Clinical evaluation of a novel CT image reconstruction algorithm for direct dose calculations
| Autor: | Michel Öllers, Frank Verhaegen, Wouter van Elmpt, Brent van der Heyden, Andre Ritter |
|---|---|
| Přispěvatelé: | RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Promovendi ODB, Radiotherapie |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
lcsh:Medical physics. Medical radiology. Nuclear medicine
Radiation Dose calculation business.industry Computer science medicine.medical_treatment lcsh:R895-920 Iterative reconstruction lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens lcsh:RC254-282 Imaging phantom 030218 nuclear medicine & medical imaging Radiation therapy 03 medical and health sciences 0302 clinical medicine 030220 oncology & carcinogenesis Hounsfield scale Calibration medicine Radiology Nuclear Medicine and imaging Nuclear medicine business Projection (set theory) Energy (signal processing) Biomedical engineering |
| Zdroj: | Physics and Imaging in Radiation Oncology, Vol 2, Iss, Pp 11-16 (2017) Physics & Imaging in Radiation Oncology, 2, 11-16. Elsevier Ireland Ltd |
| ISSN: | 2405-6316 |
| Popis: | Background and purpose: Computed tomography (CT) imaging is frequently used in radiation oncology to calculate radiation dose distributions. In order to calculate doses, the CT numbers must be converted into densities by an energy dependent conversion curve. A recently developed algorithm directly reconstructs CT projection data into relative electron densities which eliminates the use of separate conversion curves for different X-ray tube potentials. Our work evaluates this algorithm for various cancer sites and shows its applicability in a clinical workflow. Materials and methods: The Gammex phantom with tissue mimicking inserts was scanned to characterize the CT number to density conversion curves. In total, 33 patients with various cancer sites were scanned using multiple tube potentials. All CT acquisitions were reconstructed with the standard filtered back-projection (FBP) and the new developed DirectDensity⢠(DD) algorithm. The mean tumor doses and the volume percentage that receives more than 95% of the prescribed dose were calculated for the planning target volume. Relevant parameters for the organs at risk for each tumor site were also calculated. Results: The relative mean dose differences between the standard 120 kVp FBP CT scan workflow and the DD CT scans (80, 100, 120 and 140 kVp) were in general less than 1% for the planned target volume and organs at risk. Conclusion: The energy independent DD algorithm allows for accurate dose calculations over a variety of body sites. This novel algorithm eliminates the tube potential specific calibration procedure and thereby simplifies the clinical radiotherapy workflow. Keywords: CT imaging, Image reconstruction, Dose calculations, Electron density reconstruction |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|