Abstract
A scatter correction technique based on artificial neural networks is presented. The technique utilizes the acquisition of a conventional digital radiographic image, couple with the acquisition of a multiple pencil beam ('micro-aperture') digital image. Image subtraction results in a sparsed sampled estimate of the scatter component in the image. The neural network is trained to develop a causal relationship between image data on the low-pass filtered open field image and the sparsely sampled scatter image, and then the trained network is used to correct the entire image (pixel by pixel) in a manner which is operationally similar to but potentially more powerful than convolution. The technique is described and is illustrated using clinical 'primary' component images combined with scatter component images that are realistically simulated using the results from previously reported Monte Carlo investigations. The results indicate that an accurate scatter correction can be realized using this technique.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | H.Roger Schneider |
| Place of Publication | Bellingham, WA, United States |
| Publisher | Publ by Int Soc for Optical Engineering |
| Pages | 462-471 |
| Number of pages | 10 |
| Volume | 1231 |
| ISBN (Print) | 0819402753 |
| State | Published - 1990 |
| Externally published | Yes |
| Event | Medical Imaging IV: Image Foundation - Newport Beach, CA, USA Duration: Feb 4 1990 → Feb 6 1990 |
Other
| Other | Medical Imaging IV: Image Foundation |
|---|---|
| City | Newport Beach, CA, USA |
| Period | 2/4/90 → 2/6/90 |
Fingerprint
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
Neural network scatter correction technique for digital radiography. / Boone, John M; Seibert, J Anthony.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / H.Roger Schneider. Vol. 1231 Bellingham, WA, United States : Publ by Int Soc for Optical Engineering, 1990. p. 462-471.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Neural network scatter correction technique for digital radiography
AU - Boone, John M
AU - Seibert, J Anthony
PY - 1990
Y1 - 1990
N2 - A scatter correction technique based on artificial neural networks is presented. The technique utilizes the acquisition of a conventional digital radiographic image, couple with the acquisition of a multiple pencil beam ('micro-aperture') digital image. Image subtraction results in a sparsed sampled estimate of the scatter component in the image. The neural network is trained to develop a causal relationship between image data on the low-pass filtered open field image and the sparsely sampled scatter image, and then the trained network is used to correct the entire image (pixel by pixel) in a manner which is operationally similar to but potentially more powerful than convolution. The technique is described and is illustrated using clinical 'primary' component images combined with scatter component images that are realistically simulated using the results from previously reported Monte Carlo investigations. The results indicate that an accurate scatter correction can be realized using this technique.
AB - A scatter correction technique based on artificial neural networks is presented. The technique utilizes the acquisition of a conventional digital radiographic image, couple with the acquisition of a multiple pencil beam ('micro-aperture') digital image. Image subtraction results in a sparsed sampled estimate of the scatter component in the image. The neural network is trained to develop a causal relationship between image data on the low-pass filtered open field image and the sparsely sampled scatter image, and then the trained network is used to correct the entire image (pixel by pixel) in a manner which is operationally similar to but potentially more powerful than convolution. The technique is described and is illustrated using clinical 'primary' component images combined with scatter component images that are realistically simulated using the results from previously reported Monte Carlo investigations. The results indicate that an accurate scatter correction can be realized using this technique.
UR - http://www.scopus.com/inward/record.url?scp=0025664923&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0025664923&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0025664923
SN - 0819402753
VL - 1231
SP - 462
EP - 471
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Schneider, H.Roger
PB - Publ by Int Soc for Optical Engineering
CY - Bellingham, WA, United States
ER -