Paper
18 March 2015 Dual-energy (MV/kV) CT with probabilistic attenuation mapping for IGRT applications
Erik Pearson, Xiaochuan Pan, Charles Pelizzari
Author Affiliations +
Abstract
Imaging plays an important role in the delivery of external beam radiation therapy. It is used to confirm the setup of the patient and to ensure accurate targeting and delivery of the therapeutic radiation dose. Most modern linear accelerators come equipped with a flat panel detector opposite the MV source as well as an independent kV imaging system, typically mounted perpendicular to the MV beam. kV imaging provides superior soft tissue contrast and is typically lower dose to the patient than MV imaging, however it can suffer from artifacts caused by metallic objects such as implants and immobilization devices. In addition to being less artifact prone, MV imaging also provides a direct measure of the attenuation for the MV beam which is useful for computing the therapeutic dose distributions. Furthermore either system requires a large angular coverage, which is slow for large linear accelerators. We present a method for reconstructing tomographic images from data acquired at multiple x-ray beam energies using a statistical model of inherent physical properties of the imaged object. This approach can produce image quality superior to traditional techniques in the case of limited measurement data (angular sampling range, sampling density or truncated projections) and/or conditions in which the lower energy image would typically suffer from corrupting artifacts such as the presence of metals in the object. Both simulation and real data results are shown.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Pearson, Xiaochuan Pan, and Charles Pelizzari "Dual-energy (MV/kV) CT with probabilistic attenuation mapping for IGRT applications", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94125M (18 March 2015); https://doi.org/10.1117/12.2082068
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Imaging systems

Signal attenuation

Metals

Data modeling

Dual energy imaging

Radiotherapy

Tissues

Back to Top