loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Maria Evelina Fantacci 1 ; Guja Astrea 2 ; Roberta Battini 2 ; Alessandra Retico 3 ; Chiara Sottocornola 1 and Michela Tosetti 2

Affiliations: 1 Pisa University and Pisa Section of INFN, Italy ; 2 Stella Maris Scientific Institute, Italy ; 3 Pisa Section of INFN, Italy

Keyword(s): Muscle MRI, Neuromuscular Diseases, Muscle Segmentation.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Health Engineering and Technology Applications ; Image Processing Methods ; Magnetic Resonance Imaging ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics

Abstract: An automated method to evaluate the fat infiltration in tissues has been developed and applied to images of the human leg. The final aim is to obtain a quantitative evaluation of fat infiltration percentage and to relate it to the grade of muscle impairment in subjects affected by Neuro-Muscular Diseases (NMD). Through a muscle segmentation algorithm on structural T1-weighted magnetic resonance images (MRIs), the estimated non-muscle percentage (eNMP) in the segmented muscle area has been evaluated in healthy subjects as a reference value. A semi-automated procedure allows extending the algorithm to MRIs of NMD patients. A strong correlation has been demonstrated between the eNMP index and the disease severity.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.141.38.5

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Fantacci, M.; Astrea, G.; Battini, R.; Retico, A.; Sottocornola, C. and Tosetti, M. (2015). Quantitative Scoring of Muscle Involvement in MRI of Neuromuscular Diseases. In Proceedings of the International Conference on Bioimaging (BIOSTEC 2015) - BIOIMAGING; ISBN 978-989-758-072-7; ISSN 2184-4305, SciTePress, pages 100-105. DOI: 10.5220/0005255801000105

@conference{bioimaging15,
author={Maria Evelina Fantacci. and Guja Astrea. and Roberta Battini. and Alessandra Retico. and Chiara Sottocornola. and Michela Tosetti.},
title={Quantitative Scoring of Muscle Involvement in MRI of Neuromuscular Diseases},
booktitle={Proceedings of the International Conference on Bioimaging (BIOSTEC 2015) - BIOIMAGING},
year={2015},
pages={100-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005255801000105},
isbn={978-989-758-072-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioimaging (BIOSTEC 2015) - BIOIMAGING
TI - Quantitative Scoring of Muscle Involvement in MRI of Neuromuscular Diseases
SN - 978-989-758-072-7
IS - 2184-4305
AU - Fantacci, M.
AU - Astrea, G.
AU - Battini, R.
AU - Retico, A.
AU - Sottocornola, C.
AU - Tosetti, M.
PY - 2015
SP - 100
EP - 105
DO - 10.5220/0005255801000105
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic