SlicerSPECTRecon

SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction - Published in JOSS (2024)

https://github.com/PyTomography/SlicerSPECTRecon

Science Score: 36.0%

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    Low similarity (14.6%) to scientific vocabulary

Keywords

3d-slicer-extension image-reconstruction
Last synced: 10 months ago · JSON representation

Repository

A 3D Slicer extension for SPECT reconstruction, built using PyTomography

Basic Info
  • Host: GitHub
  • Owner: PyTomography
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 166 MB
Statistics
  • Stars: 24
  • Watchers: 3
  • Forks: 8
  • Open Issues: 5
  • Releases: 2
Topics
3d-slicer-extension image-reconstruction
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License

README.md

SPECT Tomographic Reconstruction 3D Slicer Extension

This is the official repository for the Slicer extension SlicerSPECTRecon. For details on how to use, see the user manual and the associated youtube video tutorial

This module enables the reconstruction of raw SPECT projection data, providing customizable options for image modeling and image reconstruction. The module has a SIMIND to DICOM converter to permit reconstruction of SIMIND Monte Carlo data.

The module is divided into the following sections:

  • Data Converters: Provides tools for converting data from various sources into the DICOM format.
  • Input Data: Users can select data from multiple bed positions after loading the projection data into the 3D Slicer DICOM database.
  • System Modeling: Allows users to define transforms that are used to build the system matrix.
  • Likelihood: Allows users to choose their preferred likelihood function.
  • Reconstruction Algorithm: Provides the option of selecting a preferred reconstruction algorithm and their associated parameters

Please refer to the User_Manual.md file for further information

User interface

Within Slicer, the "SPECT reconstruction" module is located under the parent category "Tomographic Reconstruction". For more details, see the user manual

  • Inputs
    • SPECT projection data
    • (optional) CT data for attenuation correction
  • Outputs
    • a 3D reconstruction SPECT image. The volume will be saved under the specified name (or as the dataset name appended with _reconstructed) and will be located within the Subject Hierarchy in the Data Module.

Resources

The following link collection should facilitate understanding the code in this extension:

Sample Data

The links to the example data (sample patient and simind files) are in the sample_data.txt file in the Resources folder.

Contribute

If you'd like to contribute, you can find an orientation on the Slicer documentation for developers.

Please read first the CONTRIBUTING.md file for further information on how to contribute. You can also check the Pytomography readthedocs for an orientation on Pytomography.

License

SlicerSPECTRecon is subject to the MIT License, which is in the project's root.

Contact

Please post any questions to the Pytomography Discourse Forum.

Owner

  • Name: PyTomography
  • Login: PyTomography
  • Kind: organization
  • Email: lukepolson@outlook.com

Python for tomographic image reconstruction

GitHub Events

Total
  • Issues event: 5
  • Watch event: 5
  • Issue comment event: 1
  • Push event: 4
  • Pull request event: 10
Last Year
  • Issues event: 5
  • Watch event: 5
  • Issue comment event: 1
  • Push event: 4
  • Pull request event: 10

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 151
  • Total Committers: 6
  • Avg Commits per committer: 25.167
  • Development Distribution Score (DDS): 0.371
Past Year
  • Commits: 96
  • Committers: 4
  • Avg Commits per committer: 24.0
  • Development Distribution Score (DDS): 0.427
Top Committers
Name Email Commits
Obed Dzikunu o****u@g****m 95
Luke Polson l****n@o****m 47
Marcel Stimberg m****g@s****r 5
Carlos F. Uribe c****i 2
pearsomark p****k@g****m 1
Andras Lasso l****o@q****a 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 5
  • Total pull requests: 14
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 0.2
  • Average comments per pull request: 0.0
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 14
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 4
  • Pull request authors: 2
  • Average comments per issue: 0.2
  • Average comments per pull request: 0.0
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • akmal871026 (2)
  • PegiMessi (1)
  • LucasMorel43 (1)
  • mikhailpaltsev (1)
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  • lukepolson (13)
  • lassoan (1)
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