Method and device for automatically predicting FFR based on images of vessel

US11495357B2 · kind B2 · utility

Assignee

• SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION · CN

Inventors

• Bin Ma · Plainsboro, US
• Ying Xuan Zhi · Seattle, US
• Xiaoxiao Liu · Natick, US
• Xin Wang · Seattle, US
• Youbing Yin · Kenmore, US
• Qi Song · Beijing, CN

Key dates

• Filing date: Nov 30, 2020
• Grant date: Nov 8, 2022
• Expiry date: Nov 30, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30104
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

The present disclosure is directed to a method and system for automatically predicting a physiological parameter based on images of vessel. The method includes receiving the images of a vessel acquired by an imaging device. The method further includes determining a sequence of temporal features at a sequence of positions on a centerline of the vessel based on the images of the vessel, and determining a sequence of structure-related features at the sequence of positions on the centerline of the vessel. The method also includes fusing the sequence of structure-related features and the sequence of temporal features at the sequence of positions respectively. The method additionally includes determining the physiological parameter for the vessel at the sequence of positions, by using a sequence-to-sequence neural network configured to capture sequential dependencies among the sequence of fused features.