DLPFC Semi-automatic Segmentor: With minimal user interaction, this rule-based algorithm will segment the DLPFC from an input volume. This is a Slicer.

Slides:



Advertisements
Similar presentations
NA-MIC National Alliance for Medical Image Computing National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D.
Advertisements

NA-MIC National Alliance for Medical Image Computing Georgia Tech Contributions to NAMIC Allen Tannenbaum.
Collaborative Filtering in iCAMP Max Welling Professor of Computer Science & Statistics.
Corpus Callosum Segmentation Tool Project Martin Styner Department of Computer Science & Psychiatry Neuro Image Analysis Laboratory.
NA-MIC National Alliance for Medical Image Computing Slicer Custom Modules Steve Pieper, PhD.
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering End-user Platform Steve Pieper Isomics, Inc.
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering End-user Platform Steve Pieper Isomics, Inc.
-1- Pujol S et al. National Alliance for Medical Image Computing 3D Visualization of FreeSurfer Data Sonia Pujol, Ph.D. Silas Mann, B.Sc. Randy Gollub,
NA-MIC National Alliance for Medical Image Computing NAMIC-Kit Update Will Schroeder Jim Miller Bill Lorensen.
NA-MIC National Alliance for Medical Image Computing NAMIC Engineering Activities September 8, 2005.
Dinggang Shen Development and Dissemination of Robust Brain MRI Measurement Tools ( 1R01EB ) Department of Radiology and BRIC UNC-Chapel Hill IDEA.
NA-MIC National Alliance for Medical Image Computing NA-MIC Software Engineering Bill Lorensen GE Research NA-MIC Engineering Core PI.
Automated Beverage Pong Table Tom Enzweiler Adam Mahood Christina Powers Paul Scanlon Team Name: “House Rules” EE Senior Design Fall 2010.
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering Highlights, Aims and Architecture Will Schroeder Kitware.
NA-MIC National Alliance for Medical Image Computing Core 1 & Core 3 Projects.
NCBC for NAMIC January Rationale Computational Anatomy specific analysis and statistics capability Create the following for NCBC – itk based statistical.
Segmentation support in Slicer Csaba Pinter Laboratory for Percutaneous Surgery, Queen’s University, Canada.
Object Management Group (OMG) Specifies open standards for every aspect of distributed computing Multiplatform Model Driven Architecture (MDA)
National Alliance for Medical Image Computing Programming Half-Week January 2006 Clinical/End-User Applications Rule Based Segmentation.
SimITK and SimVTK: ITK and VTK in Simulink DG Gobbi, P Mousavi, KM Li, J Xiang, A Campigotto, A LaPointe, G Fichtinger, P Abolmaesumi Medical Image Analysis.
William Schroeder, Ph.D. §, Andy Cedilnik §, Sebastien Barré, Ph.D. §, William Lorensen ‡, James Miller, Ph.D. ‡, Daniel Blezek, Ph.D. ‡ § Kitware Inc.,
NA-MIC National Alliance for Medical Image Computing AHM: Dissemination Update Tina Kapur, Ph.D., Co-PI Steve Pieper, Ph.D., Co-PI.
NA-MIC National Alliance for Medical Image Computing NAMIC Software Development Workshop January 24-25, 2005 MIT Computer Science and.
NA-MIC National Alliance for Medical Image Computing National Alliance for Medical Image Computing: NAMIC Ron Kikinis, M.D.
NA-MIC National Alliance for Medical Image Computing Slicer and ITK Raul San Jose.
Future NCRR The Future of SCIRun and BioPSE. Future NCRR 6 Months Ago: The Next 12 Months Preparing for Renewal: Users & Pubs Usability Domains UI wrapping.
PROG Developing Robust Modular Software.. Objectives What do we want? Programmatic Elements in a Business System. Logic Layer. Persistence (Data)
Interface to Robots Breakout Group October 20, 2006 Peter Kazanzides Kevin Cleary John Kroon Grace Peng Hector Lopez Chris Hasser Dwight Yen Noby Hata.
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering Computational Platform Jim Miller GE Research.
NA-MIC National Alliance for Medical Image Computing Core 1b – Engineering Data Management Stephen R. Aylward Kitware, Inc.
NA-MIC National Alliance for Medical Image Computing NAMIC Software Development Workshop December 9-10, 2004 Surgical Planning Lab, Brigham.
