DocumentCode
1766873
Title
Study of skeletal muscle behavior by PET/MRI
Author
Juan, David Garcia ; Trombella, Sara ; Delattre, Benedicte M. A. ; Seimbille, Yann ; Ratib, Osman
Author_Institution
MSH Marie-Curie Funded Eur. Project, Univ. of Geneva, Geneva, Switzerland
fYear
2014
fDate
1-4 June 2014
Firstpage
61
Lastpage
64
Abstract
Increasingly aging population is leading to higher prevalence of musculoskeletal disorders and related muscular dysfunctions, requiring new types of functional investigations in daily clinical practice. Emerging non-invasive imaging techniques, such as hybrid PET/MRI, allow to visualize and to analyze the human body from the anatomical and metabolic point of view in a single scanning session. We aim to investigate both muscle anatomical behaviour by MRI and exercise-related changes in muscle functionality by PET/MRI and [11C]Acetate, in view to develop a model of normal resting and exercised muscle. The static and dynamic PET and MRI acquisition protocols that we developed are described. Dedicated processing techniques are defined for the generation and visualization of 4D datasets, including both anatomical and metabolic acquired data. This paper reports the technical framework and methodological approach developed as a first step in our research. Experimental data are being collected and will be included in future validation studies.
Keywords
biomedical MRI; bone; data acquisition; medical disorders; medical image processing; muscle; positron emission tomography; 4D dataset generation; 4D dataset visualization; PET-MRI acquisition protocols; [11C] acetate; aging population; anatomical acquired data; exercise-related changes; human body; metabolic acquired data; muscle anatomical behaviour; muscular dysfunctions; musculoskeletal disorders; noninvasive imaging techniques; processing techniques; single scanning session; skeletal muscle behavior; Educational institutions; Europe; Magnetic resonance imaging; Muscles; Positron emission tomography; Protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location
Valencia
Type
conf
DOI
10.1109/BHI.2014.6864304
Filename
6864304
Link To Document