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Alexandra
Lauric |
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I am a fifth-year PhD student at My main interests are Computer Vision and
Computational Geometry and my research area is medical imaging. I currently
work on automatic detection and shape analysis of intracranial aneurysm. My
advisors are Prof. Eric
Miller and Prof. Sarah
Frisken. We work in collaboration with Dr. Adel Malek from Research
links: Computer Graphics research group web page. Computational
Geometry at Tufts Computational Geometry research group web page. In 1989, the National Library of Medicine
(NLM) started The Visible Human Project with the goal of creating a digital
atlas of the human body. In 1991, full CT and MRI data sets were collected of
a fresh cadaver (39-year old convicted murderer Joseph Paul Jernigan).
Physical sections of the cadaver were also collected and photographed at high
resolution. In 1995, CT, MRI and RGB photos were collected of the fresh
cadaver of a 59-year-old The National
Alliance for Medical Imaging Computing (NA-MIC) A multi-institutional, interdisciplinary team
of computer scientists, software engineers, and medical investigators who
develop computational tools for the analysis and visualization of medical
image data. The purpose of the center is to provide the infrastructure and
environment for the development of computational algorithms and open source
technologies, and then oversee the training and dissemination of these tools
to the medical research community. Bill Lorensen: Marching Through
the Visible Man Experiments done at GE research lab with the fresh CT data set. A guide on using VTK to extract skin, bone, muscle and bowels from the Visible Man data set. Animations, hundreds of graphics and thousands
of descriptive links to study the anatomy of the human body. Ideal reference site to find out more about
the medical description used by doctors. Open
Source tools to process, analyze and visualize medical images: ITK - Insight
Segmentation and Registration Toolkit A powerful open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. See my guide on how to install ITK and VTK. An open source, freely available software system for 3D computer graphics, image processing, and visualization. VTK supports a wide variety of visualization algorithms including scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK consists of a C++ class library, and several interpreted interface layers including Tcl/Tk, Java, and Python. See my guide on how to install ITK and VTK. An intuitive and interactive system for volume visualization. VolView is a commercial product, but a restricted version is available for free. I use it to visualize the results of my ITK scripts. An open-source, multi-platform, extensible application designed for visualizing large data sets. I use it to visualize the 3D models I create with VTK. A free DICOM viewer and converter dedicated to
people working with DICOM files. DiacomWorks is used to view volumes
consisting of a series of 2D images. DICOM is a file format introduced by the The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical data. Slicer integrates several facets of image-guided medicine into a single environment. It provides capabilities for automatic registration (aligning data sets), semi-automatic segmentation (extracting structures such as vessels and tumors from the data), generation of 3D surface models (for viewing the segmented structures), 3D visualization, and quantitative analysis (measuring distances, angles, surface areas, and volumes) of various medical scans. Books: ·
Insight
into Images: Principles and Practice for Segmentation, Registration, and
Image Analysis
· The ITK Software Guide: The Insight Segmentation and Registration Toolkit (version 1.4) ·
The
Visualization Toolkit, Third Edition Other
links: A step by step guide on how to download and
install ITK and VTK on Windows machines. Learn from my mistakes. List of the classes
I have taken so far. |