Chan Wing-Yin is currently a MPhil candidate in Department of Computer Science and Engineering at the Chinese University of Hong Kong. He is studying under the supervision of Prof. Pheng-Ann Heng. He received his B.Eng. degree in Computer Engineering in 2007 at the same university. His research interest includes :

• Medical imaging
• Virtual reality simulation
• Non-Photorealistic rendering

Beam Width Aware Real Time Ultrasound Simulation

Real-time and realistic simulation of medical ultrasound is a challenging task due to complex acoustic physics and a lot of adjustable parameters. We propose an algorithm to simulate the sound beam from ultrasound transducer.
Our proposed method can generate ultrasound images at a rate above 15 frames per second.
Results of our method demonstrate the feasibility of our method.

[Under review]

Ultrasound-Guided Organ Biopsy Simulation

Ultrasound-guided biopsy is one of the most fundamental, but difficult, skills to acquire in interventional radiology. Intensive training, especially in the needle insertion, is required for trainee radiologists to perform safe procedures. In this paper, we propose a virtual reality simulation system to facilitate the training of radiologists and physicians in this procedures. Key issues addressed include a 3D anatomical model reconstruction, data fusion of multiple ultrasound volumes and computed tomography (CT), realistic rendering, interactive navigation, and haptic feedbacks in six degrees of freedom (DOF). Simulated ultrasound imagery based on real ultrasound data is presented to users, in real-time, while performing an examination on the needle placement into a virtual anatomical model. Our system delivers a realistic haptic feeling for trainees throughout the simulated needle insertion procedure, permitting repeated practices with no danger to patients.

Dong Ni, Wing-Yin Chan, Jing Qin, Yingge Qu, Yim-Pan Chui, Simon S.M. Ho, Pheng-Ann Heng
"An Ultrasound-Guided Organ Biopsy Simulation with 6DOF Haptic Feedback" (pdf) (bib)
The 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008

Chan WY, Qin J, Chui YP, Yu SC, Ho SM, Heng PA.
"A Six Degree-of-Freedom (DOF) Haptic Model for Percutaneous Needle Insertion Training" [link]
The 94th Scientific Assembly and Annual Meeting of the RSNA 2008, Chicago, Illinosis, USA, 2008

Video : [wmv] 320x240 2.29Mb

Perception-aware Depth Cueing for Illustrative Vascular Visualization

Illustrative visualization of complex vasculature has been one of the indispensable components in medical education and training. We propose a rendering pipeline which incorporates various perception-aware techniques for informative vascular illustration. Chromostereopsis rendering, isophote-based line hatching, and enhanced silhouette drawing have been integrated seamlessly through multiple shader passes. With advanced GPU acceleration techniques including render to texture (RTT), framebuffer object (FBO) and fast image convolution, a real-time frame-rate can be achieved.

Alan Chu, Wing-Yin Chan, Jixiang Guo, Wai-Man Pang, Pheng-Ann Heng
"Perception-aware Depth Cueing for Illustrative Vascular Visualization" (pdf) (bib)
International Conference on BioMedical Engineering and Informatics, BMEI 2008.

Video : [wmv] 320x240 2.29Mb

An Automatic Annotation Tool for Virtual Anatomy

Visible Human Project (VHP) gains an increasingly concern all over the world since it was first initiated in the 90's due to the benefits it brings to medical research, education and training. With the precise visible human datasets, tailor-made applications can be developed for various purposes. We propose a novel computing tool for annotating anatomical structures in virtual anatomy applications. Our automatic labeling algorithm can also be applied to other related applications, e.g. virtual acupuncture, which involves similar anatomic annotation requirements. A real-time interactive application which will automatically generate tissues labels was developed. The user can gain further description of a tissue by clicking on the corresponding label and also drag the labels to desired positions.

Wing-Yin Chan, Po-Wing Chow, Yim-Pan Chui, David Tai-Wai Yew, Pheng-Ann Heng
"An Automatic Annotation Tool for Virtual Anatomy" (pdf) (bib)
IEEE International Conference on Integration Technology, 2007, ICIT 2007.