Literature DB >> 23556876

Accuracy verification of infrared marker-based dynamic tumor-tracking irradiation using the gimbaled x-ray head of the Vero4DRT (MHI-TM2000).

Nobutaka Mukumoto1, Mitsuhiro Nakamura, Akira Sawada, Yasunobu Suzuki, Kunio Takahashi, Yuki Miyabe, Shuji Kaneko, Takashi Mizowaki, Masaki Kokubo, Masahiro Hiraoka.   

Abstract

PURPOSE: To verify the accuracy of an infrared (IR) marker-based dynamic tumor-tracking irradiation system (IR tracking) using the gimbaled x-ray head of the Vero4DRT (MHI-TM2000).
METHODS: The gimbaled 6-MV C-band x-ray head of the Vero4DRT can swing along the pan-and-tilt direction to track a moving target. During beam delivery, the Vero4DRT predicts the future three-dimensional (3D) target position in real time using a correlation model [four-dimensional (4D) model] between the target and IR marker motion, and then continuously transfers the corresponding tracking orientation to the gimbaled x-ray head. The 4D-modeling error (E4DM) and the positional tracking error (EP) were defined as the difference between the predicted and measured positions of the target in 4D modeling and as the difference between the tracked and measured positions of the target during irradiation, respectively. For the clinical application of IR tracking, we assessed the relationship between E4DM and EP for three 1D sinusoidal (peak-to-peak amplitude [A]: 20-40 mm, breathing period [T]: 2-4 s), five 1D phase-shifted sinusoidal (A: 20 mm, T: 4 s, phase shift [τ]: 0.2-2 s), and six 3D patient respiratory patterns.
RESULTS: The difference between the 95th percentile of the absolute EP (EP (95)) and the mean (μ) + two standard deviations (SD) of absolute E4DM (E4DM (μ+2SD)) was within ± 1 mm for all motion patterns. As the absolute correlation between the target and IR marker motions decreased from 1.0 to 0.1 for the 1D phase-shifted sinusoidal patterns, the E4DM (μ+2SD) and EP (95) increased linearly, from 0.4 to 3.0 mm (R = -0.98) and from 0.5 to 2.2 mm (R = -0.95), respectively. There was a strong positive correlation between E4DM (μ+2SD) and EP (95) in each direction [(lateral, craniocaudal, anteroposterior) = (0.99, 0.98, 1.00)], even for the 3D respiratory patterns; thus, EP (95) was readily estimated from E4DM (μ+2SD).
CONCLUSIONS: Positional tracking errors correlated strongly with 4D-modeling errors in IR tracking. Thus, the accuracy of the 4D model must be verified before treatment, and margins are required to compensate for the 4D-modeling error.

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Year:  2013        PMID: 23556876     DOI: 10.1118/1.4794506

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


  16 in total

1.  Effect of image quality on correlation modeling error using a fiducial marker in a gimbaled linear accelerator.

Authors:  Hideharu Miura; Shuichi Ozawa; Tsubasa Enosaki; Fumika Hosono; Kiyoshi Yamada; Yasushi Nagata
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-25

2.  Effect of tumor amplitude and frequency on 4D modeling of Vero4DRT system.

Authors:  Hideharu Miura; Shuichi Ozawa; Masahiro Hayata; Shintaro Tsuda; Kiyoshi Yamada; Yasushi Nagata
Journal:  Rep Pract Oncol Radiother       Date:  2017-05-05

3.  Evaluation of cone-beam computed tomography image quality assurance for Vero4DRT system.

Authors:  Hideharu Miura; Shuichi Ozawa; Masahiro Hayata; Shintarou Tsuda; Tsubasa Enosaki; Kiyoshi Yamada; Yasushi Nagata
Journal:  Rep Pract Oncol Radiother       Date:  2017-04-25

4.  Spatial and rotational quality assurance of 6DOF patient tracking systems.

Authors:  Andrew H Belcher; Xinmin Liu; Zachary Grelewicz; Rodney D Wiersma
Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

5.  Association Between Internal Organ/Liver Tumor and External Surface Motion From Cine MR Images on an MRI-Linac.

Authors:  Weihua Mao; Joshua Kim; Indrin J Chetty
Journal:  Front Oncol       Date:  2022-06-30       Impact factor: 5.738

6.  Evaluating dosimetric differences in spine stereotactic body radiotherapy: An international multi-institutional treatment planning study.

Authors:  Tomohisa Furuya; Hiroshi Tanaka; Mark Ruschin; Keiji Nihei; Dilini Pinnaduwage; Lijun Ma; Arjun Sahgal; Katsuyuki Karasawa
Journal:  J Radiosurg SBRT       Date:  2015

7.  Quality assurance of a gimbaled head swing verification using feature point tracking.

Authors:  Hideharu Miura; Shuichi Ozawa; Tsubasa Enosaki; Atsushi Kawakubo; Fumika Hosono; Kiyoshi Yamada; Yasushi Nagata
Journal:  J Appl Clin Med Phys       Date:  2016-11-21       Impact factor: 2.102

8.  4D modeling in a gimbaled linear accelerator by using gold anchor markers.

Authors:  Hideharu Miura; Shuichi Ozawa; Takaaki Matsuura; Atsushi Kawakubo; Fumika Hosono; Kiyoshi Yamada; Yasushi Nagata
Journal:  Rep Pract Oncol Radiother       Date:  2018-03-18

9.  Quantification of the kV X-ray imaging dose during real-time tumor tracking and from three- and four-dimensional cone-beam computed tomography in lung cancer patients using a Monte Carlo simulation.

Authors:  Mitsuhiro Nakamura; Yoshitomo Ishihara; Yukinori Matsuo; Yusuke Iizuka; Nami Ueki; Hiraku Iramina; Hideaki Hirashima; Takashi Mizowaki
Journal:  J Radiat Res       Date:  2018-03-01       Impact factor: 2.724

10.  Simple quality assurance method of dynamic tumor tracking with the gimbaled linac system using a light field.

Authors:  Hideharu Miura; Shuichi Ozawa; Masahiro Hayata; Shintaro Tsuda; Kiyoshi Yamada; Yasushi Nagata
Journal:  J Appl Clin Med Phys       Date:  2016-09-08       Impact factor: 2.102

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