Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5 Άγιος Νικόλαος
Κρήτη 72100
00302841026182
00306932607174
alsfakia@gmail.com

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Τρίτη 13 Μαρτίου 2018

A Methodology to Investigate the Impact of Image Distortions on the Radiation Dose When Using Magnetic Resonance Images for Planning.

A Methodology to Investigate the Impact of Image Distortions on the Radiation Dose When Using Magnetic Resonance Images for Planning.

Phys Med Biol. 2018 Mar 12;:

Authors: Yan Y, Yang J, Beddar S, Ibbott GS, Wen Z, Court LE, Hwang KP, Kadbi M, Krishnan S, Fuller C, Frank SJ, Yang JN, Balter PA, Kudchadker RJ, Wang J

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 5 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. .

PMID: 29528037 [PubMed - as supplied by publisher]



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