Paper Info
Title
An analysis of muscles from ultrasound image using morphological information of fascia and thoracic vertebra.
Abstract
In this paper, we propose a new fully computerized image analysis method for measuring the thickness of muscles from ultrasound image obtained by muscle endurance test using morphological information of fascia and thoracic vertebra. Firstly, we divide the image into lumbar region and thoracolumbar region by the difference of density in image for measuring the thickness of muscles. In lumbar region, we notice that the intensity of fascia is relatively higher than other parts. Thus, we measure the thickness of muscles surrounding the fascia area. In the process, we apply median filter to candidate fascia areas for extracting candidate muscle layers between fascias. Then, the thickness of muscles we measure is that of the third layer. In thoracolumbar region, we apply region expansion method for classifying the region into subcutaneous fat part and part including thoracic vertebra. Then, we apply counting method and evolutionary computation search model to find the measuring location that is in between subcutaneous fat area and thoracic vertebra. In experiment, the proposed method is effective in measuring the thickness of muscles and avoids failures of previous studies. The performance of this approach is sufficiently comparable to that of medical experts.
Year
DOI
Venue
2014
10.1007/s11042-013-1773-5
Multimedia Tools Appl.
Keywords
Field
DocType
Muscles analysis, Ultrasound image, Fascia, Thoracic vertebra
Muscle endurance,Computer vision,Anatomy,Median filter,Thoracolumbar Region,Computer science,Fascia (architecture),Lumbar,Artificial intelligence,Fascia,Thoracic vertebrae,Ultrasound image
Journal
Volume
Issue
ISSN
71
2
1573-7721
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
kwangbaek kim111043.94
Hyun Jun Park223.08
Gwang-Ha Kim300.34