Program Information
Cherenkov Video for Patient Positioning Validation and Movement Tracking During External Beam Radiation Therapy
R Zhang1*, J Andreozzi2 , D Gladstone3 , W Hitchcock4 , A Glaser5 , S Jiang6 , B Pogue7 , L Jarvis8 , (1) Dartmouth College, Hanover, NH, (2) Dartmouth College, Hanover, NH, (3) Dartmouth Hitchcock-Medical Center, Hanover, NH, (4) Dartmouth-Hitchcock Medical Center, City Of Lebanon, NH, (5) ,,,(6) Dartmouth College, Hanover, NH, (7) Dartmouth College, Hanover, NH, (8) Dartmouth-Hitchcock Medical Center, City Of Lebanon, New Hampshire
Presentations
TH-AB-204-3 (Thursday, July 16, 2015) 7:30 AM - 9:30 AM Room: 204
Purpose:
To investigate the positional accuracy possible with real time Cherenkov video imaging based patient positioning and movement tracking during EBRT.
Methods:
In a phase 1 clinical trial, including 12 patients undergoing post-lumpectomy whole breast irradiation, Cherenkov emission was imaged with a time-gated ICCD camera synchronized to the LINAC pulse output, during different fractions of the treatment. Patients were positioned with the aid of the AlignRT system. Inter-fraction setup variation was studied by rigid image registrations between images acquired at individual treatments to the average image from all imaged treatment fractions. The amplitude of respiratory motion was calculated from the registration of each frame of Cherenkov images to the reference. A Canny edge detection algorithm was utilized to highlight the beam field edges and biological features provided by major blood vessels apparent in the images.
Results:
Real-time Cherenkoscopy could monitor the treatment delivery, patient motion and alignment of the beam edge to the treatment region simultaneously. For all the imaged fractions, the patient positioning errors were within our clinical tolerances (3 mm in shifts and 3 degree in pitch angle rotation), with 4.60% exceeding no more than 1 mm in shifts. The averaged error of repetitive patient positioning was 1.2 mm in linear shift and 0.34 degrees in rotational pitch, consistent with the accuracy reported by the AlignRT system. The edge detection algorithm enhanced features such as field edges and blood vessels. Patient positioning errors and respiratory motion retrieved from rigid image registration were consistent with the edge enhanced images. Besides positioning errors caused by global inaccurate setups, edge enhanced blood vessels indicate the existence of deformations
Conclusion:
Real-time Cherenkoscopy imaging during EBRT is a novel imaging tool that can be used for treatment monitoring, patient positioning and motion tracking with approximately 1.2mm displacement and 0.34 degree rotational accuracy.
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