| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8232627 | International Journal of Radiation Oncology*Biology*Physics | 2010 | 8 Pages |
Abstract
Our results establish the feasibility of inferring primary tumor and nodal motion from anatomical surrogates in 4D CT scans of Stage III lung cancer. Using inferential modeling to decrease the processing time of 4D CT scans may facilitate incorporation of patient-specific treatment margins.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Radiation
Authors
Kathleen T. M.S., Jason R. M.D., F.R.C.P.C., Suresh M.R.C.P., F.R.C.R., Ph.D., Thomas J. Ph.D., Warren D. Ph.D.,