Abstract: Disclosed is a computer-implemented medical data processing method for supporting positioning a patient for treatment by at least one of radiotherapy or radiosurgery, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S11), at the at least one processor, planning image data describing a digital planning image of an anatomical body part of a body (1) of the patient; b) acquiring (S12), at the at least one processor, planning image alignment data describing a relative position between the anatomical body part and a predetermined reference position at the point in time when the planning image data was generated; c) acquiring (S13), at the at least one processor, thermal reference image data describing a thermal reference image of the anatomical body part; d) acquiring (S14), at the at least one processor, thermal imaging device reference position data describing a relative position between a thermal imaging device (17) used for taking the thermal referenc

Abstract: Disclosed is a method for determining a positional pattern of an irradiation unit for irradiating a patient with treatment radiation. Optimal order data describing an order of the irradiation unit positions for which the statistical value is optimal is determined. The optimal order data is determined based on irradiation unit position data describing irradiation unit positions of the irradiation unit for which the imaging device has a free viewing direction onto the position of the patient, position orders data describing all possible orders of the irradiation unit positions for which the imaging device has a free viewing direction onto the position of the patient, and intersection angle data describing a statistical quantity of the intersection angles between free viewing directions of the imaging unit for irradiation unit positions which are immediately subsequent in the order described by the position orders data.

Abstract: A computer implemented method for performing fusion of 3D image data, which represent at least a part of a patient's body, with two 2D images of the patient's body with a known spatial relation between the viewing directions of the 2D images, comprising the steps of: -acquiring the 3D image data, -acquiring the two 2D images, -calculating two virtual images from the 3D image data, the two virtual images corresponding to the two 2D images, -classifying the two 2D images into a primary and a secondary image, -determining a primary alignment between the primary image and the corresponding virtual image such that they match, -calculating a spatial axis relative to the viewing directions of the two 2D images from the primary alignment and a predetermined point which is imaged in the virtual image which corresponds to the primary image, wherein the spatial axis is a line in space on which the predetermined point lies, and -performing fusion of the 3D image data with the two 2D images based on the calculated spatial

Abstract: A data processing method performed by a computer for determining breathing signal data which represents a breathing cycle of a patient, comprising the steps of: acquiring image data representing a sequence of training thermal images of at least a part of the surface of the patient's body over time, the sequence covering at least one half breathing cycle and being captured by a thermographic camera; and tracking at least one tracked point in the image data over the sequence of training thermal images to find a trajectory of the tracked point as the breathing signal data, wherein the tracked point is a point on the surface of the patient's body.

Abstract: A medical image processing method performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.

Abstract: A medical data processing method for tracking the position of a body surface of a patient's body, the method comprising determining, based on initial surface reflection data and reflection pattern registration data, body surface movement data describing whether the body surface has undergone a movement.

Abstract: A camera assembly (3) for use in medical tracking applications, comprising a range camera (4) and a thermographic camera (5) in a fixed relative position.