Literature DB >> 14752737

Tracking moving organs in real time.

Martin J Murphy1.   

Abstract

In an ideal radiotherapy procedure, the treatment system would continuously adapt the radiation beam delivery to changes in the tumor position. The development of such a tracking capability has been underway for more than 10 years, beginning with the CyberKnife image-guided radiosurgery system. In that time, much has been learned about the nature of tumor motion and the technical issues that it presents to a practical real-time tracking system. In this article, I will review the basic concepts behind existing and proposed radiotherapy beam-tracking systems, show clinical evidence of the types of movement that are encountered in real-time tracking situations, describe the corresponding technical problems and solutions, and discuss the unresolved issues in making real-time tumor tracking a practical response to tumor motion.

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Year:  2004        PMID: 14752737     DOI: 10.1053/j.semradonc.2003.10.005

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  49 in total

1.  Real-time tumor motion estimation using respiratory surrogate via memory-based learning.

Authors:  Ruijiang Li; John H Lewis; Ross I Berbeco; Lei Xing
Journal:  Phys Med Biol       Date:  2012-07-06       Impact factor: 3.609

2.  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

3.  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

4.  Ray-casting based evaluation framework for haptic force feedback during percutaneous transhepatic catheter drainage punctures.

Authors:  Andre Mastmeyer; Tobias Hecht; Dirk Fortmeier; Heinz Handels
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-11-27       Impact factor: 2.924

5.  Fast internal marker tracking algorithm for onboard MV and kV imaging systems.

Authors:  W Mao; R D Wiersma; L Xing
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

6.  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

7.  A Bayesian approach to real-time 3D tumor localization via monoscopic x-ray imaging during treatment delivery.

Authors:  Ruijiang Li; Benjamin P Fahimian; Lei Xing
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

8.  Effect of secondary particles on image quality of dynamic flat panels in carbon ion scanning beam treatment.

Authors:  S Mori; S Amano; T Furukawa; T Shirai; K Noda
Journal:  Br J Radiol       Date:  2014-12-23       Impact factor: 3.039

9.  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

10.  Complications associated with the percutaneous insertion of fiducial markers in the thorax.

Authors:  Nikhil Bhagat; Nicholas Fidelman; Jeremy C Durack; Jeremy Collins; Roy L Gordon; Jeanne M LaBerge; Robert K Kerlan
Journal:  Cardiovasc Intervent Radiol       Date:  2010-07-27       Impact factor: 2.740

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