Determining a difference image dataset of an examination volume

US11017514B2 · kind B2 · utility

Assignee

• Siemens Healthcare Limited · DE

Inventors

• Christian Kaethner · Forchheim, DE
• Markus Kowarschik · Koblenzer Straße, DE
• Annette Birkhold · Nuremberg, DE
• Christopher Rohkohl · Hattingen, DE
• Michael Manhart · Fürth, DE

Key dates

• Filing date: Jul 2, 2019
• Grant date: May 25, 2021
• Expiry date: Aug 21, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2211/404
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A solution for determination of a three-dimensional difference image dataset of an examination volume. Here two-dimensional real image datasets relating to the examination volume are received via an interface, each of the two-dimensional real image datasets including a two-dimensional x-ray projection of the examination volume in relation to a projection direction. Furthermore, the first difference image dataset is determined based on the two-dimensional real image datasets and based on a first trained function via a processing unit. Here the first difference image dataset is at least two-dimensional, in particular at least three-dimensional, in particular the first difference image dataset is three-dimensional or four-dimensional. The determination of the first difference image dataset based on the two-dimensional real image datasets and based on a trained function enables mask recordings of the examination volume to be dispensed with, and thus the x-ray load of the examination volume to be reduced.