Back to Search
Start Over
Technical Note: scuda: A software platform for cumulative dose assessment
- Source :
- Medical physics. 43(10)
- Publication Year :
- 2016
-
Abstract
- Purpose: Accurate tracking of anatomical changes and computation of actually delivered dose to the patient are critical for successful adaptive radiation therapy (ART). Additionally, efficient data management and fast processing are practically important for the adoption in clinic as ART involves a large amount of image and treatment data. The purpose of this study was to develop an accurate and efficient Software platform for CUmulative Dose Assessment (scuda) that can be seamlessly integrated into the clinical workflow. Methods: scuda consists of deformable image registration (DIR), segmentation, dose computation modules, and a graphical user interface. It is connected to our image PACS and radiotherapy informatics databases from which it automatically queries/retrieves patient images, radiotherapy plan, beam data, and daily treatment information, thus providing an efficient and unified workflow. For accurate registration of the planning CT and daily CBCTs, the authors iteratively correct CBCT intensities by matching local intensity histograms during the DIR process. Contours of the target tumor and critical structures are then propagated from the planning CT to daily CBCTs using the computed deformations. The actual delivered daily dose is computed using the registered CT and patient setup information by a superposition/convolution algorithm, and accumulated using the computed deformation fields. Both DIR and dose computation modules are accelerated by a graphics processing unit. Results: The cumulative dose computation process has been validated on 30 head and neck (HN) cancer cases, showing 3.5 ± 5.0 Gy (mean±STD) absolute mean dose differences between the planned and the actually delivered doses in the parotid glands. On average, DIR, dose computation, and segmentation take 20 s/fraction and 17 min for a 35-fraction treatment including additional computation for dose accumulation. Conclusions: The authors developed a unified software platform that provides accurate and efficient monitoring of anatomical changes and computation of actually delivered dose to the patient, thus realizing an efficient cumulative dose computation workflow. Evaluation on HN cases demonstrated the utility of our platform for monitoring the treatment quality and detecting significant dosimetric variations that are keys to successful ART.
- Subjects :
- medicine.medical_specialty
Cone beam computed tomography
Computer science
medicine.medical_treatment
Radiotherapy image guided
Image registration
Computed tomography
Scintigraphy
Radiation Dosage
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Software
medicine
Medical imaging
Image Processing, Computer-Assisted
Dosimetry
Humans
Segmentation
Medical physics
Computer vision
Adaptive radiotherapy
medicine.diagnostic_test
Cumulative dose
business.industry
Radiotherapy Planning, Computer-Assisted
Cancer
Radiotherapy Dosage
General Medicine
Image segmentation
Cone-Beam Computed Tomography
medicine.disease
Radiation therapy
Head and Neck Neoplasms
030220 oncology & carcinogenesis
COMPUTATIONAL AND EXPERIMENTAL DOSIMETRY
Artificial intelligence
business
Radiotherapy, Image-Guided
Subjects
Details
- ISSN :
- 24734209
- Volume :
- 43
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Medical physics
- Accession number :
- edsair.doi.dedup.....ea559d1f633a57c02aa1f71d2092cae9