A markerless tiling method for tracking daily lung tumor motion on imperfectly matched images

Timothy Rozario; Sergey Bereg; Weihua Mao

doi:10.1145/2674396.2674438

A markerless tiling method for tracking daily lung tumor motion on imperfectly matched images

Timothy Rozario, Sergey Bereg, Weihua Mao

Radiation Oncology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1145/2674396.2674438
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

Access to Document

10.1145/2674396.2674438

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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, 7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014, Rhodes, Greece, 5/27/14. https://doi.org/10.1145/2674396.2674438

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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.",

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N2 - 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.

AB - 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.

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KW - Radiotherapy

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