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Megavoltage Cone-beam Computed Tomography Using a High-efficiency Image Receptor by Ed J Seppi; Peter Munro; Stan W Johnsen; Ed G Shapiro; Carlo Tognina; Dan Jones; John M Pavkovich; Chris Webb; Ivan Mollov; Larry D Partain; Rick E Colbeth is a Medicine article available to read on EtoBox.
What is Megavoltage Cone-beam Computed Tomography Using a High-efficiency Image Receptor about?
## Purpose: To develop an image receptor capable of forming high-quality megavoltage ct images using modest radiation doses. ## Methods and materials: A flat-panel imaging system consisting of a conventional flat-panel sensor attached to a thick csi scintillator has been fabricated. the scintillator consists of individual csi crystals 8 mm thick by 0.38 mm x 0.38-mm pitch. five sides of each crystal are coated with a reflecting powder/epoxy mixture, and the sixth side is in contact with the flat-panel sensor. a timing interface coordinates acquisition by the imaging system and pulsing of the linear accelerator. with this interface, as little as one accelerator pulse (0.023 cgy at the isocenter) can be used to form projection images. different ct phantoms irradiated by a 6-mv x-ray beam have been imaged to evaluate the performance of the imaging system. the phantoms have been mounted on a rotating stage and rotated while 360 projection images are acquired in 48 s. these projections have been reconstructed using the feldkamp cone-beam ct reconstruction algorithm. ## Results and discussion: Using an irradiation of 16 cgy (360 projections x 0.046 cgy/projection), the contrast resolutio
Who reads Megavoltage Cone-beam Computed Tomography Using a High-efficiency Image Receptor?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Ed J Seppi; Peter Munro; Stan W Johnsen; Ed G Shapiro; Carlo Tognina; Dan Jones; John M Pavkovich; Chris Webb; Ivan Mollov; Larry D Partain; Rick E Colbeth
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0360-3016)
- Published
- 2003
- Language
- EN
- Field
- Medicine (Health Sciences)