calibration of photomultiplier arrays for medical imaging applications n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Calibration of Photomultiplier Arrays for Medical Imaging Applications PowerPoint Presentation
Download Presentation
Calibration of Photomultiplier Arrays for Medical Imaging Applications

Loading in 2 Seconds...

play fullscreen
1 / 25

Calibration of Photomultiplier Arrays for Medical Imaging Applications - PowerPoint PPT Presentation


  • 103 Views
  • Uploaded on

Calibration of Photomultiplier Arrays for Medical Imaging Applications. Eric Kvam Engineering Physics Undergraduate.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Calibration of Photomultiplier Arrays for Medical Imaging Applications' - suchi


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
calibration of photomultiplier arrays for medical imaging applications

Calibration of Photomultiplier Arrays for Medical Imaging Applications

Eric Kvam

Engineering Physics Undergraduate

the lair the laboratory for advanced instrumentation research

• Instrumentation -Beam Position Monitor -Low Cost Telemetry• Data Acquisition Software• Kernel Level Drivers• Autonomous Systems -Software Architecture -Unmanned Aerial Vehicle -Awareness Device

The LAIR

The Laboratory for Advanced Instrumentation Research

researchers

Researchers

Dr. Hong Liu

Dept. of Mathematics

Prof. Jack McKisson

Dept. of Physical Sciences

Brian Maisler

Eric Kvam

Yishi Li

Undergraduate Researchers

physical processes
Physical Processes
  • Gamma Rays
  • Scintillator
  • Depth of Interaction
  • Segmented Crystal
  • Efficiency
  • Anode Array
  • Charge Collection
  • A/D Network
strategy for spatial correction
Strategy for Spatial Correction
  • Obtain Distorted Measured Locations
  • Determine Known Corresponding Reference Locations
  • Generate Correction Map
flood field apparatus
Flood Field Apparatus
  • Segmented Crystal
  • Continuous Crystal
  • Tungsten Mask
  • Movable Source
filtering
Filtering
  • Peaks become extremely positive
  • Valleys become extremely negative
  • Flat regions become negative
  • Positive-definite restriction significantly reduces noise
peak finding
Peak Finding
  • Places peaks at local maxima above a preset threshold.
  • Problems:
    • Multiple Hits - Single peak with more than one local maxima.
    • Missed Peak - Peak below cutoff point.
    • Doublet - unresolved due to close spacing.
  • User reviews the image and corrects any inconsistencies in peak identification.
peak finding1
Peak Finding

Example of missed peak

peak matching
Peak Matching
  • Gridlike Distribution
  • Scattered Distribution
  • Traveling Salesman Problem
  • Select Candidate Pool
  • Candidate Cost
  • Solution Branch Cost
  • Split Branches Recursively
  • Avoid Attractive Globally Incompatible Local Minima
  • Exhaustive Solution Requires Too Much Computation!
exhaustive solution example with four points
Exhaustive Solution Example with Four Points

Distorted Peaks: 1 2 3 4

Reference Points: A B C D

Initially There Are Four Branches:

[1A] [1B] [1C] [1D]

Each Branch Splits Three Ways:

[1A 2B] [1B 2A] [1C 2A] [1D 2A]

[1A 2C] [1B 2C] [1C 2B] [1D 2B]

[1A 2D] [1B 2D] [1C 2D [1D 2C]

Each Branch Splits Two Ways….

too much computation
Too Much Computation!
  • Every permutation is a possible solution
  • Number of permutations is the factorial of the number of data points
  • Cost must be evaluated for each possible solution
  • Exhaustive solution is NP Complete
  • Typical data contains over 1600 data points
peak matching solution
Peak Matching Solution
  • User provides an initial match seed
  • Peaks are ordered by distance from seed
  • Candidate pool limited to closest peaks
  • Anticipated location determined from previous matches
  • Candidate cost is distance from anticipated location
  • Branch cost is sum of candidate costs
  • Limited branch splitting
  • Limited number of branches maintained
correction map
Correction Map
  • Correction vector known at certain peak locations
  • What is correction vector throughout the domain of the detector?
voronoi technique
Voronoi Technique
  • Entire domain of detector is divided into cells associated with particular peaks
  • Gamma rays assume the correction vector from the peak of the cell that they fall within
regression technique
Regression Technique
  • Seek two continuous functions for x and y distortion components
  • Each function has bi-variate dependence

x’ = f(x,y) y’ = f(x,y)

  • Least square solution
  • Exponentials of polynomials used for basis function
regression technique1
Regression Technique

1) Take log of data points

2) Get least squared coefficients of polynomial

C1 + C2(X) + C2(Y) + C3(XY) + C4X^2Y + ...

3) Subtract function from data to get residual error

4) Repeat and fit function to remaining residual error

  • The final distortion function is the sum of all the basis functions
  • After about 80 iterations the matrix becomes rank defficient and residual error cannot be further reduced
future work
Future Work
  • Reduce required user interaction
  • Test these solutions on continuous crystals with tungsten mask
  • Produce tools that technicians can use
  • Improve charge cloud centroid determination
  • Include “Z” correction

Any undergrads out there interested?????