1 Week 11 - Underlying Principles for Systems Development IT2005 System Analysis & Design.
ECE 477 DESIGN REVIEW TEAM 14  SPRING Project Overview  Target Audience: Amateur Musicians  Obtain a “Guitar Tab” format of music  View Tabs.
NA-MIC National Alliance for Medical Image Computing Programming Week Kickoff MIT, June 27, 2005.
“Customer Credit Holds” impact on Order Fulfillment John Hallsworth Top Team, Inc.
VIEWS b.ppt-1 Managing Intelligent Decision Support Networks in Biosurveillance PHIN 2008, Session G1, August 27, 2008 Mohammad Hashemian, MS, Zaruhi.
National Alliance for Medical Image Computing Bayesian Classifier Image Filter John Georgia Tech Luis Kitware.
Chapter 4. CONCEPT OF THE OPERATING SYSTEM MANAGING ESSENTIAL FILE OPERATIONS.
Fan Assembly Driven by Magnetic Fields
Summary of Scientific Goals & Features Needed to Achieve Them
Presented by FACADE PATTERN
NAMIC Software Development Environment
Dynamic management of segmented structures in 3D Slicer
2007 Project Half Week ITK Registration Parallelization: Develop implementations of ITK registration methods to take advantage of multi-core and multi-processor.
From Scalars to Tensors: How to add new volume types?
Architecture Concept Documents
Shape Analysis: Description &Framework Develop a generally applicable description for statistical shape analysis studies, as well as a computational framework.
Riemannian DTI Filters: Develop algorithms and ITK modules for basic image processing on tensor fields using Riemannian approaches. Team Plan/Expected.
Pipeline Leak Detection Device
Team Plan/Expected Challenges
Software Agents We do the work for you...
These two sections should be completed by Jan 31, 2006.
DLPFC Semi-Automatic Segmentor
NAMIC Software Development Workshop
Scripts to combine UNC Shape Analysis with Spherical Wavelet Features
MODULE II Semi-Automatic Segmentation
2006 Summer PrWeek Slicer3 UI: Design and implement Slicer3’s UI; provide C++ infrastructure for module UI development. Team Plan/Expected Challenges/Publication.
Gordon Erlebacher Florida State University
Coupling Interaction: It occurs due to methods of a class invoking methods of other classes. Component Coupling: refers to interaction between two classes.
2007 Project Half Week Transition of Slicer2.x Modules to Slicer3: FreeSurfer Integration of FreeSurfer scalar overlays and colour lookup tables into Slicer3.
Transition of Slicer2.x Modules to Slicer3: Fiducials
Mapped Hexahedral Meshing: Evaluate the use of multi-resolution itk::fem registration for mapped meshing Team Plan/Expected Challenges/Publication Ritesh.
Grid Interface for Slicer3: Make Slicer 3 work on a set of clusters.
2006 Summer PrWeek Slicer3 for Image Guided Therapy (IGT): Convert vtkMRAblation and vtkFMRIEngine to Slicer3 modules. Team Plan/Expected Challenges/Publication.
LONI Pipeline Integration/ UNC shape analysis
 Is a machine that is able to take information (input), do some work on (process), and to make new information (output) COMPUTER.
Slicer Timeline GUI Thread Processing Thread
2007 Project Half Week Transition of Slicer2.x Modules to Slicer3: ModelMaker Extend ModelMaker to use MRML Color nodes. Team Plan/Expected Challenges/Publication.
Mesh Untangling: 2006 Summer PrWeek Team
2006 Summer PrWeek Correspondence Based on Local Curvature: Developing methods in ITK for using local curvature features to establish population based.
Presentation transcript:

DLPFC Semi-automatic Segmentor: With minimal user interaction, this rule-based algorithm will segment the DLPFC from an input volume. This is a Slicer project but may have components that are appropriate for ITK. Team Plan/Expected Challenges Ramsey Al-Hakim, GT (algorithms) (contact) John Melonakos (algorithms) Alex Yarmakovich, Isomics (software) Jim Fallon, UCI (clinical) Algorithms: start with the Matlab implementation and port to Slicer then explore porting to ITK. Software: computational speed. Intuitive user interface. Clinical: Validation of results. Accomplished by end of Programming Week Build Slicer user interface. Final Step: Wrap ITK Bayesian Classifier Filter in VTK, and add to module.