Lei Pan

潘磊

Master of Science & Engineering

Computer application technology

Image-Guided Surgery and Therapy Laboratory

School of Software, Shanghai Jiaotong University

 

Email: lionpan@sjtu.edu.cn

Laboratory: 5209 Software Building SJTU

Phone: +86-21-34204391

Mobile: +86-13774251654

Mailing: 5209 Software Building, Shanghai Jiaotong University, 800 Dongchuan Road, Min-Hang District, 200240, Shanghai, China

Biography

Lei Pan, came from Huizhou, which is a beautiful (comfortable) seashore city in China's southern province Guangdong, is currently a Master Student (expected graduation date: March, 2011) in School of Software Engineering, Shanghai Jiaotong Univeristy. He received his Bachelor degree in Software Engineering from Shanghai Jiaotong Unversity, China in summer 2008.

 

Now he is doing research work at the Image-Guided Surgery and Therapy Laboratory (IGST), supervised by Prof. Lixu Gu. And he is now working as teaching assistant for the school and research assistant for the professors. He is always an active member in the campus. Lei participated in Student Council Organization of the school and led the group of study and research for bachelor students. He was the major member of the basketball team as a point guard for school of software engineering.

Research interests

His research interests include Computer Graphics, Biomechanics, Finite Element Method, Organ morphological analysis, 3DImage Segmentation, GPU algorithm and accelerating in image processing, Soft issue deformation modeling.

Education

Lei Pan finished his senior high school study from 2001 to 2004 and junior from 1998 to 2001 at Huizhou No.1 Middle School. Lei Pan studied in Shanghai Jiaotong University, China from September,2004 to June, 2008 and received his Bachelor degree in Software Engineering in summer 2008.

Research

GPU-based image processing

Large scale of 3D medical image data can be efficiently processed by GPU based on its parallel computation capability. From Cg and HLSL for old type GPU(Nvidia™ 6 Series) to CUDA for new type GPU(Nvidia™ 8 Series), GPU is a powerful tool and has been widely used in my research work for segmentation and visualization.

3D medical image segmentation

Image Segmentation is part of my research work at IGST laboratory. I was segmenting brain, abdomen, vertebra, aorta using kinds of basic segmentation algorithms from September, 2006 to October, 2007.

Organ Morphological analysis

Morphological analysis is the basic of human organs segmentation if using morphological algorithm. Erosion, dilation and other methods can affect the final segmental results.

MIPS Visualization

It is part of my segmentation work. MIPS is a visualization algorithm which supplies a specific view and useful information of the 3D objects. It is comparatively easy-implemented in GPU.

Multi-Level immersing Watershed Segmentation

Watershed is a basic algorithm in segmentation. However it always brings to an over-segmented result. Multi-Level immersing watershed was proposed to reduce the region that is over-segmented. I was doing my research on it and applied it to the brain from December, 2007 to April, 2008.

Deformation simulation in Finite Element Method

Deformation model is my current major research work at IGST laboratory. My deformation model is based on tetra mesh and finite element method. It is mainly applied for simulating human soft issues and organs when doctors are operating.

Matrix solver on GPU

FEM introduced large scale of matrix during computing the displacement of each finite element. Matrix computation can be accelerated by general purpose GPU. Implementing matrix solver on GPU is part of my current work.

Linear and Non-linear FEM

Research on both linear and non-linear fem deformation on common models. Comparison between the deformed results. Analysis the boundary condition on non-linear deformation model.

Spine Operation Project

Current project in IGST cooperating with Renji Hospital. One of the application of FEM deformation. Simulate and calculate the rotation, translation and force distribution on inter-vertebra disc.

Publications

First Author:

Implementation of medical image segmentation in CUDA
Lei Pan; Lixu Gu; Jianrong Xu

International Conference on Technology and Applications in Biomedicine, 2008. (ITAB 2008). 30-31 May 2008 Page(s):82 - 85

Digital Object Identifier 10.1109/ITAB.2008.4570542

Abstract
As the fast development of GPU, people tend to use it for more general purposes than its original graphic related work. The high parallel computation capabilities of GPU are welcomed by programmers who work at medical image processing which always have to deal with a large scale of voxel computation. The birth of NVIDIA® CUDA™ technology and CUDA-enabled GPUs brought a revolution in the general purpose GPU area. In this paper, we propose the implementation of several medical image segmentation algorithms using CUDA and CUDA-enabled GPUs, compare their performance and results to the previous implementation in old version of GPU and CPU, indicate the advantages of using CUDA technology and how to design algorithm to make full use of it.

 

An Improved Facial Orthopedic Surgery Planning System with Pre-processing FEM Modeling

Lei Pan, Lixu Gu, Zhennan Yan, Sizhe Lv, Bo Zhu

18th International Conference on Artificial Reality and Telexistence (ICAT08)

Abstract

Finite Element Method(FEM), which is based upon continuum mechanics and the physics of materials, is one of the most widely used deformation method in digital biomedical area. Unlike other light-weighted deformation models (Mass-Spring, Free Form, Chainmail, BEM, etc)using in other areas, FEM gets the most accurate deforming results in the cost of large scale of computation. In this paper, we present an improved Facial Orthopedic Surgery Planning system using pre-processing FEM modeling. This planning system calculates and simulates the bone-reshaped surgical result of facial soft issue deformation more quickly. According to the specific demands of the facial surgery planning system, we designed and implemented FEM modeling in our own way and improved the computational efficiency. Finally we validate and represent the deformation results, compare our method and results with the traditional one.

