Project Proposal: Surfacetosurface tracking of breast models in radiation oncology

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Project Proposal: Surfacetosurface tracking of breast models in radiation oncology

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Radiation beam therapy of breast tumours. Treatment is ... David J. Hawks, and Derek L. G. Hill. Medical Imaging at Guy's Hospital, King's College London. ... – PowerPoint PPT presentation

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Title: Project Proposal: Surfacetosurface tracking of breast models in radiation oncology

1
Project ProposalSurface-to-surface tracking of
breast models in radiation oncology

Shidong Li, Russell H. TaylorRobert Jacques,
John Rittenhouse

2
Overview

The Problem
Surface Tracking Methods
FEM Models of the Breast
Project Expectations
Dependencies
Reading List

3
The Problem

The Procedure
Equipment
Procedure Questions
Project Questions

4
The Procedure

Radiation beam therapy of breast tumours
Treatment is gated to respiration
Single marker
Trade off between treatment time and accuracy
Large safety boundary 15mm

5
Equipment

Stereo Camera pair with structured light
Currently 0.1Hz maximum
1Hz capture
Co-registered with CT
Rigid ICP registration

6
Procedure Questions

Optimum gate length
Save OR time
Reduction of safety boundary
Less healthy tissue damaged
Correlation between skin and tumour locations
Active collimation

7
Project Questions

Investigation of surface breast motion
Noise/Random motion
Respiration
Evaluate correlation with current metric
Coupling with FEM analysis

8
Surface Tracking Methods

2D Methods
Template tracking
NURB tracking package
3D Methods
Active surfaces
ICP vs. GVF
Free vs. Continuous
Elastance
Surface area constraint

9
FEM Models of the Breast

Current uses
Compression studies for biopsy
Image processing validation
Accuracy of 2.5-4.5mm
Sources of error
Soft tissue segmentation in CT
Boundary conditions
Skin
Chest Wall

10
Project Expectations

Minimum
Medium
High
Maximum

11
Minimum Project Expectations

Deliverables
Basic offline deformable surface tracker
Analysis of tracker using SSD
Limitations
Direct analysis of mesh modes not possible
Difficult to couple to a FEM model
Not real time
User supervision

12
Medium Project Expectations

Deliverables
Offline deformable elastic surface tracker
Analysis of tracker using volume between surfaces
Generation of patient specific atlas of
respiration
Plot of modes versus time
Limitations
Not real time
User supervision

13
High Project Expectations

Deliverables
Medium Project Expectations
Simple user interface for clinical use
Per frame processing equal to capture device
Creation and analysis of modes of variation
Analysis of the modes of a new frame
Limitations
Not real time

14
Maximum Project Expectations

Deliverables
High Project Expectations in real time
Near-fully automatic
Determination of optimum treatment times
Coupling to a FEM model

15
Dates for Medium Expectations

February 18, 2005
Robert Tracking of fiducial points
John Basic GUI for visualization
February 25, 2005
Robert ICP based elastic mesh deformation
John Volumetric accuracy metric
March 4, 2005
Robert Generation of a statistical atlas
John Mode visualization

16
Project Checkpoint (Mid-March)

Determine current status
Identify bottlenecks
Performance
Developmental issues
Update project plan
Project extensions
New requirements
Final goals

17
Plan for Project Extensions

Time and complexity analysis
Mesh simplification
Direct stereo methods
Euler vs. PDE solvers
Mode Analysis
Determination of clinical user interface
Automatic fiducial search
FEM coupling and analysis

18
Dependencies

Developmental
Standard data format
Image sequence at frame rate of consecutive
respiration cycles
Raw Stereo data
Color data sets
Implementation
Clinical trial coupling
3rd party image acquisition at 0.1Hz

19
Reading list

Julia A. Schnabel, Christine Tanner, Andy D.
Castellano-Smith, Andreas Degenhard, Martin O.
Leach, D. Rodney Hose, Derek L.G. Hill, and David
J. Hawkes. Validation of Nonrigid Image
Registration Using Finite-Element Methods
Application to Breat MR Images. IEEE Transactions
on Medical Imaging, Vol. 22, No. 2, February 2003
David J. Hawks, and Derek L. G. Hill. Medical
Imaging at Guys Hospital, Kings College London.
IEE Transactions on Medical Imaging, Vol. 22, No.
9, September 2003

20
Reading List Cont.

Kass, Witkin, and Terzopoulos. Snakes Active
Contour Models. 1987
C. Xu, and J.L. Prince. Gradient Vector Flow A
New External Force for Snakes. Proc. IEEE Conf.
on Comp. Vis. Patt. Recog. (CVPR), Los Alamitos
Comp. Soc. Press, pp. 66-71, June 1997
Jason J. Corso, Nicholas Ramey, and Gregory D.
Hager. Stereo-Based Direct Surface Tracking with
Deformable Parametric Models. Technical report,
The Johns Hopkins University, 2003. CIRL Lab
Technical Report 2003-02.