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Slicer for Neurosurgical Planning

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6th Annual World Congress for Brain Mapping and Image Guided ... Endoscopy (broncho-, neuro-, feto-scopy) Slide courtesy N. Hata. Slicer3 Features for Planning ... – PowerPoint PPT presentation

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Title: Slicer for Neurosurgical Planning


1
Slicer for Neurosurgical Planning
  • IBMSPS 2009
  • 6th Annual World Congress for Brain Mapping and
    Image Guided Therapy
  • Harvard Medical School, Boston MA USA
  • Neuroimage Analysis Workshop Slicer3 Open-Source
    Software
  • for 3D Visualization and Image-Guided Therapy
  • Tuesday August 25, 2009
  • Surgical Planning Laboratory, 1249 Boylston St.
    Boston MA USA
  • Presenter Lauren ODonnell, Ph.D.

2
Acknowledgements
  • F. Jolesz, C. Tempany, A. Golby, 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, A.
    Yarmarkovich, W. Lorensen, X. Tao, K. Hayes, S.
    Barre, W. Plesniak, R. Gollub, S. Pujol and many
    more.

Slide courtesy R. Kikinis
3
3D Slicer History
  • Open-source software application
  • For computer scientists
  • For clinical researchers
  • Initiated in 1998
  • Surgical Planning Laboratory at the Brigham and
    Women's Hospital
  • MIT Artificial Intelligence Laboratory
  • Slicer3
  • New, completely rearchitected
  • May of 2009 version 3.4

Images www.slicer.org
4
Slicer in IGT
  • To facilitate application of state-of-art medical
    image processing in IGT
  • Software design to support common functions
    across applications
  • Brain (biopsy, craniotomy, NdYAG laser ablation)
  • Prostate (brachytherapy, biopsy)
  • Liver and kidney (Microwave, Cryo, laser
    ablation)
  • Endoscopy (broncho-, neuro-, feto-scopy)

Slide courtesy N. Hata
5
Slicer3 Features for Planning
  • Image registration
  • Align multiple modalities by mutual information
  • Image segmentation
  • Tumor visualization in 3D
  • Image overlay
  • fMRI and anatomical images
  • Diffusion tensor
  • Anisotropy and orientation
  • Tractography of white matter
  • Integrated scene concept

Image provided by N. Hata
6
Slicer3 Integrated Scene
  • XML-Based MRML File Stores Scene Description
  • Volumes (Images, Label Maps)
  • Models
  • Hierarchical Affine Transforms
  • Scene Data (Cameras, Colors, Fiducials, etc).
  • Patient-Centric
  • Manipulated in World Coordinates based on Patient
    RAS (Right-Anterior-Superior)

Provided by N. Archip et al
Slide courtesy R. Kikinis
7
Planning Example
8
Clinical Applications
  • Change Tracker
  • MR Spectroscopy
  • Fiducial Tractography
  • Open IGT Link

9
Change Tracker
  • Watchful Waiting of Brain Tumors
  • Longitudinal Volumes
  • Change Analysis Algorithms
  • Leverages Slicer Infrastructure
  • Registration
  • CompareView
  • Volume Rendering
  • MRML Scene Files
  • Workflow Wizard

With the Brain Science Foundation
Pohl and Federov
Slide courtesy R. Kikinis
10
MRSI
  • MRSI Volume Analysis and Display
  • Multi-Spectral, Multi-Modal
  • MRSI Choline Map
  • Turnover of Cell Membranes
  • MRSI NAA Map
  • Integrity of CNS Tissue
  • Structural MRI
  • Integrated Slicer Module for MRSI Calculations

B. Menze
Slide courtesy R. Kikinis
11
Fiducial Tractography
  • Fiducial
  • Movable seed point
  • Interactive Probing of Fiber Bundles
  • Peritumoral Fibers
  • fMRI Display in Context with Structural and
    Diffusion Volumes

JJ. Lemaire
Slide courtesy R. Kikinis
12
Open IGT Link
  • December 2007 Concept
  • January 2008 Prototype and Name
  • July 2008 BrainLab VVLink with Yale
    (Papademetrios)
  • December 2008 Real Time MR Control
  • February 11, 2009 Initial Clinical Application
    with Dr. Alex Golby
  • Multi-Site Collaboration coordinated by NCIGT
    (Jolesz, Hata et al)

Golby, Hata, Liu, Tokada, Ibanez, Papademetrios
Slide courtesy R. Kikinis
13
More Information
  • 3D Slicer is
  • multi-platform
  • free open source software (FOSS)
  • for visualization and image computing
  • 3D Slicer consists of
  • more than 550 thousand lines of code, mostly C.
  • Enabled by
  • Participation of several large scale NIH funded
    efforts
  • Including NA-MIC, NAC, BIRN, CIMIT and NCIGT
    communities.
  • Several federal funding sources
  • Including NCRR, NIBIB, NIH Roadmap, NCI, NSF and
    the DOD as well as others
  • www.slicer.org
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