System und Verfahren zur Subjektspezifischen Amyloidpositronsemissionstomografieübersetzung unter Verwendung eines Konditionierten Diffusionsbasierten Generativen Modells

Details

Veröffentlichungs-Nr.

EP4663127

Aktenzeichen

EP25181930

Anmeldetag

11. Juni 2025

Veröffentlichung

17. Dezember 2025

Rechtsraum

EP

IPC

A61B6/03A61B6/00G06N3/0475G06T7/00G16H50/20

Abstract

Amyloid deposition is considered a viable biomarker for Alzheimer's disease which is expensive and less used modality to study amyloid spatial distribution in brain. The present disclosure addresses problems of conventional approaches which exhibit trade-off between performance and mode collapse. This disclosure provides a system and method for subject-specific amyloid position emission tomography (PET) translation using conditioned diffusion-based generative model. The present disclosure discloses an architecture for synthesizing subject-specific amyloid images with a diffusion model. First effectiveness of a relationship between Fluorodeoxyglucose (FDG) and amyloid PET images is identified. Further, a framework is provided to synthesize Amyloid PET by utilizing its connection to FDG PET of same subject and cross-subject trends in amyloid deposition by incorporating age, gender and disease status information in learning process. In the other words, a diffusion model inspired image translation is provided to synthesize Amyloid PET from FDG PET and cross-subject amyloid deposition patterns.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete