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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Spatial distortion correction and crystal identification for MRI-compatible position-sensitive avalanche
Abhijit J Chaudhari1, Anand A Joshi, Yibao Wu
1A. J. Chaudhari, Y. Wu and S. R. Cherry are with the Department of Biomedical Engineering, University of California-Davis, Davis, CA 95616, USA (Email: ajchaudhari@ucdavis.edu ).
IEEE Transactions on Nuclear Science
|February 18, 2010
Summary
This study introduces an automated method to correct spatial distortions in PET scanner flood histograms caused by position-sensitive avalanche photodiodes (PSAPDs), improving detector calibration and characterization, especially in MRI-compatible systems.
Area of Science:
- Medical Imaging
- Nuclear Physics
- Instrumentation
Background:
- Position-sensitive avalanche photodiodes (PSAPDs) are crucial for modern MRI-compatible PET scanners.
- Flood histograms are essential for PET detector characterization and quality control.
- PSAPD-based PET detectors exhibit pincushion distortion and magnetic field-induced rotation in flood histograms.
Purpose of the Study:
- To develop an automated method for spatial distortion correction in PSAPD-based PET detector flood histograms.
- To account for distortions occurring both inside and outside magnetic fields (MRI compatibility).
- To evaluate a crystal identification method using the corrected flood histograms.
Main Methods:
- A hybrid analytical approach combining existing event positioning schemes for distortion correction.
- Iterative determination and correction of flood histogram rotation caused by magnetic fields.
- Fourier analysis for template generation, followed by diffeomorphic iterative intensity-based warping for registration and segmentation.
Main Results:
- The proposed method effectively corrects pincushion distortion and magnetic field-induced rotation in flood histograms.
- The crystal identification method performs accurately both inside and outside magnetic fields.
- Significant reduction in manual labor for calibration and characterization.
Conclusions:
- The developed automated distortion correction and crystal identification methods are robust for PSAPD-based PET scanners.
- These methods are suitable for routine calibration and characterization in MRI-compatible PET systems.
- The approach minimizes manual intervention, enhancing efficiency in quality control.
