Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Technical accuracy of AI-based patient autopositioning in Computed Tomography: An evaluation with dose monitoring system data.

Current problems in diagnostic radiology·2026
Same author

Corrigendum: How the sensitivity of TOF-PET depends on the interplay between the temporal and spatial detector resolutions and the resolution required for the imaging task (2025<i>Phys. Med. Biol.</i>70 245001).

Physics in medicine and biology·2026
Same author

High-Fidelity CT Image Denoising with De-TransGAN: A Transformer-Augmented GAN Framework with Attention Mechanisms.

Bioengineering (Basel, Switzerland)·2025
Same author

How the sensitivity of TOF-PET depends on the interplay between the temporal and spatial detector resolutions and the resolution required for the imaging task.

Physics in medicine and biology·2025
Same author

Phasor-FLIM and SHG imaging for quantitative analysis of lung cancer autofluorescence.

Computational and structural biotechnology journal·2025
Same author

Classification of computed tomography scans: a novel approach implementing an enforced random forest algorithm.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2025
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
Same journal

Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

Physics in medicine and biology·2026
Same journal

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same journal

Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

Physics in medicine and biology·2026
Same journal

Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

Physics in medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Multi-ray-based system matrix generation for 3D PET reconstruction.

Sascha Moehrs1, Michel Defrise, Nicola Belcari

  • 1Department of Physics, University of Pisa, Largo Bruno Pontecorvo 3, I-56127 Pisa, Italy. sascha.moehrs@df.unipi.it

Physics in Medicine and Biology
|November 13, 2008
PubMed
Summary
This summary is machine-generated.

We developed a multi-ray method for creating accurate positron emission tomography (PET) scanner models. This hybrid approach improves 3D image reconstruction using ML-EM and OSEM, outperforming Monte Carlo methods.

More Related Videos

Preclinical Positron Emission Tomography with Body Conforming Animal Molds for Cloud-Based Automated Image Analysis in Mice
07:45

Preclinical Positron Emission Tomography with Body Conforming Animal Molds for Cloud-Based Automated Image Analysis in Mice

Published on: October 25, 2024

Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
09:18

Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models

Published on: February 3, 2026

Related Experiment Videos

Last Updated: Jun 28, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Preclinical Positron Emission Tomography with Body Conforming Animal Molds for Cloud-Based Automated Image Analysis in Mice
07:45

Preclinical Positron Emission Tomography with Body Conforming Animal Molds for Cloud-Based Automated Image Analysis in Mice

Published on: October 25, 2024

Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
09:18

Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models

Published on: February 3, 2026

Area of Science:

  • Medical Imaging
  • Nuclear Physics
  • Computational Science

Background:

  • Iterative image reconstruction algorithms for Positron Emission Tomography (PET) demand precise system matrices (models) of the scanner.
  • Accurate modeling is crucial for effective 3D image reconstruction using algorithms like Maximum-Likelihood Expectation Maximization (ML-EM) and Ordered Subset Expectation Maximization (OSEM).
  • Existing methods for system model generation include analytical calculations, direct measurements, and Monte Carlo simulations, each with limitations.

Purpose of the Study:

  • To develop and validate an offline system model for the YAP-(S)PET II small animal imaging tomograph.
  • To enable subsequent 3D image reconstruction using standard ML-EM and OSEM algorithms.
  • To introduce and evaluate a novel hybrid 'multi-ray' method for system matrix generation.

Main Methods:

  • The proposed multi-ray method is a hybrid approach combining analytical geometry with effects like crystal depth and scatter.
  • It utilizes a novel mathematical formulation for ray tracing from detector crystals through the image volume.
  • Investigated the impact of integration point positioning and weighting (Gaussian vs. trapezoidal integration) on system matrix accuracy.

Main Results:

  • Gaussian integration with optimized ray-end point positioning yields superior results compared to trapezoidal integration, especially with fewer rays.
  • The multi-ray method requires significantly fewer events (estimated factor of 20 reduction) to compute the system matrix compared to pure Monte Carlo methods for similar variance.
  • Reconstruction of phantom data using the generated model demonstrated its quality and suitability for the YAP-(S)PET II scanner.

Conclusions:

  • The multi-ray method provides an accurate and efficient approach for generating system matrices for PET scanners.
  • This hybrid method offers a viable alternative to purely analytical, measurement-based, or Monte Carlo simulation methods.
  • The developed model successfully facilitates high-quality 3D image reconstruction for the YAP-(S)PET II small animal imager.