Literature DB >> 25979050

An externally and internally deformable, programmable lung motion phantom.

Yam Cheung1, Amit Sawant1.   

Abstract

PURPOSE: Most clinically deployed strategies for respiratory motion management in lung radiotherapy (e.g., gating and tracking) use external markers that serve as surrogates for tumor motion. However, typical lung phantoms used to validate these strategies are based on a rigid exterior and a rigid or a deformable-interior. Such designs do not adequately represent respiration because the thoracic anatomy deforms internally as well as externally. In order to create a closer approximation of respiratory motion, the authors describe the construction and experimental testing of an externally as well as internally deformable, programmable lung phantom.
METHODS: The outer shell of a commercially available lung phantom (RS-1500, RSD, Inc.) was used. The shell consists of a chest cavity with a flexible anterior surface, and embedded vertebrae, rib-cage and sternum. A custom-made insert was designed using a piece of natural latex foam block. A motion platform was programmed with sinusoidal and ten patient-recorded lung tumor trajectories. The platform was used to drive a rigid foam "diaphragm" that compressed/decompressed the phantom interior. Experimental characterization comprised of determining the reproducibility and the external-internal correlation of external and internal marker trajectories extracted from kV x-ray fluoroscopy. Experiments were conducted to illustrate three example applications of the phantom-(i) validating the geometric accuracy of the VisionRT surface photogrammetry system; (ii) validating an image registration tool, NiftyReg; and (iii) quantifying the geometric error due to irregular motion in four-dimensional computed tomography (4DCT).
RESULTS: The phantom correctly reproduced sinusoidal and patient-derived motion, as well as realistic respiratory motion-related effects such as hysteresis. The reproducibility of marker trajectories over multiple runs for sinusoidal as well as patient traces, as characterized by fluoroscopy, was within 0.25 mm RMS error. The motion trajectories of internal and external radio-opaque markers as measured by fluoroscopy were found to be highly correlated (R > 0.95). Using the phantom, it was demonstrated that the motion trajectories of regions-of-interest on the surface as measured by VisionRT are highly consistent with corresponding fluoroscopically acquired surface marker trajectories, with RMS errors within 0.26 mm. Furthermore, it was shown that the trajectories of external and internal marker trajectories derived from NiftyReg deformation vector fields were within 1 mm root mean square errors comparing to trajectories obtained by segmenting markers from individual fluoro frames. Finally, it was shown that while 4DCT can be used to localize internal markers for sinusoidal motion with reasonable accuracy, the localization error increases significantly (by a factor of ∼ 2) in the presence of cycle-to-cycle variations that are observed in patient-derived respiratory motion.
CONCLUSIONS: The authors have developed a realistic externally and internally deformable, programmable lung phantom that will serve as a valuable tool for clinical and investigational motion management studies in thoracic and abdominal radiation therapies.

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Year:  2015        PMID: 25979050      PMCID: PMC4409628          DOI: 10.1118/1.4918581

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  19 in total

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4.  Four-dimensional magnetic resonance imaging for the determination of tumour movement and its evaluation using a dynamic porcine lung phantom.

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6.  Inter fractional variability of breathing phase definition as determined by fiducial location.

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7.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy.

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8.  Measurement of lung tumor motion using respiration-correlated CT.

Authors:  Gig S Mageras; Alex Pevsner; Ellen D Yorke; Kenneth E Rosenzweig; Eric C Ford; Agung Hertanto; Steven M Larson; D Michael Lovelock; Yusuf E Erdi; Sadek A Nehmeh; John L Humm; C Clifton Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-11-01       Impact factor: 7.038

9.  Using patient-specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy.

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1.  Characterizing spatiotemporal information loss in sparse-sampling-based dynamic MRI for monitoring respiration-induced tumor motion in radiotherapy.

Authors:  Tatsuya J Arai; Joris Nofiele; Ananth J Madhuranthakam; Qing Yuan; Ivan Pedrosa; Rajiv Chopra; Amit Sawant
Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

2.  A novel deformable lung phantom with programably variable external and internal correlation.

Authors:  Maida Ranjbar; Pouya Sabouri; Carlo Repetto; Amit Sawant
Journal:  Med Phys       Date:  2019-04-22       Impact factor: 4.071

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