Journal of Robotics and Mechatronics
Online ISSN : 1883-8049
Print ISSN : 0915-3942
ISSN-L : 0915-3942
Regular Papers
Servoing Performance Enhancement via a Respiratory Organ Motion Prediction Model for a Non-Invasive Ultrasound Theragnostic System
Tatsuya FujiiNorihiro KoizumiAtsushi KayasugaDongjun LeeHiroyuki TsukiharaHiroyuki FukudaKiyoshi YoshinakaTakashi AzumaHideyo MiyazakiNaohiko SugitaKazushi NumataYukio HommaYoichiro MatsumotoMamoru Mitsuishi
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ジャーナル オープンアクセス

2017 年 29 巻 2 号 p. 434-446

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High intensity focused ultrasound (HIFU) is potentially useful for treating stones and/or tumors. With respect to HIFU therapy, it is difficult to focus HIFU on the focal lesion due to respiratory organ motion, and this increases the risk of damaging the surrounding healthy tissues around the target focal lesion. Thus, this study proposes a method to cope with the fore-mentioned problem involving tracking and following the respiratory organ motion via a visual feedback and a prediction model for respiratory organ motion to realize highly accurate servoing performance for focal lesions. The prediction model is continuously updated based on the latest organ motion data. The results indicate that respiratory kidney motion of two healthy subjects is successfully tracked and followed with an accuracy of 0.88 mm by the proposed method and the constructed system.

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© 2017 Fuji Technology Press Ltd.

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