Literature DB >> 30172457

Feasibility of markerless 3D position monitoring of the central airways using kilovoltage projection images: Managing the risks of central lung stereotactic radiotherapy.

Colien Hazelaar1, Lineke van der Weide2, Hassan Mostafavi3, Ben J Slotman4, Wilko F A R Verbakel5, Max Dahele6.   

Abstract

BACKGROUND AND
PURPOSE: Central lung stereotactic body radiotherapy (SBRT) can cause proximal bronchial tree (PBT) toxicity. Information on PBT position relative to the high-dose could aid risk management. We investigated template matching + triangulation for high-frequency markerless 3D PBT position monitoring.
MATERIALS AND METHODS: Kilovoltage projections of a moving phantom (full-fan cone-beam CT [CBCT, 15 frames/second] without MV irradiation: 889 images/dataset + CBCT and 7 frames/second fluoroscopy with MV irradiation) and ten patients undergoing free-breathing stereotactic/hypofractionated lung irradiation (full-fan CBCT without MV irradiation, 470-500 images/dataset) were retrospectively analyzed. 2D PBT reference templates (1 filtered digitally reconstructed radiograph/°) were created from planning CT data. Using normalized cross-correlation, templates were matched to projection images for 2D position. Multiple registrations were triangulated for 3D position.
RESULTS: For the phantom, 2D right/left PBT position could be determined in 86.6/75.1% of the CBCT dataset without MV irradiation, and 3D position (excluding first 20° due to the minimum triangulation angle) in 84.7/72.7%. With MV irradiation, this was up to 2% less. For right/left PBT, root-mean-square errors of measured versus "known" position were 0.5/0.8, 0.4-0.5/0.7, and 0.4/0.5-0.6 mm for left-right, superior-inferior, and anterior-posterior directions, respectively. 2D PBT position was determined in, on average, 89.8% of each patient dataset (range: 79.4-99.2%), and 3D position (excluding first 20°) in 85.1% (range: 67.9-99.6%). Motion was mainly superior-inferior (range: 4.5-13.6 mm, average: 8.5 mm).
CONCLUSIONS: High-frequency 3D PBT position verification during free-breathing is technically feasible using markerless template matching + triangulation of kilovoltage projection images acquired during gantry rotation. Applications include organ-at-risk position monitoring during central lung SBRT.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Intra-fraction motion; Lung tumor; Motion monitoring; Positional verification; Proximal bronchial tree; Tracking

Mesh:

Year:  2018        PMID: 30172457     DOI: 10.1016/j.radonc.2018.08.007

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  4 in total

1.  Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT).

Authors:  Wei Zhao; Bin Han; Yong Yang; Mark Buyyounouski; Steven L Hancock; Hilary Bagshaw; Lei Xing
Journal:  Radiother Oncol       Date:  2019-07-11       Impact factor: 6.280

2.  The markerless lung target tracking AAPM Grand Challenge (MATCH) results.

Authors:  Marco Mueller; Per Poulsen; Rune Hansen; Wilko Verbakel; Ross Berbeco; Dianne Ferguson; Shinichiro Mori; Lei Ren; John C Roeske; Lei Wang; Pengpeng Zhang; Paul Keall
Journal:  Med Phys       Date:  2021-12-29       Impact factor: 4.071

3.  Technical Note: 3D localization of lung tumors on cone beam CT projections via a convolutional recurrent neural network.

Authors:  Chuang Wang; Margie Hunt; Lei Zhang; Andreas Rimner; Ellen Yorke; Michael Lovelock; Xiang Li; Tianfang Li; Gig Mageras; Pengpeng Zhang
Journal:  Med Phys       Date:  2020-01-28       Impact factor: 4.071

4.  Markerless Real-Time 3-Dimensional kV Tracking of Lung Tumors During Free Breathing Stereotactic Radiation Therapy.

Authors:  Kimmie de Bruin; Max Dahele; Hassan Mostafavi; Berend J Slotman; Wilko F A R Verbakel
Journal:  Adv Radiat Oncol       Date:  2021-04-20
  4 in total

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