Title: 3D Slicer
13D Slicer NA-MICOverview and Applications
2Acknowledgments
- F. Jolesz, R. Kikinis, C. Tempany, P. Black, S.
Wells, CF. Westin, M. Halle, N. Hata, T. Kapur,
A.Tannenbaum, M. Shenton, E. Grimson, P.Golland,
W.Schroeder, J. Miller, N. Aucoin, K. Hayes, S.
Barre, W. Plesniak, R. Gollub, S. Pujol and many
more.
3Overall Goal for NA-MIC
- Why Medical Research?
- To Help Patients!
4How to Make this Happen?
- Enable World-Class Biomedical Research
- Develop a Comprehensive Platform
- Create a Community of Developers and Users
- Ensure Maximum Reusability of Software
5Autism Development
- Correlate Localized Brain Development with
Observed Behavioral Characteristics of Autism - Structural and Diffusion Imaging at 2yo and 4yo
- Cortical Thickness and Subcortical Volume Metrics
Blue Growth Red Atrophy Green No Change
Images Hazlett et al
6Schizophrenia
- Structural and Diffusion to Discover Disruptions
Correlated with Symptoms - First Generation DBP
- Regional Analysis of FA Based on Manual Tract
Identification - Second Generation DBP
- Stochastic Tractography, Improved Metrics,
Registration
Images Ngo et al.
7Prostate Disorders
- Segmentation tool for Brachytherapy Planning and
Biopsy - Navigation for Biopsy
- Future FUS and Robot Applications
Haker SJ, Mulkern RV, Roebuck JR, Barnes AS,
Dimaio S, Hata N, Tempany CM. Magnetic
resonance-guided prostate interventions. Top Magn
Reson Imaging. 2005 Oct16(5)355-68.
8Lupus Lesions
- Automatic Analysis of White Matter Abnormalities
in Neuropsychiatric SLE (Lupus) - About 1.5 Million Americans with Lupus,
Underlying Pathologic Processes Unknown
Possibly Vascular
Hypointense on T1
Hyperintense T2
Hyperintense on FLAIR
Images Bockholt et al
9Patient-Specific Finite Element Model Development
- Iowa Kiran H. Shivanna, Vincent A. Magnotta,
Nicole M. Grosland, - NA-MIC Steve Pieper, Curt Lisle
- Automate the generation of high quality
hexahedral meshes - Inclusion of soft tissues such as cartilage
- Automated Segmentation
- Validation
- Published / Accepted
- Devries NA, Gassman EE, Kallemeyn NA, Shivanna
KH, Magnotta VA, Grosland NM. Validation of
phalanx bone three-dimensional surface
segmentation from computed tomography images
using laser scanning. Skeletal Radiol. 2008
Jan37(1)35-42. Epub 2007 Oct 25. - Gassman EE, Powell SM, Kallemeyn NA, DeVries NA,
Shivanna KH, Magnotta VA, Ramme AJ, Adams BD,
Grosland NM, Automated Bony Region Identification
Using Artificial Neural Networks Reliability and
Validation Measurements. Skeletal Radiology
(accepted / online). - Grant funding NIH
- R21 (EB001501)
- R01 (EB005973)
10Alcohol and Stress
- Primate (Rhesus and Vervet) Models to Study the
Effect of Chronic Alcohol Self-Administration on
Brain Structure and Function - Compare Mother-Reared vs. Nursery-Reared
- Apply Automated Segmentation Tools to Assess
Cortical and Subcortical Regions (EMSegmenter,
Pohl et al)
Rhesus template and atlas graciously provided
by Martin Styner and collaborators
Images Wyatt et al
11Image Guided Therapy (IGT)
- Is the active visualization of medical images to
aid in decision making during a procedure. - Allows physician to
- See Beyond the Surface
- DefineTargets
- Control the Interventions
- Enables new procedures, decreases invasiveness,
optimizes resection
Dimaio SP, Archip N, Hata N, Talos IF, Warfield
SK, Majumdar A, Mcdannold N, Hynynen K, Morrison
PR, Wells WM 3rd, Kacher DF, Ellis RE, Golby AJ,
Black PM, Jolesz FA, Kikinis R. Image-guided
neurosurgery at Brigham and Women's Hospital.IEEE
Eng Med Biol Mag. 2006 Sep-Oct25(5)67-73
12Mapping
Provided by Archip, Warfield
Alignment of all pre-operative datasets to the
intra-operative images achieved during the
neurosurgery.
Archip N, Clatz O, Whalen S, Kacher D, Fedorov A,
Kot A, Chrisochoides N, Jolesz F, Golby A, Black
PM, Warfield SK. Non-rigid alignment of
pre-operative MRI, fMRI, and DT-MRI with
intra-operative MRI for enhanced visualization
and navigation in image-guided neurosurgery.
