SU‐FF‐J‐03: Real Time Motion Adaptive Delivery—Experimental Validation

C. Mauer, W. lu, D. Lucas, J. Zhang, G. Olivera, K. Ruchala

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: A real time motion adaptive delivery (MAD) technique to compensate for the effects of intra‐fraction respiratory motion in TopoTherapy/TomoTherapy delivery was developed. This technique was evaluated using dosimetric measurements on a TomoTherapy machine with a motion phantom. Methods: Motion adaptive delivery is a technique that re‐uses the planned sinogram by shuffling its projection and leaf indices, based on instantaneous target position. MAD can be implemented using commercial TomoTherapy systems without hardware modifications. A standard helical plan on a stationary phantom is compared to the same plan on a moving phantom, and a motion adaptive delivery on a moving phantom. The dosimetric differences are measured by delivering plans to film placed on a synchronized motion phantom. The experiment is repeated for different target volume shapes and motion directions. Results: We measured the MAD to be within 2% of dose of a regular treatment delivered to a stationary phantom. These results are consistent for different IMRT target shapes (spherical, ellipsoid, saddle‐shaped), target motions (lateral, inferior‐superior), and field sizes (1.0 and 2.5 cm). Discussions and Conclusions: We present an experimental validation measuring the effects of intra‐fraction motion on helical TomoTherapy plans compared to Motion Adaptive Delivery (MAD). The dose measured in motion adaptive deliveries is within 2% of a regular helical treatment dose to a stationary target.

Original languageEnglish (US)
Pages (from-to)2368
Number of pages1
JournalMedical physics
Volume34
Issue number6
DOIs
StatePublished - Jun 2007

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'SU‐FF‐J‐03: Real Time Motion Adaptive Delivery—Experimental Validation'. Together they form a unique fingerprint.

Cite this