with interesting possibilities in clinicalnutrition. Segmentation is the automatic or semi-automatic softwarebased process by which different metabolic tissues of interest (musclet issue, subcutaneous adipose tissue, visceral adipose tissue andintermuscular adipose tissue) that are part of the current diagnoses of malnutrition, sarcopenia and sarcopenic obesity are delimited, separated and quantified. The Alberta protocol is the most common segmentation guide, being applicable in most software. In this paper, we review the main characteristics of the most common open-source segmentation software, their degree of agreement, and some precautions and limitations of this process. |
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