MNI SISCOM

MNI SISCOM computes Subtraction ictal single-photon emission computed tomography (SPECT) coregistered to magnetic resonance imaging (MRI) to quantify ictal versus interictal perfusion differences for localizing seizure onset zones in drug-resistant epilepsy.

Key Features:

• SISCOM computation: Performs subtraction of ictal and interictal SPECT images to generate SISCOM perfusion maps.
• MRI coregistration: Coregisters SPECT-derived SISCOM maps to MRI for anatomical localization.
• Quantitative analysis: Quantifies perfusion differences between ictal and interictal states to support seizure focus localization.
• Command-line and Python interfaces: Exposes command-line and Python APIs for integration into analysis scripts and pipelines.
• Implementation: Implemented as a Python library enabling scripting and automation of SISCOM computation.

Scientific Applications:

• Seizure onset zone localization: Supports identification of epileptogenic regions in patients with drug-resistant epilepsy through perfusion change mapping.
• Quantitative neuroimaging research: Facilitates quantitative comparison of ictal and interictal perfusion for research studies in epilepsy and functional brain imaging.

Methodology:

Processes raw ictal and interictal SPECT and MRI images by subtracting interictal from ictal SPECT and coregistering the resulting SISCOM maps to MRI; functionality is implemented in a Python library with command-line and Python interfaces.