Abstract: A method for determining the relative position between a first camera and a second camera used in a medical application, wherein the first camera captures a 2D image of a phantom, the second camera emits light onto the phantom and analyzes the reflected light, thus generating a 3D point cloud representing points on the surface of the phantom, and the phantom has a planar surface forming a background on which a plurality of 2D markers are formed, wherein one of the background and the 2D markers is reflective, thus reflecting light emitted by the second camera back to the second camera, and the other one is non-reflective, thus not reflecting light emitted by the second camera back to the second camera, the method involving that a) the first camera captures a 2D image of the phantom, b) the second camera generates a 3D point cloud representing the planar surface of the phantom, c) the 2D markers are identified in the 2D image, thus obtaining 2D marker data representing the locations of the 2D markers in the 2D

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.

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 method and system supports pre-positioning a patient for treatment by radiotherapy or radiosurgery. The disclosed method encompasses comparing an image of a reference structure having a known position relative to an anatomical body part of a patient, such as a live thermal/infrared image of the reference structure, to a predetermined medical image of the reference structure associated with a known position relative to a reference position, such as a known isocenter of a radiotherapy or radiosurgery apparatus. On that basis, it is determined whether the reference structure has moved relative to the reference position. A decision may be made to determine whether the reference structure and therefore the patient has been correctly positioned and/or kept in his desired position relative to a treatment device, and to compensate for any possible positional deviation by moving the patient.

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.

Abstract: First and second skeleton model data is determined based on first and second surface data of a patient. Each of the skeleton model data describes geometries of rigid anatomic structures of a patient at a different point in time. Skeleton difference data is determined describing differences between the geometries of the rigid anatomic structures. In a next step, movement instruction data is determined which describes movement to be performed by the rigid anatomic structures to minimize the differences, i.e. to correct the posture of the patient. The movement instruction data is for example determined based on anatomy constraint data which describes anatomical movement constraints for the rigid anatomic structures (e.g. range of motion of a joint). An instruction is displayed (e.g. using augmented reality), guiding the user how to move the rigid anatomic structures so as to correct the patient's posture.

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: 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 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 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: Disclosed is a computer-implemented method for determining the pose of an anatomical body part of a patient's body for planning radiation treatment, a corresponding computer program, a non-transitory program storage medium storing such a program and a computer for executing the program, as well as a system for determining the pose of an anatomical body part of a patient's body for planning radiation treatment, the system comprising an electronic data storage device and acquire surface tracking data the aforementioned computer.

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 method and system supports pre-positioning a patient for treatment by radiotherapy or radiosurgery. The disclosed method encompasses comparing an image of a reference structure having a known position relative to an anatomical body part of a patient, such as a live thermal/infrared image of the reference structure, to a predetermined medical image of the reference structure associated with a known position relative to a reference position, such as a known isocenter of a radiotherapy or radiosurgery apparatus. On that basis, it is determined whether the reference structure has moved relative to the reference position. A decision may be made to determine whether the reference structure and therefore the patient has been correctly positioned and/or kept in his desired position relative to a treatment device, and to compensate for any possible positional deviation by moving the patient.

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: 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: 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.