Source:http://linkedlifedata.com/resource/pubmed/id/11163520
Switch to
| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1
|
| pubmed:dateCreated |
2001-2-22
|
| pubmed:abstractText |
Virtual simulation (VS) of radiotherapy uses CT data. Digitally reconstructed radiographs (DRRs) are a critical element of this process, and the quality of these images is frequently suboptimal. We present techniques to improve DRR quality for clinical purposes. The results of two approaches to DRR optimization are presented.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Jan
|
| pubmed:issn |
0360-3016
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:day |
1
|
| pubmed:volume |
49
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
231-9
|
| pubmed:dateRevised |
2004-11-17
|
| pubmed:meshHeading |
pubmed-meshheading:11163520-Algorithms,
pubmed-meshheading:11163520-Computer Simulation,
pubmed-meshheading:11163520-Humans,
pubmed-meshheading:11163520-Image Processing, Computer-Assisted,
pubmed-meshheading:11163520-Phantoms, Imaging,
pubmed-meshheading:11163520-Quality Control,
pubmed-meshheading:11163520-Radiography, Thoracic,
pubmed-meshheading:11163520-Tomography, X-Ray Computed
|
| pubmed:year |
2001
|
| pubmed:articleTitle |
A technique for optimization of digitally reconstructed radiographs of the chest in virtual simulation.
|
| pubmed:affiliation |
Longwood Radiation Oncology Center, Department of Radiation Oncology, Harvard Medical School, Boston, MA, USA. jkilloran@lroc.harvard.edu
|
| pubmed:publicationType |
Journal Article
|