Inclusion detection with robotic palpation and mechanical property characterization for prostate abnormal tissue detection = 전립선 이상조직 검출을 위한 로봇 촉지 및 생체조직 특성화

Palpation is one of the medical examination procedures using a tactile sensation of the physicians. This procedure is not only relatively safe, fast, intuitive, and less labor intensive, but also capable of providing valuable information of status of tissues including stiffness, viscosity, and existence of abnormalities. Palpation has been widely used in many medical fields including urology and gynecology. One of the most important facets in these fields is the early and accurate diagnosis of diseases, but the information obtained by the palpation is subjective and dependent on the experience of physicians, and is not quantitative. Therefore, this research addresses some of the main bottlenecks to address the limitations. First, robotic palpation based inclusion detection will be suggested and validated by using the tissue phantom experiments and mechanical property characterization. Second, mechanical property maps, that show the mechanical properties of normal and cancer prostate tissues, will be proposed, which are estimated using the results measured by robotic palpation experiments and mechanical property characterization. Finally, a robotic palpation system will be developed to detect the prostate abnormal tissue. Using the system, we will verify the possibility of proposed methods from the tissue phantom experiments and clinical experiments. Therefore, we applied the proposed protocol and system for abnormal tissue detection and localization using the different mechanical properties of tissues.
Advisors
Kim, Jungresearcher김정researcher
Publisher
한국과학기술원
Issue Date
2011
Identifier
466314/325007  / 020075097
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 기계공학전공, 2011.2, [ vii, 82 p. ]

Keywords

Robotic palpation (scanning & sweeping); 기계적 물성 규명; 생체조직 거동; 함유물 검출; 전립선 이상 조직 검출; 로봇 촉지; Soft tissue behavior; Mechanical property characterization; Prostate abnormal tissue detection; Inclusion detection

URI
http://hdl.handle.net/10203/43465
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=466314&flag=t
Appears in Collection
ME-Theses_Ph.D.(박사논문)
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