Literature DB >> 11029159

Robotic motion compensation for respiratory movement during radiosurgery.

A Schweikard1, G Glosser, M Bodduluri, M J Murphy, J R Adler.   

Abstract

Tumors in the chest and abdomen move during respiration. The ability of conventional radiation therapy systems to compensate for respiratory motion by moving the radiation source is inherently limited. Since safety margins currently used in radiation therapy increase the radiation dose by a very large amount, an accurate tracking method for following the motion of the tumor is of the utmost clinical relevance. We investigate methods to compensate for respiratory motion using robotic radiosurgery. Thus, the therapeutic beam is moved by a robotic arm, and follows the moving target tumor. To determine the precise position of the moving target, we combine infrared tracking with synchronized X-ray imaging. Infrared emitters are used to record the motion of the patient's skin surface. A stereo X-ray imaging system provides information about the location of internal markers. During an initialization phase (prior to treatment), the correlation between the motions observed by the two sensors (X-ray imaging and infrared tracking) is computed. This model is also continuously updated during treatment to compensate for other, non-respiratory motion. Experiments and clinical trials suggest that robot-based methods can substantially reduce the safety margins currently needed in radiation therapy. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 11029159     DOI: 10.1002/1097-0150(2000)5:4<263::AID-IGS5>3.0.CO;2-2

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  51 in total

1.  Feasibility of low-dose single-view 3D fiducial tracking concurrent with external beam delivery.

Authors:  Michael A Speidel; Brian P Wilfley; Annie Hsu; Dimitre Hristov
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  Electromagnetic tracking for abdominal interventions in computer aided surgery.

Authors:  Hui Zhang; Filip Banovac; Ralph Lin; Neil Glossop; Bradford J Wood; David Lindisch; Elliot Levy; Kevin Cleary
Journal:  Comput Aided Surg       Date:  2006-05

3.  Optimization of an adaptive neural network to predict breathing.

Authors:  Martin J Murphy; Damodar Pokhrel
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

4.  Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy.

Authors:  Nikolas Leßmann; Daniel Drömann; Alexander Schlaefer
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-26       Impact factor: 2.924

5.  Technical note: Correlation of respiratory motion between external patient surface and internal anatomical landmarks.

Authors:  Hadi Fayad; Tinsu Pan; Jean François Clement; Dimitris Visvikis
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

6.  Forecasting respiratory motion with accurate online support vector regression (SVRpred).

Authors:  Floris Ernst; Achim Schweikard
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-04       Impact factor: 2.924

7.  Lung tumor tracking in fluoroscopic video based on optical flow.

Authors:  Qianyi Xu; Russell J Hamilton; Robert A Schowengerdt; Brian Alexander; Steve B Jiang
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  Experimental investigation of a general real-time 3D target localization method using sequential kV imaging combined with respiratory monitoring.

Authors:  Byungchul Cho; Per Poulsen; Dan Ruan; Amit Sawant; Paul J Keall
Journal:  Phys Med Biol       Date:  2012-10-24       Impact factor: 3.609

9.  Management of three-dimensional intrafraction motion through real-time DMLC tracking.

Authors:  Amit Sawant; Raghu Venkat; Vikram Srivastava; David Carlson; Sergey Povzner; Herb Cattell; Paul Keall
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

10.  Stereotactic body radiotherapy for pulmonary metastases. Prognostic factors and adverse respiratory events.

Authors:  T Inoue; R-J Oh; H Shiomi; N Masai; H Miura
Journal:  Strahlenther Onkol       Date:  2013-02-20       Impact factor: 3.621

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