[Insight-developers] NLM Talks for October 7

[Lorensen, William E (Research)]

Folks,
Here's a first cut at an agenda for the Monday protion of next week's meeting. The afternoon is
pretty well packed. I included the raw inputs at the end of the message. There is still a little room
in the Validation (last) session.

Terry needs something to send out to attendees so this may be good enough for that. 

Bill



October 7 - Lister Hill Auditorium
----------------------------------
9am - Welcome and Introduction - (Ackerman, Yoo, (Lindberg?))
9:15am - Overview of Insight - the Federal viewpoint.  - (Yoo)
          Why the Feds should support open-source
          Where we are now - ITK 1.0, new contracts, goals 2003
9:45am - The Consortium - the developer viewpoint - (Lorensen)
          How the consortium works...
          Organization
          Chronology of the tool development process
          Doxygen documentation
          Web pages - where to find it
          DART
          CMake
          Cable
10:15 -  break
10:30 -  Overview of ITK 1.0 - (Schroeder, Lorensen)
          Templates
          Image classes, mesh classes, statistics lib
          segmentation and registration hierarchies
          What's in it?  Algorithms
          Validation
12:00 -  Lunch

1:00 - 2:00 Algorithms
	Data structures, methods, and pipelines for statistical clustering (Alyward, 15 min)
	Hybrid Segmentation (Metaxis, 15 min))
      "Medial Node Correspondences - Towards Unsupervised Model Building" (Shelton, 15 min)
	Registration Framework (Ibanez/Aljaz, 15 min) 	

2:00-2:45 Applications I
	Using Insight from Tcl   (King, 15 min)
      Clinical application using ITK (Alyward, 30)

2:45 - Break
	
3:00 - 5:00 Validation
	Visible Woman Registration Validation (Lorensen, 15 min)
	Visible Woman Segmentation (Whitaker, 15 min)
	Monte Carlo Analysis of MLEM and KMeans for tissue clustering (Aylward, UNC, 20 min)
	Atlas-based Brain Volume Segmentation from MRI Images (Insightful, 10 min)
	Rigid Multi-Modality Registration of 3D CT, MR and PET Images of the Brain (Insightful, 10
min)
	Tissue Segmentation from Brain MRI Images using the Image Clasifier Framework.(Insightful, 10
min)
	UPenn Validation (UPenn, 20 min)

4:45 - Discussion

5:00 - End

---------------------------------------------------------------------------------
Raw data follows-----------------------

UNC
Clinical application using ITK (30-40 Minutes for all)
	1) Dark adapted pupil quantification for vietnam veterans
		- Hough transform
		- Rapid prototyping using ITK
	2) Tracking uterine fibroids over time
		- Watershed segmentation
		- Landmark and mutual information registration
	3) Living donor liver transplant planning
		- Spatial objects and watershed segmentation
	4) Surgical guidance and simulation using ITK
		- Ultrasound annotation for guiding liver lesion RFA
		      - Spatial objects and multi-threaded registration
		- Integrating ITK and SenSable Technology's PHANTOM
		      - Haptic systems and spatial objects
	5) Piglet diaphragm movement tracking in ultrasound
		- Mutual information registration
	6) Diagnosis of retinopathy of prematurity
		- Segmentation, video processing, speech recognition
	7) Analysis of MR diffusion tensor images using ITK

Algorithms (30 minutes for all but registration framework)
	1) Data structures, methods, and pipelines for statistical
		clustering
	2) Spatial objects for representing anatomical structures
	3) Registration framework (with Luis...)

Validation (20 minutes with discussion of methods)
	1) Monte Carlo analysis of MLEM and KMeans for tissue
		clustering

"Medial Node Correspondences - Towards Unsupervised Model Building"



Kitware
1) Software Development Process (unless you already
    planned for this topic) (20 minutes)
    (Bill Hoffman / Jim ? )
    - Dart
    - CMake
    - CVS
    - ITK + { VTK, FLTK, Qt }

2) Registration Framework  (20 minutes)
    - Components { Metrics, Transforms, Optimizers }
    - MultiResolution
    - FEM Deformable registration (this part probably by Aljaz)

3) Using Insight from Tcl  (15 minutes)
    ( Brad / Luis )
    - Cable / GCCXML
    - Rapid prototyping
    - Tutorial material

4) Segmentation using cellular-aggregates (5 minutes)
    (probably to be included in the Segmentation talk,
     I'll provide the ppt slides to the speaker.)





Insightful

1) Atlas-based Brain Volume Segmentation from MRI Images (10 min)

(2) Rigid Multi-Modality Registration of 3D CT, MR and PET Images of the Brain (10 min)

(3) Tissue Segmentation from Brain MRI Images using the Image Clasifier Framework.(5-10 min) 





Segmentation: preprocessing, watersheds, level set methods ~10min
Validation: studies, results  ~10min
Demos: interactive segmentation ~10min