A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning

Yue Yan, Jinzhong Yang, Sam Beddar, Geoffrey Ibbott, Zhifei Wen, Laurence E. Court, Ken Pin Hwang, Mo Kadbi, Sunil Krishnan, Clifton D. Fuller, Steven J. Frank, James N Yang, Peter Balter, Rajat J. Kudchadker, Jihong Wang

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

We developed a novel technique to study the impact of geometric distortion of magnetic resonance imaging (MRI) on intensity-modulated radiation therapy treatment planning. The measured 3D datasets of residual geometric distortion (a 1.5 T MRI component of an MRI linear accelerator system) was fitted with a second-order polynomial model to map the spatial dependence of geometric distortions. Then the geometric distortion model was applied to computed tomography (CT) image and structure data to simulate the distortion of MRI data and structures. Fourteen CT-based treatment plans were selected from patients treated for gastrointestinal, genitourinary, thoracic, head and neck, or spinal tumors. Plans based on the distorted CT and structure data were generated (as the distorted plans). Dose deviations of the distorted plans were calculated and compared with the original plans to study the dosimetric impact of MRI distortion. The MRI geometric distortion led to notable dose deviations in five of the 14 patients, causing loss of target coverage of up to 3.68% and dose deviations to organs at risk in three patients, increasing the mean dose to the chest wall by up to 6.19 Gy in a gastrointestinal patient, and increases the maximum dose to the lung by 5.17 Gy in a thoracic patient.

Original languageEnglish (US)
Article number085005
JournalPhysics in medicine and biology
Volume63
Issue number8
DOIs
StatePublished - Apr 5 2018

Keywords

  • dosimetric deviation
  • geometric distortion
  • magnetic resonance imaging

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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