Skip to main content
SpringerLink
Log in

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

  • Short Communication
  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Code Availability

All code is available for download at https://github.com/jeremymoreau/mnisiscom.

References

  1. O’Brien TJ, So EL, Mullan BP, Hauser MF, Brinkmann BH, Bohnen NI, et al. Subtraction ictal SPECT co-registered to MRI improves clinical usefulness of SPECT in localizing the surgical seizure focus. Neurology. 1998;50(2):445–54.

    Article  Google Scholar 

  2. Hong SB, Tae WS. SISCOM (Subtraction Ictal SPECT Coregistered to MRI). In: Dierckx RAJO, Otte A, de Vries EFJ, van Waarde A, Leenders KL, editors. PET and SPECT in Neurology. Berlin, Heidelberg: Springer Berlin Heidelberg; 2014. p. 829–41.

  3. von Oertzen TJ, Mormann F, Urbach H, Reichmann K, Koenig R, Clusmann H, et al. Prospective use of subtraction ictal SPECT coregistered to MRI (SISCOM) in presurgical evaluation of epilepsy. Epilepsia. 2011;52(12):2239–48.

    Article  Google Scholar 

  4. Chen T, Guo L. The role of SISCOM in preoperative evaluation for patients with epilepsy surgery: A meta-analysis. Seizure. 2016;41:43–50.

    Article  CAS  Google Scholar 

  5. Delev D, Quesada CM, Grote A, Boström JP, Elger C, Vatter H, et al. A multimodal concept for invasive diagnostics and surgery based on neuronavigated voxel-based morphometric MRI postprocessing data in previously nonlesional epilepsy. J Neurosurg. 2018;128(4):1178–86.

    Article  Google Scholar 

  6. Foiadelli T, Lagae L, Goffin K, Theys T, De Amici M, Sacchi L, et al. Subtraction Ictal SPECT coregistered to MRI (SISCOM) as a guide in localizing childhood epilepsy. Epilepsia Open. 2020;5(1):61–72.

    Article  Google Scholar 

  7. Penny WD, Friston KJ, Ashburner JT, Kiebel SJ, Nichols TE. Statistical Parametric Mapping: The Analysis of Functional Brain Images. Elsevier; 2011. 656 p.

    Google Scholar 

  8. Oliveira Young C, Etchbehere ECSC, Souza EM, Brunetto SQ, Santos A de O, Lima MCL, et al. Clinical Usefulness of SISCOM-SPM Compared to Visual Analysis to Locate the Epileptogenic Zone. Front Neurol. 2020;11:467.

  9. Martí Fuster B, Esteban O, Planes X, Aguiar P, Crespo C, Falcon C, et al. FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using Monte Carlo simulation. Neuroinformatics. 2013;11(1):77–89.

  10. Li X, Morgan PS, Ashburner J, Smith J, Rorden C. The first step for neuroimaging data analysis: DICOM to NIfTI conversion. J Neurosci Methods. 2016 May 1;264:47–56.

    Article  Google Scholar 

  11. Abraham A, Pedregosa F, Eickenberg M, Gervais P, Mueller A, Kossaifi J, et al. Machine learning for neuroimaging with scikit-learn. Front Neuroinform. 2014 Feb 21;8:14.

    Google Scholar 

  12. Collins DL, Neelin P, Peters TM, Evans AC. Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J Comput Assist Tomogr. 1994 Mar;18(2):192–205.

    Article  CAS  Google Scholar 

  13. Brett M, Johnsrude IS, Owen AM. The problem of functional localization in the human brain. Nat Rev Neurosci. 2002;3(3):243–9.

    Article  CAS  Google Scholar 

  14. Kazemi NJ, Worrell GA, Stead SM, Brinkmann BH, Mullan BP, O’Brien TJ, et al. Ictal SPECT statistical parametric mapping in temporal lobe epilepsy surgery. Neurology. 2010;74(1):70–6.

    Article  CAS  Google Scholar 

  15. Long Z, Hanson DP, Mullan BP, Hunt CH, Holmes DR 3rd, Brinkmann BH, et al. Analysis of Brain SPECT Images Coregistered with MRI in Patients with Epilepsy: Comparison of Three Methods. J Neuroimaging. 2018;28(3):307–12.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada

    Jeremy T. Moreau & Sylvain Baillet

  2. Department of Paediatric Surgery, Division of Neurosurgery, Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC, Canada

    Jeremy T. Moreau & Roy W. R. Dudley

  3. Department of Medical Imaging, Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC, Canada

    Christine Saint-Martin

Authors
  1. Jeremy T. Moreau
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Christine Saint-Martin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sylvain Baillet
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Roy W. R. Dudley
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

JTM: conception and design, app development, figures, drafting the manuscript, critically revising the manuscript. CSM: supervision, critically revising the manuscript. SB: supervision, funding and administration, critically revising the manuscript. RWRD: conception and design, supervision, drafting the manuscript, funding and administration, critically revising the manuscript.

Corresponding author

Correspondence to Jeremy T. Moreau.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

This study received full approval by the McGill University Health Centre’s Research Institute Ethics Board, and all involved patients and/or parents/guardians signed an informed consent form to be enrolled in the study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Moreau, J.T., Saint-Martin, C., Baillet, S. et al. MNI SISCOM: an Open-Source Tool for Computing Subtraction Ictal Single-Photon Emission CT Coregistered to MRI. J Digit Imaging 34, 357–361 (2021). https://doi.org/10.1007/s10278-021-00422-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-021-00422-9

Keywords

Search

Navigation