Patent · US Active

Tumor tissue characterization using multi-parametric magnetic resonance imaging

US11969239B2 · kind B2 · utility

0Cited by

0References

14Claims

0Family size

Assignee

Siemens Healthineers AG · DE

Inventors

Bin Lou · Princeton Junction, US
Benjamin L. Odry · West New York, US

Key dates

Filing date	Jan 15, 2020
Grant date	Apr 30, 2024
Priority date	—
Expiry date	Jul 7, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30016
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

Brain tumor or other tissue classification and/or segmentation is provided based on from multi-parametric MRI. MRI spectroscopy, such as in combination with structural and/or diffusion MRI measurements, are used to classify. A machine-learned model or classifier distinguishes between the types of tissue in response to input of the multi-parametric MRI. To deal with limited training data for tumors, a patch-based system may be used. To better assist physicians in interpreting results, a confidence map may be generated using the machine-learned classifier.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.