Brainlab Ag

Continental Automotive Gmbh

Merz Dental Gmbh

Stefan Seifert

Stefan Vilsmeier

Andreas Blumhofer

Hagen Kaiser

Sebastian Pflesser

Philipp Neubauer

Ralf Zimehl

Raif Zimehl

Disclosed is a computer-implemented method for partitioning a medical image which encompasses acquiring a medical image of a surface of a patient and a surface of at least one object (embodied by image data), for example, by means of a 3D scanning device. Furthermore, a thermal image of the surface of the patient and the surface of the object is acquired (embodied by thermal data), for example, by means of a thermal camera. The medical image and the thermal image are fused (based on registration data), such that the image data is associated with the thermal data (embodied by association data). By analyzing the association data with regard to a specified condition (embodied by condition data), for example a condition related to a temperature threshold, a subset of the association data which fulfills the condition and describes a part of the medical image is determined (embodied by condition compliance data). For example, the object is colder than the skin of the patient, so by applying the temperature threshold, the part of the image representing the object may be identified. Accordingly, a part of the medical image showing a surface of the patient may be distinguished from a part of the medical image showing a surface of the object. Furthermore, and for example, one of those two parts may be defined to be a region of interest, and a positional shift of the region of interest (e.g. a face of the patient) may be determined by tracking the region of interest.

Partitioning a medical image

The invention relates to a data processing method of determining a change of an image of an anatomical body part of a patient's body, the method being executed by a computer and comprising the following steps: a) acquiring static medical image data comprising static medical image information describing anatomical body part in a first anatomical spatial state of an anatomical vital spatial change of the anatomical body part; b) acquiring patient model data comprising patient model information describing a model body part corresponding to the anatomical body part, wherein the patient model information describes the model body part in a plurality of model spatial states of a model vital spatial change corresponding to the anatomical vital spatial change; c) determining spatial state mapping data comprising spatial state mapping information describing at least one of a first mapping from the model body part in a first one of the plurality of model spatial states to the model body part in a second, different one of the plurality of model spatial states, the first model spatial state corresponding to the first anatomical spatial state, and a second mapping from the model body part in the first model spatial state to the anatomical body part in the first anatomical spatial state; d) determining, based on the static medical image data and the spatial state mapping data, transformed medical image data comprising transformed medical image information describing the anatomical body part in a second anatomical spatial state of the anatomical vital spatial change, the second anatomical spatial state corresponding to the second model spatial state.

Determining a four-dimensional CT image based on three-dimensional CT data and four-dimensional model data

Growing community of inventors

Isen, Germany

Stefan Seifert