Artificial intelligence (AI)-based standardized uptake value (SUV) correction and variation assessment for positron emission tomography (PET)

US12346998B2 · kind B2 · utility

Assignee

• KONINIKLIJKE PHILIPS N.V. · NL

Inventors

• Andreas Goedicke · Aachen, DE
• Bin Zhang · Shanghai, CN
• Andriy ANDREYEV · Willoughby Hills, US
• Andre Frank Salomon · Aachen, DE
• Yanfei Mao · Highland Heights, US
• Chuanyong Bai · Poway, US
• Zhiqiang Hu · Twinsburg, US

Key dates

• Filing date: Nov 8, 2019
• Grant date: Jul 1, 2025
• Expiry date: Oct 20, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2211/40
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (181, 182, 20) to perform an imaging method (100). The method includes: reconstructing emission imaging data to generate an emission image of a lesion; converting intensity values of the emission image to at least one standardized uptake value (SUV value) for the lesion; processing input data using a regression neural network (NN) (28) to output an SUV correction factor for the lesion, wherein the input data includes at least two of (i) image data comprising the emission image or a feature vector representing the emission image, (ii) the at least one SUV value, (iii) a size of the lesion, and (iv) reconstruction parameters used in the reconstructing; and controlling a display device (24) to display at least one of (I) the SUV correction factor and (II) a corrected SUV value generated by applying the SUV correction factor to the at least one SUV value.