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US 2026/0162267 A1Published application
Methods and Systems of Generating Perfusion Parametric Maps
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsElizabeth Tong, Ettore Biondi, Guillaume Barnier, Gregory Forbes, Aaron Sossin, Vivian Zhu, Siyu Gai, Salmonn Talebi
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Abstract
Methods and systems for generating parametric perfusion maps are provided. A computational learning model can be utilized to extract temporal or spatial features of perfusion images. Extracted temporal and spatial features can be utilized to generate parametric perfusion maps.
Claims21
A method of generating a perfusion parametric map, comprising:
- providing scans of perfusion images that were acquired over a period of time;
- selecting a plurality of voxels of the scans of perfusion images;
- for each selected voxel, generating time-intensity curves that reflect the perfusion of a liquid within the scans of perfusion images;
- extracting, utilizing one or more trained computational models, temporal features of the scans of perfusion images from the generated time-intensity curves;
- extracting, utilizing the one or more trained computational models, spatial features from the scans of perfusion images;
- and
- generating a perfusion parametric map utilizing the extracted temporal features and the extracted spatial features.
4 more elements
A computational system for generating a perfusion parametric map, comprising:
- a processor system and a memory system, wherein the memory system comprises a parametric map generator application that comprises one or more trained computational model for extracting features;
- wherein the parametric map generator application is capable of instructing the processor to:
- receive scans of perfusion images that were acquired over a period of time;
- select a plurality of voxels of the scans of perfusion images;
- for each selected voxel, generate time-intensity curves that reflect the perfusion of a liquid within the scans of perfusion images;
- extract, utilizing the one or more trained computational models, temporal features of the scans of perfusion images from the generated time-intensity curves;
- extract, utilizing the one or more trained computational models, spatial features from the scans of perfusion images;
- and
- generate a perfusion parametric map utilizing the extracted temporal features and the extracted spatial features.
6 more elements
-25. (canceled)
Dependencies are inferred from the claim text.