Implementation of Filtered back Projection (FBP) Theory for Intensity Modulated Radiation Therapy (IMRT) Planning

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  • Shioya Kouichi
    Department of Radiological Technology, Odate Municipal General Hospital,3-1 Toyomachi, Odate, Akita, Japan
  • Nomura Kazuki
    Department of Radiological Technology, Hirosaki University Graduate School of Health Sciences, 66-1 Hon-cho, Hirosaki, Aomori, Japan
  • Komai Fumio
    Department of Radiological Technology, Hirosaki University Hospital, 53 Hon-cho, Hirosaki, Aomori, Japan
  • Terashima Shingo
    Department of Radiological Technology, Hirosaki University Graduate School of Health Sciences, 66-1 Hon-cho, Hirosaki, Aomori, Japan
  • Aoki Masahiko
    Department of Radiology and Radiation Oncology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, Japan
  • Hosokawa Yoichirou
    Department of Radiological Technology, Hirosaki University Graduate School of Health Sciences, 66-1 Hon-cho, Hirosaki, Aomori, Japan

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<p>This study aimed to prove the theoretical possibility of planning intensity modulated radiation therapy (IMRT) using filtered back projection (FBP). To this end, we created an image reconstruction algorithm on a personal computer using FBP and then reconstructed a tumour planning target volume (PTV) image. From this, tumours FBP data was acquired. This projection was then input into a radiotherapy planning system (RTPS) as beam intensities of IMRT plan. We then acquired the dose distribution within the tumours image from this system. We acquired the dose distribution in the film by irradiating the area according to the treatment plan and then compared the two dose distributions. The dose distribution in tumours image from the RTPS was almost identical to that in the PTV showed by one CT image. IMRT is currently planned using an optimization algorithm, but the current findings show that beam intensities of IMRT can also theoretically be determined by only the processing of image reconstruction by using FBP without dose calculation by using iterative methods.</p>

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