1 Inductive Learning (continued) Chapter 19 Slides for Ch. 19 by J.C. Latombe.
Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by...
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Transcript of Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by...
![Page 1: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/1.jpg)
Motion Planning in Stereotaxic
RadiosurgeryA. Schweikard, J.R. Adler, and J.C. Latombe
Presented by Vijay Pradeep
![Page 2: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/2.jpg)
Tumor = bad
Brain = good
Critical Section= good & sensitive
Minimally invasive procedure that uses an intense, focused beam of radiation as an ablative surgical instrument to destroy tumors
Radiosurgery Problem
![Page 3: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/3.jpg)
Radiosurgery Methods – Single Beam
Radiation
Single Beam:- High Power along entire cylinder- Damages lots of brain tissue
![Page 4: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/4.jpg)
Dose from multiple beams is additive
Radiosurgery Methods – Multiple Beams
- Intersection of beams is spherical- Energy is highest at tumor
Radiation
![Page 5: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/5.jpg)
LINAC System
![Page 6: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/6.jpg)
• Goal:– Determine a set of beam configurations that will
destroy a tumor by cross firing at it
• Parameters:– Assume Spherical Tumor– LINAC Kinematics (Only Vertical Great-Circle Arcs)– Minimum angle of separation between arcs– Min # Of Arcs
Critical
Tumor
Problem Statement
![Page 7: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/7.jpg)
Obstacle Representation
Similar to Trapezoidal Decomposition
- Represent with half-sphere- Project obstacles onto surface- Find criticality points- Draw arcs
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Criteria• ω – Minimum spacing between arcs• N – Number of great circle arcs• K – Minimum free length of each arc
Path Planning
0 2ππGreat Circle Plane Angle
Free
Length
s1
s2
s3
s4
s5
s6
K
![Page 9: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/9.jpg)
Criteria• ω – Minimum spacing between arcs• N – Number of great circle arcs• K – Minimum free length of each arc
Path Planning
0 2ππGreat Circle Plane Angle
s1
s2
s3
s4
s5
s6
K
ω ω ω
p1
p2
p3 p4
p6
Free
Length
![Page 10: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/10.jpg)
Results
Manually Planned Automatically Planned
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Non-Spherical Tumors
Approximated by multiple independent spherical targets
Plan for each spherical tumor is computed and executed independently.
![Page 12: Motion Planning in Stereotaxic Radiosurgery A. Schweikard, J.R. Adler, and J.C. Latombe Presented by Vijay Pradeep.](https://reader036.fdocuments.net/reader036/viewer/2022062421/56649d5e5503460f94a3eb69/html5/thumbnails/12.jpg)
• Takes advantage of structure/simplicity– Uses idea of criticality on obstacles vertices– Constrained to Vertical Great-Circle Arcs– Assumes independent spherical tumors– Plans for feasibility, not optimality
• Elegant, but not necessarily easiest– Actually samples 128 points and chooses the
best under constraints
Take Aways