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- 저자 : Xiaopeng Yang (검색결과 71 건)
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Development of a 25-DOF Hand Forward Kinematic Model Using Motion Data
Xiaopeng Yang,Kihyo Jung(정기효),Jangwoon Park(박장운),Heecheon You(유희천) 대한인간공학회 2010 대한인간공학회 학술대회논문집 Vol.2010 No.10
This paper describes the development of a 25-DOF hand forward kinematic model based on optical motion capture data. In the proposed model, an evolutionary strategy method (ESM)-based optimization algorithm is proposed to determine hand link lengths based on measured surface marker motions in vivo. The Denavit-Hartenberg (D-H) method was employed to predict fingertip positions given hand postures. To evaluate the proposed model, an experiment was conducted in which a 3D motion analysis system was employed to measure the 3D positions of spherical retro-reflective markers placed at the hand surface landmarks during grasping a ball with a diameter of 50 ㎜. The predicted fingertip positions by the model were compared with those measured by a motion capture system. Compared with the SANTOSTM hand model, the proposed model had a smaller grand mean value of fingertip position prediction error (5.8 ㎜ for SANTOS and 2.7 ㎜ for the proposed model). The proposed model can be applied to computer-aided ergonomic design of hand-held devices.
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A Usability Test for Dr. Liver, a 3D Virtual Liver Surgical Planning System
Xiaopeng Yang,Younggeun Choi,Wonsup Lee,Baojian Wang,Jaedo Yang,Hongpil Hwang,Ji Hyun Kim,Jisoo Song,Hee Chul Yu,Baik Hwan Cho,Heecheon You 대한인간공학회 2013 대한인간공학회 학술대회논문집 Vol.2013 No.5
A usability test was performed for a 3D virtual liver surgical planning system, named Dr. Liver. The system consists of five modules including (1) (1) Liver Extraction, (2) Vessel Extraction, (3) Tumor Extraction, (4) Liver Segmentation, and (5) Liver Surgery Planning. Various performance and preference measures were applied and opinions of the participants regarding likes, dislikes, and suggestions were collected. Three medical doctors participated in the usability test, consisting of five test modules. The system received a high score of satisfaction (mean = 6.5, S.D. = 0.8) as measured using a 7-point Likert scale throughout the five test modules. Based on the evaluation results, recommendations were made for better usability of the system. The present study would help practitioners to evaluate the usability of a system and identify potential usability problems in a systematic manner.
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YANG XIAOPENG,양재도,이승훈,황홍필,안성우,유희철,유희천 연세대학교의과대학 2018 Yonsei medical journal Vol.59 No.4
Purpose: The present study developed formulas for estimation of standard liver volume (SLV) with high accuracy for the Koreanpopulation. Materials and Methods: SLV estimation formulas were established using gender-balanced and gender-unbalanced measurementsof anthropometric variables, body composition variables, and abdominal geometry of healthy Koreans (n=790). Total livervolume excluding blood volume, was measured based on CT volumetry. Results: SLV estimation formulas as preferred in various conditions of data availability were suggested in the present study. Thesuggested SLV estimation formulas in the present study were found superior to existing formulas, with an increased accuracy of4.0−217.5 mL for absolute error and 0.2−18.7% for percentage of absolute error. Conclusion: SLV estimation formulas using gender-balanced measurements showed better performance than those using gender-unbalanced measurements. Inclusion of body composition and abdominal geometry variables contributed to improved performanceof SLV estimation.
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A User-Centered Virtual Liver Surgery Planning System
Xiaopeng Yang,Wonsup Lee,Younggeun Choi,Heecheon You,Ji Hyun Kim,Hee Chul Yu,Baik Hwan Cho 대한인간공학회 2012 대한인간공학회 학술대회논문집 Vol.2012 No.11
The present study is intended to develop a user-centered virtual liver surgery planning system called Dr. Liver which has clinical applicability and effectiveness to support liver surgery. Existing virtual surgery systems needs to be customized to liver surgery and improved for better usability and time efficiency. A use scenario of a virtual liver surgery planning system was established through literature review, benchmarking, and interviews with surgeons. Based on the use scenario, detailed liver surgery planning procedures were defined. The major functions of Dr. Liver include (1) extraction of the liver, vessels, and tumors from abdominal CT images, (2) estimation of the standard liver volume of a patient, (3) volumetry of the extracted liver, vessels, and tumors, (4) segmentation of the liver into 8 segments based on structures of the extracted portal and hepatic veins, and (5) support of surgery planning. Novel algorithms were developed and implemented into Dr. Liver for accuracy and time efficiency. Various user-friendly features such as a procedural interface of virtual liver surgery planning were integrated into Dr. Liver for better usability. Dr. Liver would be applied to safe and rational planning of liver surgery.
