Performance of a video-image-subtraction-based patient positioning system

Milliken, B.; Rubin, Steven J.; Hamilton, Russell J.; Johnson, L. Scott; Chen, George T.Y.

doi:10.1016/s0360-3016(97)00081-3

Cited by 44 publications

(23 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Unfortunately, the speed at which changes to tumor size can be detected is still under debate; some studies have reported that the changes are not large enough to warrant daily observation. 3,4) A setup verification system, using video images, has received much attention from some researchers due to advantages including fast processing speed, simple system implementation ability, accurate processing ability, lack of additional radiation exposure, and so on. [4][5][6][7][8][9][10] These studies have been developed to achieve more-accurate results using three-dimensio- …”

Section: Figmentioning

confidence: 99%

Development of Video Image-Guided Setup (VIGS) System for Tomotherapy: Preliminary Study

Kim

Hong

et al. 2013

Prog Med Phys

View full text Add to dashboard Cite

At present, megavoltage computed tomography (MVCT) is the only method used to correct the position of tomotherapy patients. MVCT produces extra radiation, in addition to the radiation used for treatment, and repositioning also takes up much of the total treatment time. To address these issues, we suggest the use of a video image-guided setup (VIGS) system for correcting the position of tomotherapy patients. We developed an in-house program to correct the exact position of patients using two orthogonal images obtained from two video cameras installed at 90º and fastened inside the tomotherapy gantry. The system is programmed to make automatic registration possible with the use of edge detection of the user-defined region of interest (ROI). A head-and-neck patient is then simulated using a humanoid phantom. After taking the computed tomography (CT) image, tomotherapy planning is performed. To mimic a clinical treatment course, we used an immobilization device to position the phantom on the tomotherapy couch and, using MVCT, corrected its position to match the one captured when the treatment was planned. Video images of the corrected position were used as reference images for the VIGS system. First, the position was repeatedly corrected 10 times using MVCT, and based on the saved reference video image, the patient position was then corrected 10 times using the VIGS method. Thereafter, the results of the two correction methods were compared. The results demonstrated that patient positioning using a video-imaging method (41.7±11.2 seconds) significantly reduces the overall time of the MVCT method (420±6 seconds) (p＜0.05). However, there was no meaningful difference in accuracy between the two methods (x=0.11 mm, y=0.27 mm, z=0.58 mm, p＞0.05). Because VIGS provides a more accurate result and reduces the required time, compared with the MVCT method, it is expected to manage the overall tomotherapy treatment process more efficiently.

show abstract

Section: Figmentioning

confidence: 99%

Development of Video Image-Guided Setup (VIGS) System for Tomotherapy: Preliminary Study

Kim

Hong

et al. 2013

Prog Med Phys

View full text Add to dashboard Cite

show abstract

“…17 This image processing approach is relatively slow and requires the presence of "contrast-rich" surface features. Although not strictly a 3D technique, it does illustrate the accessible nature of continuous surface information in the radiotherapy treatment room.…”

Section: The Ct Virtual Shellmentioning

confidence: 99%

3D dynamic body surface sensing and CT-body matching: A tool for patient set-up and monitoring in radiotherapy

Moore

Graham

2000

Comput. Aided Surg.

View full text Add to dashboard Cite

Recent advances in radical broad-beam conformal radiotherapy for disease at non-rigid sites suggest that the treatment room set-up of patients should be performed using the CT-plan digital body surface as a reference standard. In effect, the CT-plan surface is a "virtual shell" and should be used as such. To do this requires 3D body surface information to be captured live in the treatment room and then manipulated for comparison with the CT virtual shell. To address this situation, a near real-time prototype opto-electronic dynamic 3D surface sensor has been developed and equipped with a novel software utility for visualizing and matching the disparate surfaces arising from planning and treatment environments. Using the CT virtual shell and height-maps produced by the sensor, a two-phase 3D positioning strategy for patient set-up and monitoring is described. Phase one is an image-guided manual "approach". Phase two is automated "docking" using simulated annealing to determine optimum set-up corrections. The concepts and implementation are illustrated using archival patient data and an anthropomorphic phantom "patient" in a treatment room environment.

show abstract

“…The video imaging positioning system, which is based on photogrammetric theory and computer vision technique, is a non-contact measurement means, and convenient, fast, realtime and accurate. Consequently, it is regarded as an effective way to take the place of the traditional positioning system [11,12].…”

Section: Introductionmentioning

confidence: 99%

Repeated positioning in accurate radiotherapy based on virtual net technique and contrary reconstruction scheme

Shen

Chen

et al. 2006

Computerized Medical Imaging and Graphics

View full text Add to dashboard Cite

Performance of a video-image-subtraction-based patient positioning system

Cited by 44 publications

References 14 publications

Development of Video Image-Guided Setup (VIGS) System for Tomotherapy: Preliminary Study

Development of Video Image-Guided Setup (VIGS) System for Tomotherapy: Preliminary Study

3D dynamic body surface sensing and CT-body matching: A tool for patient set-up and monitoring in radiotherapy

Repeated positioning in accurate radiotherapy based on virtual net technique and contrary reconstruction scheme

Contact Info

Product

Resources

About