Neuroimage. 2007 Apr 135(2)609-24
13Liver Lesion Treatment
- Needle Placement for CT-Guided Radio Frequency
Ablation (RFA) - Unresectable Hepatocellular Carcinoma (HCC) and
Liver Metastases - Open Source Environment
- Slicer3 and IGSTK
- Automated Liver Segmentation
- Path Planning Tools for Multiple Overlapping
Lesions - Validation on Swine Model
Images Cleary et al
14NA-MIC Governance
- Software Sharing
- http//grants1.nih.gov/grants/guide/rfa-files/RFA-
RM-04-003.html - software should be freely available
- permit the commercialization of enhanced or
customized versions - include the ability of researchers outside the
center and its collaborating projects to modify
the source code and to share modifications
15BSD Style License
- Open Source
- No license fees
- No restriction on use
- Clinical and commercial uses do not require our
permission - No guarantees
- User is responsible for making sure that the
software works, we promise nothing. Same for
compliance with all regulations. - E.g. if you want to use our software for clinical
trials, you have to apply for the proper
authorizations at your institution - NO requirement to give your code back to open
source (NOT viral). - You can contribute code back to us, if you want
to do that and it is our decision if we will
accept it. - Acknowledge our contribution
- See http//www.slicer.org for more information
16FOSS A Public Highway
- Open-source is like a Public Road System
- Provides Infrastructure for a Variety of Uses
- Driveways can Lead to Anything
- a Public Park
- a Private Facility
- FOSS Free Open Source Software
Provided by Pieper, Kikinis
17NA-MIC A Network of Peers
- Core 4 Service
- Kitware Will Schroeder
- Core 5 Training
- MGH Randy Gollub
- Core 6 Dissemination
- Isomics Steve Pieper, Tina Kapur
- Core 7 Management
- BWH S. Manandhar
- Leadership
- BWH Ron Kikinis, (Overall PI)
- Core 1 Algorithms
- Utah Ross Whitaker (Core 1 PI)
- MIT Eric Grimson
- UNC Guido Gerig
- MGH Bruce Fischl, Dave Kennedy
- GaTech Allen Tannenbaum
- Core 2 Engineering
- Kitware Will Schroeder (Core 2 PI)
- GE Jim Miller
- Isomics Steve Pieper
- UCSD Mark Ellisman
- UCLA Art Toga
- Core 3 DBP 2004-2007
- BWH Martha Shenton
- Dartmouth Andy Saykin
- UCI Steve Potkin
- UofT Jim Kennedy
Provided by Pieper, Kikinis
18Dissemination and Training
- National and International Events
- MIT, MGH, UNC, EPFL, NIH, UNM, UCSD
- All Materials on Wiki
- Project Weeks
- Full Week Each Summer
- ½ Week at Winter AHM
- Workshops
- MICCAI 2005, 2006, 2007, 2008..
- OHBM, RSNA, Munich, NCI
19What is 3D Slicer?
- Reference NA-MIC Kit Implementation
- A platform for image analysis and visualization
- Current Releases 2.7 and 3.0
- 2.7 most features and documentation
- 3.0 focus of current activity
- A freely-downloadable program
- Source code and executables available for
Windows, Linux, and Mac OS X - Slicer is a research platform
- NOT an FDA approved medical device
- NOT finished some parts will work better than
others
20Slicer Features
- I/O
- Image DICOM, NIfTI, Analyze, Meta, NRRD, MGZ...
- Surface vtk, vtp, stl, freesurfer, fiber bundle
- Coordinate Systems Patient-Referenced Data
- Visualization Volume Rendering, Surfaces, Slices
Planes, Clipping, Volume Overlays... - Filtering Denoising, Nonlinear/Aniostropic
Smoothing, Format Conversion - Registration Multimodal (e.g. CT/MR), Rigid,
Affine, BSpline. Apply Transforms to other
volumes.
21More Slicer Features
- Segmentation Manual Editor, Semi-Automated
(Region Growing), Statistical Classifiers, Atlas
Based - Diffusion Imaging DICOM Import, Tensor Tools,
Tractography - Quantification Volume Measurements, Points,
Lines - Real-time Networked Trackers and Volume I/O
- And more...
- Meshing, Fiducials, Batch Processing, Remote Data
I/O,
22Integrated Scene
- XML-Based MRML File Stores Scene Description
- Volumes (Images, Label Maps)
- Models
- Hierarchical Affine Transforms
- Scene Data (Cameras, Colors, Fiducials, etc).
- Manipulated in World Coordinates based on Patient
RAS (Right-Anterior-Superior)
Provided by N. Archip et al