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IEEE/ASME TRANSACTIONS ON MECHATRONICS, VOL. 15, NO. 6, DECEMBER 2010 Design of Noncontact Tumor Imager for Video-Assisted Thoracic Surgery Tomohiro Kawahara, Member, Yoshihiro Miyata, Koichi Akayama, Masazumi Okajima, Makoto Kaneko Graduate School of Biomedical Sciences, Hiroshima University Hospital, Hiroshima University, Hiroshima , Japan Paper Survey Advisor : Cheng-Hsin Chuang Advisee ﹕Tsan-Hsiu Li Department of Mechanical Engineering Southern Taiwan University Date ﹕2013/9/13 Outline Design Concept Experiment Setup Experiment Results Basic Experiment Human Lung Experiments Animal Lung Experiments Clinical Application Future Works 2 Design Concept Sensor output Air Input Lissajous Diagram Fig. 3. Overview of the prototype sensor head. Fig. 2. Basic principle of noncontact tumor imager. u(t) = A1 sin(2πft) + A2 z(s0, t) = B1 sin(2πft + α) + B2 A1:amplitude of the vibrating component of the input force A2:constant component of the input force B1:amplitude of vibrating component of the displacement sensor B2:constant component of the output of the displacement sensor 3 Experiment Setup Fig. 4. Basic experimental setup. Basic Experiment With normal surface (white). With colored surface (red and black). Silicone object Silicone object f =40Hz Input pressure=0.15MPa Slider Speed =10mm/s 5 Human Lung Experiments The normal tissue Input pressure=0.15MPa f =40Hz ds=10~20mm The tumor tissue 6 Animal Lung Experiments Input pressure=0.15MPa f =30Hz Di=5,8,10mm Di/De ≥ 1 mm Fig. 10. Detection results of artificial tumors. 7 Clinical Application (a) (c) Fig. 12. Developed sensor system for clinical application. Overwiew of the developed sensor system. Fig. 13. Example of the clinical test (right lobe, 72-year old male, [Di,De ]= [15, 34] mm based on CT). (a) CT image. (b) Overview of the measurement.(c) Realtime detection display 8 Conclusion 1) In a multicolored environment, whereas it is difficult for us to judge a consistent change from the output signal with respect to time. 2) It is desirable that the developed sensor is as small as possible and that it can detect tumors with a ratio of Di/De < 1. 9 Future Works 10 Thanks for your attention 11