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Simulation

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Acquisition of Patient Data. 2 Dimensional Process. Solder wire. Plaster cast. Contour plotter. 3 Dimensional Process. CT of treatment area. CT, MR, PET Registration ... – PowerPoint PPT presentation

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Title: Simulation


1
Simulation Acquisition Todd Pawlicki,
Ph.D. Professor Vice-Chair Director,
Division of Medical Physics
2
Objectives
  • Discuss the CT simulation process
  • Discuss applications of imaging to radiotherapy

3
Radiation Oncology Workflow
Tx Plan
Consultation
CT Scan
Virtual Sim (Image Fusion)
Plan QA
Imaging
Tx Delivery
Follow-up
Slide courtesy of Jack Yang, PhD
4
Acquisition of Patient Data
  • 2 Dimensional Process
  • Solder wire
  • Plaster cast
  • Contour plotter
  • 3 Dimensional Process
  • CT of treatment area
  • CT, MR, PET Registration / Fusion

5
The CT Simulator
  • Identical to regular CT
  • Scanner, couch, computer console, etc.
  • Flat hard top couch
  • Same as linac
  • Important for position reproducibility
  • Laser marking system
  • Virtual simulation workstation
  • 3D image
  • Larger aperture size
  • 70 to 90 cm

Slide courtesy of Jack Yang, PhD
6
Computed Tomography
  • The use of CT data in radiation therapy
  • Diagnosis
  • Tumor / Normal tissue delineation
  • Treatment planning / beam orientations
  • Dose calculation

7
Types of CT Scanners
http//www.asnt.org/publications/Materialseval/bas
ics/may00basics/may00basics.htm
8
Measured Linear Attn Coefficients
Hounsfield Unit (HU) -1000 lt HU lt 1000
12 bit Internal Computer Number (C)
0 lt HU lt 4096
9
Tissue Types
Sternum (1030)
Soft Tissue 1 (1050)
Soft Tissue 2 (875)
Lung (285)
Soft Bone (1220)
Hard Bone (1810)
10
Window Width and Level
  • Window Width
  • The range of gray shades in the image
  • Window Level
  • The middle HU of the window
  • Window adjustments are set to highlight the
    structures to be viewed

11
(No Transcript)
12
DRR Image Quality
Slide courtesy of Jack Yang, PhD
  • Scanning slice thickness creates different
    quality of DRR, thinner slices produce better
    images, but need more processing power
  • Need balance between large amounts of data and
    image quality (scanning protocols need to be
    established)

13
DRR and Image Quality
RTCT
CBCT
14
CT Simulator Pros and Cons
  • Small Bore vs. Large Bore
  • Patient population with different setup technique
  • Conventional simulator availability
  • Larger bore creates more scattering dose
  • Single Slice vs. Multi Slice
  • DRR quality (rendering technique and speed)
  • Image quality (Scanning slice thickness)
  • 4D CT (respiratory gating)

Slide courtesy of Jack Yang, PhD
15
CT Simulator Large Bore (FOV)
70 cm Bore Opening
85 cm Bore Opening
Better for Breast Simulation
Slide courtesy of Jack Yang, PhD
16
Isocenter Marking
  • Isocenter placement could affect the patient
    treatment accuracy since it serves as the base
    line information

Slide courtesy of Jack Yang, PhD
17
General Immobilization Equipment
18
Immbolization Options(Active)
19
Immbolization Options(Passive)
  • shoulder constraints

20
CT Sim Head Immobilization
Achievable variability in position1-3 mm
Slide courtesy of Jack Yang, PhD
21
Reproducibility
  • Difficult to reproduce a misaligned patient
  • Other artifacts can also create setup problems

22
Head Position
  • Optimal position depends on the treatment volume
    and delivery type

23
Example CT Simulation Checklist
24
CT Simulation Policy Procedure
25
CT Simulation Contrast Issues
  • Contrast can be used to help differentiate
    between tumors and surrounding healthy tissue
  • Using contrast is risky, nursing required to be
    present
  • For heterogeneity-based CT planning, contrast may
    create dose distribution errors due to large CT
    numbers
  • Contrast density override should be carefully
    examined

Slide adapted from Jack Yang, PhD
26
(No Transcript)
27
Simulation General Issues
28
CT Used for Dose Calculation
29
CT/MR Anatomy
  • Primarily used for target delineation

CT
MR
30
Bushburg et al. The Essential Physics of Medical
Imaging. 2nd Ed, 2002.
T1 Weighted
T2 Weighted
FLAIR
31
MRSI
  • MR spectroscopy and MR imaging methods
  • Produce a spectrum identifying different chemical
    compounds (metabolites) in various tissues
  • Metabolite ratios differentiate between active
    tumor, normal tissue, and necrosis

Hunjan et al. IJROBP, 2003.
32
MRSI
Delorme and Weber. Applications of MRS in the
evaluation of focal malignant brain lesions.
Cancer Imaging, 2006.
33
FDG PET
(fluorodeoxyglucose PET Imaging)
  • Malignant cells compared to healthy cells
  • Divide rapidly
  • Metabolize glucose at a higher rate
  • Attach a positron emitter to a glucose analogue
  • Example, fluorine-18
  • FDG PET studies show utilization of the glucose
    analogue
  • Tumor metabolism

34
PET/CT Images
35
Registration / Fusion
  • Choose fusion algorithm
  • Transform source image into coordinate system of
    destination image
  • Evaluation and interpretation of the registered
    images

Hutton and Braun 2003
36
Choose Fusion Algorithm
37
Use Pixel Data
Hutton and Braun 2003
38
Manual Match
  • Interactive tools

39
Fusion Evaluation
40
Summary
  • CT Simulation is replacing conventional
    simulation
  • Multi-modality imaging is increasingly important
  • CT Simulation can improve target and normal
    tissue contouring and treatment planning
  • TG-66 report provides a very thorough QA process
    for CT simulation
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