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MNI SISCOM: an Open-Source Tool for Computing Subtraction Ictal Single-Photon Emission CT Coregistered to MRI.

Subtraction ictal single-photon emission computed tomography (SPECT) coregistered to MRI (SISCOM) is a well-established technique for quantitative analysis of ictal vs interictal SPECT images that can contribute to the identification of the seizure onset zone in patients with drug‐resistant epilepsy...

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Published in:Journal of Digital Imaging Vol. 34; no. 2; pp. 357 - 362
Main Authors: Moreau, Jeremy T., Saint-Martin, Christine, Baillet, Sylvain, Dudley, Roy W. R.
Format: diagnostic images pictorial research tables/charts Journal Article
Published: Springer Nature Apr2021
Online Access:View this record in EBSCOhost
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      dt: Apr2021
      vid: 34
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10278-021-00422-9
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        atl: MNI SISCOM: an Open-Source Tool for Computing Subtraction Ictal Single-Photon Emission CT Coregistered to MRI.
      aug:
        au:
          Moreau, Jeremy T.
          Saint-Martin, Christine
          Baillet, Sylvain
          Dudley, Roy W. R.
        affil: McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
      sug:
        subj:
          Magnetic Resonance Imaging
          Software
          Tomography, Emission-Computed, Single-Photon
          Software Design
          Human
          Graphical User Interface
          Diagnostic Imaging
          Epilepsy Diagnosis
          Drug Resistance
      ab: Subtraction ictal single-photon emission computed tomography (SPECT) coregistered to MRI (SISCOM) is a well-established technique for quantitative analysis of ictal vs interictal SPECT images that can contribute to the identification of the seizure onset zone in patients with drug‐resistant epilepsy. However, there is presently a lack of user-friendly free and open-source software to compute SISCOM results from raw SPECT and MRI images. We aimed to develop a simple graphical desktop application for computing SISCOM. MNI SISCOM is a new free and open-source software application for computing SISCOM and producing practical MRI/SPECT/SISCOM image panels for review and reporting. The graphical interface allows any user to quickly and easily obtain SISCOM images with minimal user interaction. Additionally, MNI SISCOM provides command line and Python interfaces for users who would like to integrate these features into their own scripts and pipelines. MNI SISCOM is freely available for download from: https://github.com/jeremymoreau/mnisiscom.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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