Segmentation of muscle and skeletal tissues in HR-pQCT images

Autor:	Hechmi Toumi, Haykel Snoussi, Eric Lespessailles, T Janvier, Rachid Jennane
Rok vydání:	2017
Předmět:	medicine.medical_specialty medicine.diagnostic_test business.industry Osteoporosis Image segmentation musculoskeletal system medicine.disease Skeletal tissue medicine Medical imaging Segmentation Radiology Quantitative computed tomography business human activities
Zdroj:	2017 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART).
DOI:	10.1109/biosmart.2017.8095348
Popis:	High-Resolution peripheral Quantitative Computed Tomography (HR-pQCT) is currently used to quantify bone microstructure but as a CT modality there is potential to exploit its power to measure muscle tissues as well. Currently, there is no established protocol for assessing muscle parameters using HR-pQCT images. The aim of this work is to propose a new approach to segment muscle, fat and bone tissues to assist Physicians and Researchers to examine the feasibility of using HR-pQCT images to assess muscle quality in at-fracture risk patients. Preliminary obtained results show that HR-pQCT images can be used to evaluate the segmentation of muscle and skeletal tissues.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::11e56d04638a27af588288ff35aa6c5d https://doi.org/10.1109/biosmart.2017.8095348 Zobrazit plný text záznamu