{"_buckets": {"deposit": "c8c488f0-7146-4c27-bd50-8c9a89084a59"}, "_deposit": {"id": "5295", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "5295"}, "status": "published"}, "_oai": {"id": "oai:niigata-u.repo.nii.ac.jp:00005295"}, "item_6_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-03-23", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "102", "bibliographicPageStart": "1", "bibliographic_titles": [{}]}]}, "item_6_date_granted_51": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u5e74\u6708\u65e5", "attribute_value_mlt": [{"subitem_dategranted": "2012-03-23"}]}, "item_6_degree_grantor_49": {"attribute_name": "\u5b66\u4f4d\u6388\u4e0e\u6a5f\u95a2", "attribute_value_mlt": [{"subitem_degreegrantor": [{"subitem_degreegrantor_name": "\u65b0\u6f5f\u5927\u5b66"}]}]}, "item_6_degree_name_48": {"attribute_name": "\u5b66\u4f4d\u540d", "attribute_value_mlt": [{"subitem_degreename": "\u535a\u58eb\uff08\u5de5\u5b66\uff09"}]}, "item_6_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "The purpose of this study, improving the calculation accuracy of the system to be used for independent monitor unit (MU) verification of the safety check in clinical radiotherapy using X-ray of linear accelerator (linac). Current, treatment planning systems (RTPS) is used for calculate the MU value and to predict the internal dose from computed tomography (CT) images. And it has a problem due to the accidents caused by the abnormal MU value in operation by the user\u0027s misunderstanding of high performance RTPS. Therefore, RTPS\u0027s MU is necessary to confirm in independent verification, that is to check for tolerance between RTPS\u0027s MU and independent verification MU. This paper is focused on method of manual calculation of independent verification, we investigated the output factor estimation of parameters required to MU calculation. The output factor is a function of the change in dose for a field size of the linac. At the simple rectangle field, the area perimeter ratio (Area/Perimeter;A/P) method can convert the radiation field into dose equivalent square field, and the A/P method can be estimated accurately the output factor at arbitrary rectangular field. However, A/P method can not accurately estimate the output factor at the multileaf collimator (MLC) with irregular field in clinical. Thus, the output factor is represented by total scatter factor (S_\u003cc,p\u003e), it adopted a method by multiplying the collimator scatter factor (S_c) and the phantom scatter factor (S_p). First, We proposed the approximation model considering the physical properties of each of S_c and S_p. S_c is depend on the width X and height Y of the radiation field, thus we proposed the approximation model with the variables X and Y. S_p is depend on distance of the center and edge of the radiation field (equal to the radius), thus we proposed the approximation model with a variable radius. Second, the measured values of S_c and S_p at the rectangle field was measured in phantom, then the model parameters will be determined by least-squares curve fitting. As a result, the approximation model fit is good with measurements of S_c, it was found that the approximation model with variables X and Y, S_c value of arbitary rectangular field may be accurately estimated. Also, the approximation model fit is good with measurements of S_p, it was found that the approximation model with a variable radius, S_p value of arbitary rectangular field may be accurately estimated. Finally, the proposed method compares the measured and estimated values of S_c and S_p in with the MLC irregular field in the phantom. And the accuracy of the proposed method was confirmed in clinical irregular field. In this paper, we investigated estimation of the output factor in the calculation of the independent MU verification in clinical radiotherapy using X-ray. We proposed the approximation model of the collimator scatter factor (S_c) and the phantom scatter factor (S_p), and confirmed those proposed method was useful. It can expect improvement of the calculation accuracy when the clinical system of independent MU verification including the method of this study.", "subitem_description_type": "Abstract"}, {"subitem_description": 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