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kV x-ray dual digital tomosynthesis for image guided lung SBRT
- Source :
- SPIE Proceedings.
- Publication Year :
- 2016
- Publisher :
- SPIE, 2016.
-
Abstract
- Two simulated sets of digital tomosynthesis images of the lungs, each acquired at a 90 degree angle from the other, with 19 projection images used for each set and SART iterative reconstructed, gives dual tomosynthesis slice image quality approaching that of spiral CT, and with a data acquisition time that is 3% of that of cone beam CT. This fast kV acquisition, should allow near real time tracking of lung tumors in patients receiving SBRT, based on a novel TumoTrakTM multi-source X-ray tube design. Until this TumoTrakTM prototype is completed over the next year, its projected performance was simulated from the DRR images created from a spiral CT data set from a lung cancer patient. The resulting dual digital tomosynthesis reconstructed images of the lung tumor were exceptional and approached that of the gold standard Feldkamp CT reconstruction of breath hold, diagnostic, spiral, multirow, CT data. The relative dose at 46 mAs was less than 10% of what it would have been if the digital tomosynthesis had been done at the 472 mAs of the CT data set. This is for a 0.77 fps imaging rate sufficient to resolve respiratory motion in many free breathing patients during SBRT. Such image guidance could decrease the magnitudes of targeting error margins by as much as 20 mm or more in the craniocaudal direction for lower lobe lesions while markedly reducing dose to normal lung, heart and other critical structures. These initial results suggest a wide range of topics for future work.
- Subjects :
- medicine.medical_specialty
Computer science
business.industry
Image quality
X-ray
Gold standard (test)
medicine.disease
Tomosynthesis
030218 nuclear medicine & medical imaging
Data set
03 medical and health sciences
0302 clinical medicine
Lower lobe
Normal lung
030220 oncology & carcinogenesis
medicine
Lung tumor
Medical physics
Lung cancer
Projection (set theory)
Nuclear medicine
business
Ct reconstruction
Subjects
Details
- ISSN :
- 0277786X
- Database :
- OpenAIRE
- Journal :
- SPIE Proceedings
- Accession number :
- edsair.doi...........4480ae3b37da48519f231f6553fb9729
- Full Text :
- https://doi.org/10.1117/12.2216437