Hyunggun Kim
성균관대학교 의과대학 · 의학
김형건 교수의 연구실은 생체재료 및 심장판막의 생체역학적 특성 분석을 중심으로, 고도화된 유한요소 해석과 개인화된 컴퓨터 시뮬레이션을 활용한 심장판막 질환의 기전 규명과 수술 전 가상 수술 시뮬레이션 기술 개발을 주요 연구 방향으로 삼고 있습니다. 특히 생체 조직의 비선형 및 이방성 물성 특성을 정밀하게 모델링하고, 어류 피부에서 추출한 콜라겐과 갈라지기에서 유래한 페놀 화합물로 구성된 생분해성 복합 지지체를 개발하여 심장판막 보철물의 내구성과 생체적합성을 향상시키는 데에도 기여하고 있습니다. 이와 더불어 농업 분야의 딥러닝 적용을 위한 약한 지도 학습 기반 영역 세분화 기술 개발을 통해 의료 외 분야의 지능형 비전 기술에도 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
While providing nearly trouble-free function for 10-12 years, current bioprosthetic heart valves (BHV) continue to suffer from limited long-term durability. This is usually a result of leaflet calcification and/or structural degeneration, which may be related to regions of stress concentration associated with complex leaflet deformations. In the current work, a dynamic three-dimensional finite element analysis of a pericardial BHV was performed with a recently developed FE implementation of the
Posterior leaflet prolapse following chordal elongation or rupture is one of the primary valvular diseases in patients with degenerative mitral valves (MVs). Quadrangular resection followed by ring annuloplasty is a reliable and reproducible surgical repair technique for treatment of posterior leaflet prolapse. Virtual MV repair simulation of leaflet resection in association with patient-specific 3D echocardiographic data can provide quantitative biomechanical and physiologic characteristics of
Machine vision with deep learning is a promising type of automatic visual perception for detecting and segmenting an object effectively; however, the scarcity of labelled datasets in agricultural fields prevents the application of deep learning to agriculture. For this reason, this study proposes weakly supervised crop area segmentation (WSCAS) to identify the uncut crop area efficiently for path guidance. Weakly supervised learning has advantage for training models because it entails less labor
This study demonstrates specific highlighting of early/inflammatory atheroma in vivo using anti-ICAM-1 ELIP. Three-dimensional IVUS reconstruction provides good visualization of plaque distribution in the arterial wall. This novel methodology may help to detect and diagnose pathophysiologic development of all stages of atheroma formation in vivo and quantitate plaque volume for serial and long-term atherosclerotic treatment studies.
A biocomposite scaffold supplemented with collagen extracted from fish skin and phlorotannin from brown algae was proposed.