Co-Author:

Simulation of organ deformation using boundary element method and meshless shape matching

Bo Zhu,; Lixu Gu,; Jingsi Zhang,; Zhennan Yan,; Lei Pan,; Qiang Zhao,;
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE 20-25 Aug. 2008 Page(s):3253 - 3256

Abstract
In this paper, a novel approach to perform real-time simulation of the deformation of anatomical organs is proposed for virtual surgery study. The method, which is both physics and interactivity motivated, is composed of two algorithms: boundary element method and meshless shape matching. We employ boundary element method to simulate a precise global deformation, and use meshless shape matching method to achieve low latency. In addition, a state machine is applied to control the computation patterns of deformation. The initial experiment reveals that the proposed approach can simulate organ deformations both efficiently and accurately.

 

Delaunay Mesh Reconstruction From 3D Medical Images Based On Centroidal Voronoi Tessellations

Sizhe Lv, Xubo Yang, Lixu Gu, Xiaojin Xing and Lei Pan

The International Conference on Computational Intelligence and Software Engineering 2009 (CiSE 09)

Abstract

Reconstructing meshes from 3D medical images is an important but complicated task, which provides a fundamental data structure for Bio-medical applications. In this paper, a novel and easily implemental solution is proposed. Instead of following the popular methods, we sample on the medical images with centroidal Voronoi tessellations, and then build the Delaunay mesh from the sampled points directly. By applying the algorithm on the CT images and evaluating the mesh quality metrics, the solution presents to be good at reconstructing complicated objects and generates optimized meshes, which shows that it is suitable for anatomical structure modeling.

 

A Saliency Constrained Multi-level Immersion Watershed transformation for Medical Image Segmentation

Xiaopeng Peng, Lixu Gu, Lei Pan, Qionghua Weng

International Symposium on Bioelectronics and Bioinformatics 2009 (ISBB 2009).

Abstract

Omitted

Working

Hitachi Image Group 2006-2008

Hitachi cooperates with SJTU-IGST for the Research of Medical Image Processing. Lei Pan is one of the Key-Members for the project and takes charge in 3D Image Visualization, Organ and Issue reconstruction, User Interface, Human-System Interaction, MIPS Visualization.

Intel China Software Center, Shanghai 2008 Summer

Intel Software Center Shanghai cooperates with School of Software, Shanghai Jiaotong University in 2008 Summer projects. One is DirectX to OpenGL API Translator and the other is GPU simulator architecture analysis. Lei Pan led the both team and worked as teaching assistant.

School of Software Engineering, SJTU

As a student of School of Software Engineering, Lei Pan also works as Vice-Class Representative, Vice-President of the Study and Research Group of the School, Teaching assistant of C++ Programming, Data structure and Algorithm Classes and Teacher taking charge of frosh class.

Artifacts

Level-Ace Online Bookstore deployed on distributed database system

Web application. Course Project in “Introduction of Software engineering”. An Online bookstore system realized by J2SE and Flash technology, designed in MVC pattern. Using JSP, servlets, sessions, cookies, RMI, cloudscape and JAVA beans.

Tortoise Drawing and Logo language Compiler

Summer project in 2006. It is a Logo language editor, compiler and tortoise drawer implemented by Microsoft MFC. It is based on several advanced dialogs which handles the command of editing, compiling, drawing and user interacting. It supports extern coding, result export, embedded functions, recursions, skin changes, etc.

Command line program

Level-Set application in heart image

An application of an existed level-set algorithm on 2D and 3D heart images.

MIPS Visualization using GPU

A visualization requirement from Hitachi Medical Group. Using MIPS method to display 3D medical images and their segmentation results. MIPS is implemented in GPU using HLSL to compute the rotation of the images in parallel. It supports kinds of user interaction

DirectX 3D medical image Viewer and Reconstructor

A complete system requirement from Hitachi Image Group, China. This system is used for 3D medical image segmentation. The main functions includes: read different format of images, pre-processing (thresholding, binarization, auto-seed selection), segmentation, user interaction, post-process(cutting and mending), 3D result reconstruc- tion. The system is implemented in Managed C++ and DirectX.

Command line program

Easy Java Compiler

Stage light and shadow System

Course project in “Computer Graphics”. It is a system that simulates the stage light and shadow of the actors and other objects. User can control the number, color and position of the lights around the user defined stage and also the size, texture and moving action of the actors. It is an application of several principles of Computer Graphics and is implemented in OpenGL.

3D Snow simulation

A small program that simulates large amounts of moving objects in the scene implemented in Managed C++/DirectX and GPU. The number of flakes is decided by the memory of GPU. It consider the influence of the gravity, wind force, velocity, density and acceleration.

Hobbies:

Basketball

Lei was major member of Grade team in High School and College team in school of Software engineering as Point Guard or Shooting Guard and won the games among schools. His favorites basketball player is “The Answer” Allen Iverson.

Sneaker collection

Lei was influenced by the sneaker culture since he was in primary school. Lei owns a full series collection of Allen Iverson’s sneakers.

Music

Lei is familiar with and likes Cantonese Pop music very much. His favorites singer is Eason Chan.

Movie

Lei always watches movies on his spare time. He pays special attention to the digital vision effect, which is related to his research work (like object deformation), shown in the scene of the movie.

 

Last Update: September 2, 2009, Lei Pan, lionpan@sjtu.edu.cn

Copyright ©2006-2008 Lionpan, Image-Guided Surgery and Therapy Laboratory, School of Software Engineering, 5209 Software Building, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai, 200240, P.R.China.