Correlation of lung tumor motion with external surrogate indicators of respiration

Hoisak, Jeremy; Sixel, Katharina E.; Tirona, R.; Cheung, Patrick; Pignol, Jean-Philippe

doi:10.1016/j.ijrobp.2004.07.681

Cited by 293 publications

(303 citation statements)

References 27 publications

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“…Accordingly, Ernst et al 24 , 25 evaluated respiratory motion traces for an average duration of 71 min. However, previous assumptions of periodic breathing motions have not necessarily included variations in breathing patterns, such as different amplitudes and cycles 22 , 26 , 27 . In this study, we generated a correlation model between fiducial and infrared markers, but did not update the model.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of tracking accuracy of the CyberKnife system using a webcam and printed calibrated grid

Sumida

Shiomi

Higashinaka³

et al. 2016

J Applied Clin Med Phys

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Tracking accuracy for the CyberKnife's Synchrony system is commonly evaluated using a film‐based verification method. We have evaluated a verification system that uses a webcam and a printed calibrated grid to verify tracking accuracy over three different motion patterns. A box with an attached printed calibrated grid and four fiducial markers was attached to the motion phantom. A target marker was positioned at the grid's center. The box was set up using the other three markers. Target tracking accuracy was evaluated under three conditions: 1) stationary; 2) sinusoidal motion with different amplitudes of 5, 10, 15, and 20 mm for the same cycle of 4 s and different cycles of 2, 4, 6, and 8 s with the same amplitude of 15 mm; and 3) irregular breathing patterns in six human volunteers breathing normally. Infrared markers were placed on the volunteers’ abdomens, and their trajectories were used to simulate the target motion. All tests were performed with one‐dimensional motion in craniocaudal direction. The webcam captured the grid's motion and a laser beam was used to simulate the CyberKnife's beam. Tracking error was defined as the difference between the grid's center and the laser beam. With a stationary target, mean tracking error was measured at 0.4 mm. For sinusoidal motion, tracking error was less than 2 mm for any amplitude and breathing cycle. For the volunteers’ breathing patterns, the mean tracking error range was 0.78‐1.67 mm. Therefore, accurate lesion targeting requires individual quality assurance for each patient.PACS number(s): 87.55.D‐, 87.55.km, 87.55.Qr, 87.56.Fc

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Section: Discussionmentioning

confidence: 99%

Evaluation of tracking accuracy of the CyberKnife system using a webcam and printed calibrated grid

Sumida

Shiomi

Higashinaka³

et al. 2016

J Applied Clin Med Phys

View full text Add to dashboard Cite

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“…Interfraction baseline variations have been shown to have a standard deviation of Â4 mm [34], and amplitude variations have been shown to be slightly smaller [11] although still of a substantial magnitude. Intrafractional baseline and amplitude variations are also reported [11,16], and phase shift variations can be as large as several tenths of seconds intra-and inter-fractionally [16,7]. Some examples of synchronous external surrogate and tumour motion measurements are shown in Figure 3 (from [17]).…”

Section: Respiratory Gating For Lung Tumour Radiotherapymentioning

confidence: 90%

“…With a (good) choice of surrogate, there will be a correlation between the surrogate and the actual tumour motion, however the correlation will not be ideal, and it will not be stable over time [16,7]. The use of beam gating assumes knowledge of the tumour position, although the systems act on surrogates, and it is therefore mandatory to employ image guidance to establish the correlation between the surrogate and the tumour motions.…”

Section: Respiratory Gating For Lung Tumour Radiotherapymentioning

confidence: 99%

The role of image guidance in respiratory gated radiotherapy

et al. 2008

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“…5,6 Using an external surrogate signal alone may however provide insufficient tumor position information as it has been shown that the correlation between external surrogate signal and tumor motion can be unstable over the course of a treatment fraction. 7,8 A real-time markerless template matching technique was developed for tracking lung tumor motion on fluoroscopic kV images. 9 A classification algorithm has been proposed to track soft tissue motion without fiducial markers in kV fluoroscopic images.…”

Section: Introductionmentioning

confidence: 99%

Real‐time soft tissue motion estimation for lung tumors during radiotherapy delivery

2013

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Purpose: To provide real-time lung tumor motion estimation during radiotherapy treatment delivery without the need for implanted fiducial markers or additional imaging dose to the patient. Methods: 2D radiographs from the therapy beam's-eye-view (BEV) perspective are captured at a frame rate of 12.8 Hz with a frame grabber allowing direct RAM access to the image buffer. An in-house developed real-time soft tissue localization algorithm is utilized to calculate soft tissue displacement from these images in real-time. The system is tested with a Varian TX linear accelerator and an AS-1000 amorphous silicon electronic portal imaging device operating at a resolution of 512 × 384 pixels. The accuracy of the motion estimation is verified with a dynamic motion phantom. Clinical accuracy was tested on lung SBRT images acquired at 2 fps. Results: Real-time lung tumor motion estimation from BEV images without fiducial markers is successfully demonstrated. For the phantom study, a mean tracking error <1.0 mm [root mean square (rms) error of 0.3 mm] was observed. The tracking rms accuracy on BEV images from a lung SBRT patient (≈20 mm tumor motion range) is 1.0 mm. Conclusions:The authors demonstrate for the first time real-time markerless lung tumor motion estimation from BEV images alone. The described system can operate at a frame rate of 12.8 Hz and does not require prior knowledge to establish traceable landmarks for tracking on the fly. The authors show that the geometric accuracy is similar to (or better than) previously published markerless algorithms not operating in real-time.

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Correlation of lung tumor motion with external surrogate indicators of respiration

Cited by 293 publications

References 27 publications

Evaluation of tracking accuracy of the CyberKnife system using a webcam and printed calibrated grid

Evaluation of tracking accuracy of the CyberKnife system using a webcam and printed calibrated grid

The role of image guidance in respiratory gated radiotherapy

Real‐time soft tissue motion estimation for lung tumors during radiotherapy delivery

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