Radiation therapy using state-of-the-art helical tomotherapy treatment is largely automatic after the doctor creates the dosage plan. The system currently has no method to detect if the patient moves out of alignment during treatment, a capability that could improve treatment accuracy. This cross disciplinary project combines the fields of computer vision with medical physics. The creation of a minimally invasive, vision-based, total-body tracker that can interact with the helical tomotherapy system to detect when a patient becomes misaligned has been explored. The tolerances are tight, by measuring when the patient moves just out of alignment, the uncertainty in radiation dose delivery can be greatly reduced. A stereoscopic vision system uses infrared reflective markers to track the patient. Using these data points, boney structures, such as the head, can be tracked independently, providing roll, pitch, and yaw information about their pose. Initial results compared vision-based patient-positioning tolerances with those of traditional megavoltage CT-scans. Simulation-based results have explored the efficacy of tracking large portions of the patient’s body.
Skip Nav Destination
Article navigation
Design Of Medical Devices Conference Abstracts
Vision-Based Patient Body Tracking in Helical Tomotherapy
Nathaniel Bird,
Nathaniel Bird
University of Minnesota
, Minneapolis, MN, USA
Search for other works by this author on:
Troy Dos Santos,
Troy Dos Santos
University of Minnesota
, Minneapolis, MN, USA
Search for other works by this author on:
Susanta Hui,
Susanta Hui
University of Minnesota
, Minneapolis, MN, USA
Search for other works by this author on:
Nikolaos Papanikolopoulos
Nikolaos Papanikolopoulos
University of Minnesota
, Minneapolis, MN, USA
Search for other works by this author on:
Nathaniel Bird
University of Minnesota
, Minneapolis, MN, USA
Troy Dos Santos
University of Minnesota
, Minneapolis, MN, USA
Susanta Hui
University of Minnesota
, Minneapolis, MN, USA
Nikolaos Papanikolopoulos
University of Minnesota
, Minneapolis, MN, USAJ. Med. Devices. Jun 2008, 2(2): 027507 (1 pages)
Published Online: June 11, 2008
Article history
Published:
June 11, 2008
Citation
Bird, N., Santos, T. D., Hui, S., and Papanikolopoulos, N. (June 11, 2008). "Vision-Based Patient Body Tracking in Helical Tomotherapy." ASME. J. Med. Devices. June 2008; 2(2): 027507. https://doi.org/10.1115/1.2932435
Download citation file:
494
Views
Get Email Alerts
Cited By
Related Articles
A Novel Translational Total Body Irradiation Technique
J. Med. Devices (September,2010)
A Breakthrough From an Unexpected Corner: Turning an Old Technology Into a Paradigm Shift
J. Med. Devices (June,2010)
Synthesis of Silica-Coated Iron Oxide Nanoparticles for Magnetic Resonance Contrast Enhancement and Thermal Therapies
J. Med. Devices (June,2011)
Applicability of the Dose Spiking Electron Paramagnetic Resonance Method for the Quantitative Measurements of Low Doses in Alanine Dosimetry
ASME J of Nuclear Rad Sci (January,2023)
Related Proceedings Papers
Related Chapters
Validation of Elekta iViewGT A-Si EPID Model for Pre-Treatment Dose Verification of IMRT Fields
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Insight into Automated Segmentation Using Deformable Registation in 4D Radiotherapy
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
Macropore Spatial Variability of CT-Measured Solute Transport Parameters
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20