Medical Vision Group

The goal of our group is to develop new algorithms for medical image analysis and visualization of medical imagery, as well as to build vision based systems for surgical navigation and surgical planning. Our group at the MIT CSAIL Lab has been collaborating closely for several years with the Surgical Planning Laboratory of Brigham and Women's Hospital. This page contains links to various projects carried on by the group, as well as the web pages of the group members. The projects are clustered into three categories:

Some colorful movies and powerpoint presentations about certain research projects can also be accessed through this site: PPT .

Image Guided Surgery

The projects presented here are aimed at integrating various vision based computer systems into OR. They combine segmentation and registration algorithms developed in the group with the visualization capabilities to aid the surgery.

Diffusion MRI in Neurosurgery

Epilepsy Surgical Planning
The goal of this project is to accurately detect the epilectic foci in brain images and plan their resection during brain surgery.

Anisotropic Modeling of Brain Shift

Intracardiac Surgical Planning

Surgical Navigation
This is a project for enhanced reality visualization of internal anatomical structures overlaid on live video imagery of patients.

Transcranial Magnetic Stimulation

Endoscopic Navigation

Medical Image Analysis

The projects in this section present our work in segmentation, registration and other image analysis algorithms.

Segmentation

  Segmentation under Topological constraints: Topology Correction of Digital Images

 A hybrid approach to the skull stripping problem in MRI

Statistical Framework for the Segmentation of Brain Images

Segmentation of Blood Vessels in MRA

Model based segmentation of Knee MRI

Registration

A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration

2D-3D Rigid-Body Registration

Retinal Image Registration

Non-rigid registration of breast MRI

Functional Neuroimaging

Functional Brain Imaging combining DOI and fMRI

Spatial Regularization of fMRI Activation Maps

Exploratory Identification of Cardiac Noise in fMRI Images

Functional MRI Analysis

Structural Neuroimaging

Neural Connectivity from Diffusion Tensor MRI

Visualization

The results of segmentation and/or registration have to be visualized in a way that will make it easy for the user to interpret them. This section introduces the group effort in visualization of surface models, combining them with other types of imagery and textual information.

Virtual Endoscopy

3D Slicer

Interactive Anatomy Browser
Anatomy Browser is a tool for visualization and integration of various kinds of medical information. Its applications include interactive anatomy atlases, image guided surgery and model driven segmentation.

Patient specific anatomical models
A collection of patient specific 3D models demonstrating various segmentation and registration algorithms.

People in the Group

Alumni

Back to the MIT AI Lab page.

If you are a member of the group and would like to add a project to this page, click here .

Florent Segonne
Last modified: Th Jan 11 2005