A Real-time Image Reconstruction System for Particle Treatment Planning Using Proton Computed Tomography (pCT)
| Autor: | M. Pankuch, Kirk L. Duffin, Caesar E. Ordoñez, Robert P. Johnson, George Coutrakon, Nicholas T. Karonis, Reinhard W. Schulte |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
Scanner cs.DC Computer science Radiography ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION FOS: Physical sciences Bioengineering Iterative reconstruction physics.med-ph 01 natural sciences 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Data acquisition Software 0103 physical sciences Medical imaging Computer vision Radiation treatment planning screening and diagnosis Modality (human–computer interaction) 010308 nuclear & particles physics business.industry Physics - Medical Physics 4.1 Discovery and preclinical testing of markers and technologies Detection Computer Science - Distributed Parallel and Cluster Computing Biomedical Imaging Medical Physics (physics.med-ph) Distributed Parallel and Cluster Computing (cs.DC) Artificial intelligence business 4.2 Evaluation of markers and technologies |
| Zdroj: | Physics Procedia. 90:193-199 |
| ISSN: | 1875-3892 |
| Popis: | Proton computed tomography (pCT) is a novel medical imaging modality for mapping the distribution of proton relative stopping power (RSP) in medical objects of interest. Compared to conventional X-ray computed tomography, where range uncertainty margins are around 3.5%, pCT has the potential to provide more accurate measurements to within 1%. This improved efficiency will be beneficial to proton-therapy planning and pre-treatment verification. A prototype pCT imaging device has recently been developed capable of rapidly acquiring low-dose proton radiographs of head-sized objects. We have also developed an advanced, fast image reconstruction software based on distributed computing that utilizes parallel processors and graphical processing units. The combination of fast data acquisition and fast image reconstruction will enable the availability of RSP images within minutes for use in clinical settings. The performance of our image reconstruction software has been evaluated using data collected by the prototype pCT scanner from several phantoms. Comment: Paper presented at Conference on the Application of Accelerators in Research and Industry, CAARI 2016, 30 October to 4 November 2016, Ft. Worth, TX, USA |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|