He jishu (Mar 2021)

An incompatibility problem and solution of multimodal image-guided radiotherapy based on domestic equipment

  • YIN Yunpeng,
  • LUO Kelin,
  • XIE Zhao,
  • HU Jinyou,
  • ZOU Lian

DOI
https://doi.org/10.11889/j.0253-3219.2021.hjs.44.030301
Journal volume & issue
Vol. 44, no. 3
pp. 030301 – 030301

Abstract

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Background The fusion of multi-modal imaging characteristics will greatly improve the recognition of tumors and normal tissues. The guidance of multi-modal imaging has become an indispensable link for precise radiotherapy. Benefiting from the development of domestic medical equipment, many grassroots hospitals have the basic conditions to carry out multi-modal image-guided radiotherapy based on domestic equipment. The incompatibility between the domestic radiotherapy system and the domestic magnetic resonance imaging (MRI) imaging system affects the integration of multimodal image-guided radiotherapy. Purpose This study aims to solve the problem of incompatibility of multi-modal image fusion in radiotherapy, provide experience reference for counterparts in grassroots units. Methods First of all, the imported radiotherapy planning system (Eclipse TPS System) and imaging system (SIEMENS Magnetom aera 1.5 T) were taken as reference, a calibration software tool MagicPhantom was independently developed by using Python programming language. Then an image correction links in the clinical process of the domestic radiotherapy planning system (FonicsPlan) and MagicPhantom was added for the review of multimodal images. Finally, the multi-modal image-guided precise radiotherapy in the application scenarios of national production equipment was implemented. Results The newly-added image review process takes approximately 2 min to process images of each case, which effectively solves the problem of incompatibility between domestic radiotherapy system and domestic imaging system. Conclusions Using Python programming language to solve the problem of incompatibility of multi-modal image fusion is a simple and feasible method, which will help provide experience reference for peers in the grassroots units, and help manufacturers to better improve equipment performance and complete product iteration.

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