Abstract
This work aims to make use of compressed sensing to exploit the redundant nature hidden in the image and reduce the computational complexity involved in DRR generation. As a result, radiation risk to the patient can be reduced whilst maintaining an acceptable level of accuracy thus resulting in speed-up in DRR generation using the multi-resolution approach compared to the conventional ray casting approach. Also in this research, different gradient based similarity metrics were compared on the basis of accuracy to achieve robustness against image content mismatch.
Original language | English |
---|---|
Title of host publication | 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 611-616 |
Number of pages | 6 |
ISBN (Electronic) | 9781538653142 |
DOIs | |
Publication status | Published - 30-11-2018 |
Event | 7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 - Bangalore, India Duration: 19-09-2018 → 22-09-2018 |
Conference
Conference | 7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 |
---|---|
Country | India |
City | Bangalore |
Period | 19-09-18 → 22-09-18 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
Cite this
}
Efficient Similarity Measurement between Digitally Reconstructed Radiograph and Fluoroscopy for 3D-2D Registration. / Chaitanya, B. H.Rao; Anitha, H.; Shyamasunder, N. Bhat; Bhat, Vidya.
2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 611-616 8554401.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Efficient Similarity Measurement between Digitally Reconstructed Radiograph and Fluoroscopy for 3D-2D Registration
AU - Chaitanya, B. H.Rao
AU - Anitha, H.
AU - Shyamasunder, N. Bhat
AU - Bhat, Vidya
PY - 2018/11/30
Y1 - 2018/11/30
N2 - This work aims to make use of compressed sensing to exploit the redundant nature hidden in the image and reduce the computational complexity involved in DRR generation. As a result, radiation risk to the patient can be reduced whilst maintaining an acceptable level of accuracy thus resulting in speed-up in DRR generation using the multi-resolution approach compared to the conventional ray casting approach. Also in this research, different gradient based similarity metrics were compared on the basis of accuracy to achieve robustness against image content mismatch.
AB - This work aims to make use of compressed sensing to exploit the redundant nature hidden in the image and reduce the computational complexity involved in DRR generation. As a result, radiation risk to the patient can be reduced whilst maintaining an acceptable level of accuracy thus resulting in speed-up in DRR generation using the multi-resolution approach compared to the conventional ray casting approach. Also in this research, different gradient based similarity metrics were compared on the basis of accuracy to achieve robustness against image content mismatch.
UR - http://www.scopus.com/inward/record.url?scp=85060045379&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060045379&partnerID=8YFLogxK
U2 - 10.1109/ICACCI.2018.8554401
DO - 10.1109/ICACCI.2018.8554401
M3 - Conference contribution
AN - SCOPUS:85060045379
SP - 611
EP - 616
BT - 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -