Class-aware adversarial pulmonary nodule synthesis

US11049223B2 · kind B2 · utility

Assignee

• Siemens Healthcare Limited · DE

Inventors

• Jie Yang · Foster City, US
• Siqi LIU · Dongguan, CN
• Sasa Grbic · Plainsboro, US
• Arnaud Arindra Adiyoso · Nuremberg, DE
• Zhoubing Xu · Plainsboro, US
• Eli Gibson · Plainsboro, US
• Guillaume Chabin · Paris, FR
• Bogdan Georgescu · Plainsboro, US
• Dorin Comaniciu · Princeton Junction, US

Key dates

• Filing date: Jun 19, 2019
• Grant date: Jun 29, 2021
• Expiry date: Oct 10, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30064
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Systems and methods are provided for generating a synthesized medical image patch of a nodule. An initial medical image patch and a class label associated with a nodule to be synthesized are received. The initial medical image patch has a masked portion and an unmasked portion. A synthesized medical image patch is generated using a trained generative adversarial network. The synthesized medical image patch includes the unmasked portion of the initial medical image patch and a synthesized nodule replacing the masked portion of the initial medical image patch. The synthesized nodule is synthesized according to the class label. The synthesized medical image patch is output.