Oncotarget

Research Papers:

MRI-based radiotherapy planning method using rigid image registration technique combined with outer body correction scheme: a feasibility study

Ki Mun Kang, Hoon Sik Choi, Bae Kwon Jeong, Jin Ho Song, In-Bong Ha, Yun Hee Lee, Chul Hang Kim and Hojin Jeong _

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Oncotarget. 2017; 8:54497-54505. https://doi.org/10.18632/oncotarget.17672

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Abstract

Ki Mun Kang1,2, Hoon Sik Choi2,3, Bae Kwon Jeong1,2, Jin Ho Song2,3, In-Bong Ha1,2, Yun Hee Lee1,2, Chul Hang Kim3 and Hojin Jeong1,2

1Department of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea

2Institute of Health Sciences, Gyeongsang National University, Jinju, Republic of Korea

3Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea

Correspondence to:

Hojin Jeong, email: [email protected]

Keywords: MRI-based radiotherapy, rigid image registration, brain tumor, radiotherapy planning

Received: March 24, 2017     Accepted: April 24, 2017     Published: May 07, 2017

ABSTRACT

An alternative pseudo CT generation method for magnetic resonance image (MRI)-based radiotherapy planning was investigated in the work. A pseudo CT was initially generated using the rigid image registration between the planning MRI and previously acquired diagnostic CT scan. The pseudo CT generated was then refined to have the same morphology with that of the referenced planning image scan by applying the outer body correction scheme. This method was applied to some sample of brain image data and the feasibility of the method was assessed by comparing dosimetry results with those from the current gold standard CT-based calculations. Validation showed that nearly the entire pixel doses calculated from pseudo CT were agreed well with those from actual planning CT within 2% in dosimetric and 1mm in geometric uncertainty ranges. The results demonstrated that the method suggested in the study was sufficiently accurate, and thus could be applicable to MRI-based brain radiotherapy planning.


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