SU-E-J-108: Template Matching Based On Multiple Templates Can Improve the Tumor Tracking Performance When There Is Large Tumor Deformation

2014 ◽  
Vol 41 (6Part8) ◽  
pp. 180-180
Author(s):  
X Shi ◽  
J Lin ◽  
T Diwanji ◽  
K Mooney ◽  
W D' Souza ◽  
...  
Keyword(s):  
Template Matching ◽  
Tracking Performance ◽  
Large Tumor ◽  
Tumor Tracking ◽  
Multiple Templates

scholarly journals A novel method for quantification of beam's-eye-view tumor tracking performance

2017 ◽  
Vol 44 (11) ◽  
pp. 5650-5659 ◽  
Author(s):  
Yue-Houng Hu ◽  
Marios Myronakis ◽  
Joerg Rottmann ◽  
Adam Wang ◽  
Daniel Morf ◽  
...  
Keyword(s):  
Tracking Performance ◽  
Tumor Tracking ◽  
Novel Method

scholarly journals PD-0464: Adaptive search area template matching for image-based lung tumor tracking

2015 ◽  
Vol 115 ◽  
pp. S228-S229
Author(s):  
P. Mercea ◽  
H. Teske ◽  
K. Giske ◽  
R. Bendl
Keyword(s):  
Template Matching ◽  
Lung Tumor ◽  
Adaptive Search ◽  
Search Area ◽  
Tumor Tracking

scholarly journals Development of a Margin Determination Framework for Tumor-Tracking Radiation Therapy With Intraoperatively Implanted Fiducial Markers

2021 ◽  
Vol 11 ◽  
Author(s):  
Jihun Kim ◽  
Min Cheol Han ◽  
Jee Suk Chang ◽  
Chae-Seon Hong ◽  
Kyung Hwan Kim ◽  
...  
Keyword(s):  
Template Matching ◽  
Lung Metastases ◽  
Target Volume ◽  
Tracking Algorithm ◽  
Stereotactic Ablative Radiotherapy ◽  
Fiducial Markers ◽  
Internal Target Volume ◽  
Tumor Tracking ◽  
Decision Supporting ◽  
Optimal Set

PurposeTo develop an internal target volume (ITV) margin determination framework (or decision-supporting framework) for treating multiple lung metastases using CyberKnife Synchrony with intraoperatively implanted fiducial markers (IIFMs). The feasibility of using non-ideally implanted fiducial markers (a limited number and/or far from a target) for tracking-based lung stereotactic ablative radiotherapy (SABR) was investigated.MethodsIn the developed margin determination framework, an optimal set of IIFMs was determined to minimize a tracking uncertainty-specific ITV (ITVtracking) margin (margin required to cover target-to-marker motion discrepancy), i.e., minimize the motion discrepancies between gross tumor volume (GTV) and the selected set of fiducial markers (FMs). The developed margin determination framework was evaluated in 17 patients with lung metastases. To automatically calculate the respiratory motions of the FMs, a template matching-based FM tracking algorithm was developed, and GTV motion was manually measured. Furthermore, during-treatment motions of the selected FMs were analyzed using log files and compared with those calculated using 4D CTs.ResultsFor 41 of 42 lesions in 17 patients (97.6%), an optimal set of the IIFMs was successfully determined, requiring an ITVtracking margin less than 5 mm. The template matching-based FM tracking algorithm calculated the FM motions with a sub-millimeter accuracy compared with the manual measurements. The patient respiratory motions during treatment were, on average, significantly smaller than those measured at simulation for the patient cohort considered.ConclusionUse of the developed margin determination framework employing CyberKnife Synchrony with a limited number of IIFMs is feasible for lung SABR.

Multiple-Object Tracking

2011 ◽  
Vol 58 (3) ◽  
pp. 196-200 ◽  
Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge
Keyword(s):  
Object Tracking ◽  
Cognitive Processes ◽  
Spatial Location ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Multiple Object

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.

Tracking performance as measured by time continuously on target.

1954 ◽  
Author(s):  
E. J. Archer ◽  
L. B. Wyckoff ◽  
F. G. Brown
Keyword(s):  
Tracking Performance
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