Dense body marker estimation from camera data for patient positioning in medical imaging

US11748899B2 · kind B2 · utility

Assignee

• Siemens Healthcare Limited · DE

Inventors

• Yao-Jen Chang
• Jiangping Wang · Novi, US
• Vivek Singh · Monmouth Junction, US
• Ruhan Sa · Monmouth Junction, US
• Ankur Kapoor · Plainsboro, US
• Andreas Wimmer · Graz, AT

Key dates

• Filing date: Feb 7, 2019
• Grant date: Sep 5, 2023
• Expiry date: Jun 9, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30196
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

Machine learning is used to train a network to estimate a three-dimensional (3D) body surface and body regions of a patient from surface images of the patient. The estimated 3D body surface of the patient is used to determine an isocenter of the patient. The estimated body regions are used to generate heatmaps representing visible body region boundaries and unseen body region boundaries of the patient. The estimation of 3D body surfaces, the determined patient isocenter, and the estimated body region boundaries may assist in planning a medical scan, including automatic patient positioning.