Abstract
In order to locate lung tumors on projection images without internal markers, digitally reconstructed radiograph (DRR) is created and compared with projection images. Since lung tumors always move and their locations change on projection images while they are static on DRRs, a special DRR (background DRR) is generated based on modified anatomy from which lung tumors are removed. In addition, global discrepancies exist between DRRs and projections due to their different image orientations, scattering, and noises. This adversely affects comparison accuracy. A simple but efficient comparison algorithm is reported to match imperfectly matched projection images and DRRs.
| Original language | English (US) |
|---|---|
| Title of host publication | ACM International Conference Proceeding Series |
| Publisher | Association for Computing Machinery |
| Volume | 2014-May |
| ISBN (Print) | 9781450327466 |
| DOIs | |
| State | Published - May 27 2014 |
| Event | 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014 - Rhodes, Greece Duration: May 27 2014 → May 30 2014 |
Other
| Other | 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014 |
|---|---|
| Country | Greece |
| City | Rhodes |
| Period | 5/27/14 → 5/30/14 |
Keywords
- CBCT
- DRR
- KV
- Lung cancer
- Radiotherapy
- Tile-shifting
- Tumor tracking
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
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Cite this
Rozario, T., Bereg, S., & Mao, W. (2014). A markerless tiling method for tracking daily lung tumor motion on imperfectly matched images. In ACM International Conference Proceeding Series (Vol. 2014-May). Association for Computing Machinery. https://doi.org/10.1145/2674396.2674438