Literature DB >> 16485421

Technical and dosimetric aspects of respiratory gating using a pressure-sensor motion monitoring system.

X Allen Li1, Christopher Stepaniak, Elizabeth Gore.   

Abstract

This work introduces a gating technique that uses 4DCT to determine gating parameters and to plan gated treatment, and employs a Siemens linear accelerator to deliver the gated treatment. Because of technology incompatibility, the 4DCT scanner (LightSpeed, GE) and the Siemens accelerator require two different motion-monitoring systems. The motion monitoring system (AZ-773V, Anzai Med.) used for the gated delivery utilizes a pressure sensor to detect the external respiratory motion (pressure change) in real time. Another system (RPM, Varian) used for the 4DCT scanner (LightSpeed, GE) is based on an infrared camera to detect motion of external markers. These two motion monitoring systems (RPM and Anzai systems) were found to correlate well with each other. The depth doses and profile measured for gated delivery (with a duty cycle of 25% or 50%) were found to agree within 1.0% with those measured for ungated delivery, indicating that gating did not significantly alter beam characteristics. The measurement verified also that the MU linearity and beam output remained unchanged (within 0.3%). A practical method of using 4DCT to plan a gated treatment was developed. The duty cycle for either phase or amplitude gating can be determined based on 4DCT with consideration of set-up error and delivery efficiency. The close-loop measurement involving the entire gating process (imaging, planning, and delivery) showed that the measured isodose distributions agreed with those intended, validating the accuracy and reliability of the gating technique. Based these observations, we conclude that the gating technique introduced in this work, integrating Siemens linear accelerator and Anzai pressure sensor device with GE/Varian RPM 4DCT, is reliable and effective, and it can be used clinically to account for respiratory motion during radiation therapy.

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Year:  2006        PMID: 16485421     DOI: 10.1118/1.2147743

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


  35 in total

1.  Interplay effect modeling in stereotactic body radiotherapy treatment of liver cancer using volumetric modulated arc therapy.

Authors:  Deepak Thaper; Arun S Oinam; Rose Kamal; Gaganpreet Singh; Bhumika Handa; Vivek Kumar; Hanuman P Yadav
Journal:  Phys Eng Sci Med       Date:  2021-02-04

Review 2.  A review of intensity-modulated radiation therapy.

Authors:  Laurie E Gaspar; Meisong Ding
Journal:  Curr Oncol Rep       Date:  2008-07       Impact factor: 5.075

3.  Combined kV and MV imaging for real-time tracking of implanted fiducial markers.

Authors:  R D Wiersma; Weihua Mao; L Xing
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

4.  Prediction error and required internal margin provided for irregular respiratory movements: a phantom study.

Authors:  Nobuyoshi Fukumitsu; Haruko Numajiri; Kayoko Ohnishi; Masashi Mizumoto; Teruhito Aihara; Hitoshi Ishikawa; Toshiyuki Okumura; Koji Tsuboi; Toshiyuki Terunuma; Takeji Sakae; Hideyuki Sakurai
Journal:  Jpn J Radiol       Date:  2015-04-16       Impact factor: 2.374

5.  Imaging moving heart structures with PET.

Authors:  Piotr J Slomka; Tinsu Pan; Guido Germano
Journal:  J Nucl Cardiol       Date:  2015-03-26       Impact factor: 5.952

6.  Linear relation between spirometric volume and the motion of cardiac structures: MRI and clinical PET study.

Authors:  Tommi Kokki; Riku Klén; Tommi Noponen; Jussi Pärkkä; Virva Saunavaara; Erika Hoppela; Mika Teräs; Juhani Knuuti
Journal:  J Nucl Cardiol       Date:  2015-02-20       Impact factor: 5.952

Review 7.  Enhancing Cardiac PET by Motion Correction Techniques.

Authors:  Mathieu Rubeaux; Mhairi K Doris; Adam Alessio; Piotr J Slomka
Journal:  Curr Cardiol Rep       Date:  2017-02       Impact factor: 2.931

8.  Concurrent Respiratory Motion Correction of Abdominal PET and Dynamic Contrast-Enhanced-MRI Using a Compressed Sensing Approach.

Authors:  Niccolo Fuin; Onofrio A Catalano; Michele Scipioni; Lisanne P W Canjels; David Izquierdo-Garcia; Stefano Pedemonte; Ciprian Catana
Journal:  J Nucl Med       Date:  2018-01-25       Impact factor: 10.057

9.  Characterization of free breathing patterns with 5D lung motion model.

Authors:  Tianyu Zhao; Wei Lu; Deshan Yang; Sasa Mutic; Camille E Noel; Parag J Parikh; Jeffrey D Bradley; Daniel A Low
Journal:  Med Phys       Date:  2009-11       Impact factor: 4.071

10.  Unsupervised Learning for Robust Respiratory Signal Estimation From X-Ray Fluoroscopy.

Authors:  Peter Fischer; Thomas Pohl; Anthony Faranesh; Andreas Maier; Joachim Hornegger
Journal:  IEEE Trans Med Imaging       Date:  2016-09-16       Impact factor: 10.048

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