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Yang Mi,Jingyu Wang,Jinfeng Wu,Xiaopeng Wang,Bin Yang,Ruimin Ren,Yangang Zhang,Xiaobin Yuan,Xuhui Zhang 대한비뇨의학회 2022 Investigative and Clinical Urology Vol.63 No.1
Purpose: Bulbar injury is the most common type of urethral injury. This study investigated the efficacy and safety of a novel technique, local urethral flushing, in preventing stricture formation after blunt bulbar urethra injuries. Materials and Methods: This retrospective study included 205 males diagnosed with straddle injury-induced bulbar urethra injury at the Shanxi Bethune Hospital and First Hospital of Shanxi Medical University between January 2015 and January 2019. Patients were diagnosed by retrograde urethrography and classified as partial or complete urethral rupture according to the urethral integrity after injury. Complete urethral rupture patients received suprapubic cystostomy and received urethroplasty 3 months later. Patients with partial urethral rupture underwent endoscopic urethral realignment by cystoscopic guide-wire guided catheterization. Patients with both injury types were divided into 3 groups. The treatment groups received urethral flushing with 0.05% dexamethasone through a secondary ureteral catheter that locked at the urethral lesion. The blank control groups received normal saline. The negative control groups had only a single ureteral catheter placed. Patients were assessed for pain during catheterization, infection, and stenosis, and followed for at least 2 years. Results: Stenosis rates and length were significantly reduced in the normal saline groups, and even further reduced in the dexamethasone groups. The negative control groups had significantly higher infection rates than patients in the dexamethasone or saline groups. Conclusions: Local urethral flushing with dexamethasone could significantly decrease urethral stenosis rates and severity without increasing patients’ discomfort or infection risk.
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Xiaopeng Yang,Lei Chen,Kihyo Jung,Heecheon You 대한인간공학회 2020 大韓人間工學會誌 Vol.39 No.1
Objective: This study aimed to provide a comprehensive review of literature on 3D and 4D scanning technologies and potential applications of 4D scanning techniques in ergonomic product design. Background: Dynamic anthropometric data is needed to consider the changes of human body dimensions while using a product in the product design process. Method: A literature review was conducted on 34 papers which were selected by the process of title screening, abstract screening, and full text screening. Results: 3D scanning techniques can be classified into three catalogs: laser, structured light, and stereo photogrammetry. Though still challenging, 4D scanning systems self-built or commercialized have been developed. 4D scanning systems have been applied to understanding foot-shape changes and foot kinematics during walking, analyzing human facial movements, and evaluating the fit of sportswear design. Conclusion: 4D scanning systems have great potential in design and evaluation of ergonomic products. Application: The literature survey results can be of help to understand 4D scanning systems and their applicability in ergonomic design and evaluation.
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Yang, Xiaopeng,Yang, Jae Do,Hwang, Hong Pil,Yu, Hee Chul,Ahn, Sungwoo,Kim, Bong-Wan,You, Heecheon Elsevier 2018 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE Vol.158 No.-
<P><B>Abstract</B></P> <P><B>Background and objective</B></P> <P>The present study developed an effective surgical planning method consisting of a liver extraction stage, a vessel extraction stage, and a liver segment classification stage based on abdominal computerized tomography (CT) images.</P> <P><B>Methods</B></P> <P>An automatic seed point identification method, customized level set methods, and an automated thresholding method were applied in this study to extraction of the liver, portal vein (PV), and hepatic vein (HV) from CT images. Then, a semi-automatic method was developed to separate PV and HV. Lastly, a local searching method was proposed for identification of PV branches and the nearest neighbor approximation method was applied to classifying liver segments.</P> <P><B>Results</B></P> <P>Onsite evaluation of liver segmentation provided by the SLIVER07 website showed that the liver segmentation method achieved an average volumetric overlap accuracy of 95.2%. An expert radiologist evaluation of vessel segmentation showed no false positive errors or misconnections between PV and HV in the extracted vessel trees. Clinical evaluation of liver segment classification using 43 CT datasets from two medical centers showed that the proposed method achieved high accuracy in liver graft volumetry (absolute error, AE = 45.2 ± 20.9 ml; percentage of AE, %AE = 6.8% ± 3.2%; percentage of %AE > 10% = 16.3%; percentage of %AE > 20% = none) and the classified segment boundaries agreed with the intraoperative surgical cutting boundaries by visual inspection.</P> <P><B>Conclusions</B></P> <P>The method in this study is effective in segmentation of liver and vessels and classification of liver segments and can be applied to preoperative liver surgical planning in living donor liver transplantation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The present study developed an effective surgical planning method consisting of a liver extraction stage, a vessel extraction stage, and a liver segment classification stage based on abdominal computerized tomography (CT) images. </LI> <LI> An automatic seed point identification method, customized level set methods, and an automated thresholding method were applied in this study to extraction of the liver, portal vein (PV), and hepatic vein (HV) from CT images. </LI> <LI> A local searching method was proposed for identification of PV branches and the nearest neighbor approximation method was applied to classifying liver segments. </LI> <LI> Onsite evaluation of liver segmentation provided by the SLIVER07 website showed that the liver segmentation method achieved an average volumetric overlap accuracy of 95.2%. </LI> <LI> Clinical evaluation of liver segment classification showed that the intraoperative surgical cutting boundaries agreed with the classified segment boundaries. </LI> </UL> </P>
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