TL;DR
PyPeT is an open-source Python tool that automates and customizes brain perfusion analysis from CT and MR data, providing reliable quantitative maps for cerebrovascular assessment.
Contribution
This work introduces PyPeT, a unified, modular, and open-source Python framework for processing brain perfusion data, with validation against commercial tools.
Findings
PyPeT produces high-quality perfusion maps with SSIM around 0.8.
PyPeT's outputs are comparable to FDA-approved commercial tools.
The tool is designed for accessibility, customizability, and low computational load.
Abstract
Computed tomography perfusion (CTP) and magnetic resonance perfusion (MRP) are widely used in acute ischemic stroke assessment and other cerebrovascular conditions to generate quantitative maps of cerebral hemodynamics. While commercial perfusion analysis software exists, it is often costly, closed source, and lacks customizability. This work introduces PyPeT, an openly available Python Perfusion Tool for head CTP and MRP processing. PyPeT is capable of producing cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), time-to-peak (TTP), and time-to-maximum (Tmax) maps from raw four-dimensional perfusion data. PyPeT aims to make perfusion research as accessible and customizable as possible. This is achieved through a unified framework in which both CTP and MRP data can be processed, with a strong focus on modularity, low computational burden, and significant…
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Taxonomy
TopicsAcute Ischemic Stroke Management · Advanced MRI Techniques and Applications · MRI in cancer diagnosis
