Details
| Original language | English |
|---|---|
| Title of host publication | World Congress on Medical Physics and Biomedical Engineering |
| Subtitle of host publication | Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics |
| Pages | 2000-2003 |
| Number of pages | 4 |
| Edition | 4 |
| Publication status | Published - 2009 |
| Event | World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany Duration: 7 Sept 2009 → 12 Sept 2009 |
Publication series
| Name | IFMBE Proceedings |
|---|---|
| Number | 4 |
| Volume | 25 |
| ISSN (Print) | 1680-0737 |
Abstract
Atherosclerosis is a very common disease that affects millions of people around the world. Currently most of the studies conducted on this disease use Ultrasound Imaging (IVUS) to observe plaque formation, but these images cannot provide any detailed information of the specific morphological features of the plaque. Microscopic imaging using a variety of stains can provide much more information although, in order to obtain proper results, millions of images must be analyzed. We provide an automatic way to find the Region of Interest (ROI) of these images, where the atherosclerotic plaque is formed. Once the image is well-segmented the amount of fat and other measurements of interest can also be determined automatically. A proper study of these images provides valuable information that can be key to understanding the evolution of atherosclerosis.
Keywords
- Automatic segmentation, ROI, Snakes, Splines, Statistical color model
ASJC Scopus subject areas
- Chemical Engineering(all)
- Bioengineering
- Engineering(all)
- Biomedical Engineering
Cite this
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World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. 4. ed. 2009. p. 2000-2003 (IFMBE Proceedings; Vol. 25, No. 4).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Automatic segmentation of arteries in multi-stain histology images
AU - Leal-Taixé, Laura
AU - Coskun, A. U.
AU - Rosenhahn, Bodo
AU - Brooks, D. H.
PY - 2009
Y1 - 2009
N2 - Atherosclerosis is a very common disease that affects millions of people around the world. Currently most of the studies conducted on this disease use Ultrasound Imaging (IVUS) to observe plaque formation, but these images cannot provide any detailed information of the specific morphological features of the plaque. Microscopic imaging using a variety of stains can provide much more information although, in order to obtain proper results, millions of images must be analyzed. We provide an automatic way to find the Region of Interest (ROI) of these images, where the atherosclerotic plaque is formed. Once the image is well-segmented the amount of fat and other measurements of interest can also be determined automatically. A proper study of these images provides valuable information that can be key to understanding the evolution of atherosclerosis.
AB - Atherosclerosis is a very common disease that affects millions of people around the world. Currently most of the studies conducted on this disease use Ultrasound Imaging (IVUS) to observe plaque formation, but these images cannot provide any detailed information of the specific morphological features of the plaque. Microscopic imaging using a variety of stains can provide much more information although, in order to obtain proper results, millions of images must be analyzed. We provide an automatic way to find the Region of Interest (ROI) of these images, where the atherosclerotic plaque is formed. Once the image is well-segmented the amount of fat and other measurements of interest can also be determined automatically. A proper study of these images provides valuable information that can be key to understanding the evolution of atherosclerosis.
KW - Automatic segmentation
KW - ROI
KW - Snakes
KW - Splines
KW - Statistical color model
UR - http://www.scopus.com/inward/record.url?scp=77950116676&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03882-2_531
DO - 10.1007/978-3-642-03882-2_531
M3 - Conference contribution
AN - SCOPUS:77950116676
SN - 9783642038815
T3 - IFMBE Proceedings
SP - 2000
EP - 2003
BT - World Congress on Medical Physics and Biomedical Engineering
T2 - World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Y2 - 7 September 2009 through 12 September 2009
ER -