Method and system for hemodynamic assessment of aortic coarctation from medical image data

US9135699B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Kristóf Ralovich · Munich, DE
• Lucian Mihai Itu · Brașov, RO
• Viorel Mihalef · New Brunswick, US
• Puneet Sharma · Rahway, US
• Razvan Ioan Ionasec · Lawrenceville, US
• Dime Vitanovski · Erlangen, DE
• Waldemar Krawtschuk · Erlangen, DE
• Dorin Comaniciu · Princeton Junction, US

Key dates

• Filing date: Mar 14, 2013
• Grant date: Sep 15, 2015
• Expiry date: Jan 23, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30104
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method and system for non-invasive hemodynamic assessment of aortic coarctation from medical image data, such as magnetic resonance imaging (MRI) data is disclosed. Patient-specific lumen anatomy of the aorta and supra-aortic arteries is estimated from medical image data of a patient, such as contrast enhanced MRI. Patient-specific aortic blood flow rates are estimated from the medical image data of the patient, such as velocity encoded phase-contrasted MRI cine images. Patient-specific inlet and outlet boundary conditions for a computational model of aortic blood flow are calculated based on the patient-specific lumen anatomy, the patient-specific aortic blood flow rates, and non-invasive clinical measurements of the patient. Aortic blood flow and pressure are computed over the patient-specific lumen anatomy using the computational model of aortic blood flow and the patient-specific inlet and outlet boundary conditions.