Brainlab Ag

Other

Accuray Inc.

Brainlab Se

Kajetan Berlinger

Hagen Kaiser

Birte Domnik

Stephan Froehlich

Michael Stead

Pascal Bertram

Andreas Blumhofer

Stephan Erbel

Cornel Schlossbauer

Elisa Garcia Corisco

Armin Fürst

Joerg Rehs

Stephan Fröhlich

Franz Gum

Sebastian Bernhard Knorr

Eva Maria Gronbach

Stefan Vilsmeier

Dongshan Fu

Richard Wohlgemuth

Steffen Heinrich

Elisa Garcia Corsico

Milos Marić

Stephan Brumme

Stephan Elsner

Christian Spika

Jorg Rehs

Jörg Rehs

Milos Maric

Birte Dominik

Stephan FRÖHLICH

Milo Maric

Fürst Armin

Disclosed is a computer-implemented method which encompasses comparing the requirements for radiation therapy imposed by a patient's individual condition to the capabilities and requirements of different types of treatment machines to determine a suitable radiation treatment strategy including an identification of the treatment machine which shall be used and a treatment plan. Furthermore, a treatment plan is generated by simulating the envisaged radiation treatment. The type of treatment machine associated with a predetermined value for the sum of weights for all fields assigned to that treatment machine is determined as the treatment machine for treating the patient, and corresponding information is output detailing the treatment specifics such as radiation treatment parameters specifically suited for the patient target region tumor thereby reducing radiation exposure, efficient use of the machine and appropriate gating and tracking modes.

Radiation treatment parameters for target region tumour

A computer-implemented medical method of determining a breathing signal of a patient is disclosed. The method includes determining a motion trajectory of a structure associated with at least one body part of the patient, the motion trajectory being indicative of a respiratory movement of the structure, acquiring surface data representative of a position of a surface region of the patient, computing an intersection of the determined motion trajectory and the acquired surface data, and determining a breathing signal of the patient based on the computed intersection. The breathing signal is indicative of a breathing state of the patient.

Computation of a breathing curve for medical applications

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

Medical camera assembly comprising range camera and thermographic camera

A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.

Determination of dynamic DRRs

A compartmentalized dynamic anatomic atlas is disclosed, comprising static atlas data comprising spatial element data and element representation data, wherein the spatial element data describes spatial properties of a spatial atlas element and wherein the element representation data describes representational properties assignable to the spatial atlas element, the atlas further comprising dynamic atlas data comprising information on a dynamic property which information is respectively linked to the spatial atlas element.

Compartmentalized dynamic atlas

The present invention relates to a medical data processing method of determining the representation of an anatomical body part () of a patient () in a sequence of medical images, the anatomical body part () being subject to a vital movement of the patient (), the method being constituted to be executed by a computer and comprising the following steps:

Tracking soft tissue in medical images

The present invention relates to a computer-implemented medical method for monitoring a spatial position of a patient's body part, wherein at least one optimum spatial direction for a line of sight of a check x-ray-image is determined, that qualifies for quantifying a deviation of the spatial position of the patient's body part from a target spatial position for the patient's body part. The present invention further relates to a corresponding computer program and a corresponding medical system.

Triggering of x-ray-images based on surface measurements

The present invention relates to a computer-implemented medical method for improving the suitability of a tracking structure for tracking by tessellating the tracking structure into a plurality of sub-tracking structures. The invention also relates to a computer configured to execute a program corresponding to the method and a medical system for improving the suitability of a tracking structure for tracking, the system including the aforementioned computer.

Soft tissue tracking using physiologic volume rendering

A positional pattern of an irradiation unit for irradiating a patient with treatment radiation is determined based on optimal order data describing an order of the irradiation unit positions for which the statistical value is optimal. 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.

Sorting the sequential arrangement of radiation treatment beams regarding well-distributed unobstructed lines of sight

A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.

Heatmap and atlas

A camera assembly for use in medical tracking applications having a range camera and a thermographic camera in a fixed relative position. The range camera is configured to acquire a first image of an object at a first instant of time and a second image at a second instant of time. The thermographic camera is configured to acquire a first thermal image of the object at the first instant and a second thermal image at the second instant. A processor identifies at least one point pair in the first thermal image and the second thermal image. The at least one point pair is mapped to corresponding point pairs associated with the first image and the second image. Movement of the object is determined based on the mapping.

The disclosed method encompasses reconstruction of a three-dimensional position of a tracking structure (which may comprise a target of radiation treatment) as reconstructed tracking structure data from pairs of two-dimensional tracking images which are input as tracking image data. Each tracking image contained in a pair of tracking images is compared to a tracking representation of the tracking structure contained in a search template image generated from the same perspective onto the tracking structure as the associated tracking image and input as search template data. The tracking image having the highest at local degree of similarity to its associated search template image is selected as a starting point (the first tracking image) for computing a corresponding image position (a complement point) in the other tracking image (the second tracking image) on the basis of applying epipolar geometry outgoing from the position in the first tracking image associated with the highest local degree of similarity. The method then continues with determining whether there is a point in the second tracking image having a higher degree of similarity than the complement point. Depending on the result of this analysis, an accumulated value of similarity is determined for each pair of tracking images depending on the sum of similarity values of the maximum similarity points in the first and second tracking images so determined. The position of the tracking structure is determined as the intersection of back-projection lines of the points being associated with the highest sum of associated similarity values. Thereby, the reliability of position determination from stereoscopic two-dimensional x-ray images can be enhanced.

Soft tissue stereo-tracking

The present invention involves positionally identifying several anatomical structures of interest of a patient's anatomy on images which have been acquired at different points of time. For each anatomical structure a separate image fusion transformation between these images is performed. For at least one of the image fusion transformations it is then determined whether this transformation is within a predetermined threshold, wherein for this determination, at least one further image fusion transformation of another anatomical structure is taken into account.

Multi image fusion based positioning verification

Disclosed is a computer-implemented method for determining a position of an anatomical tracking structure in a tracking image usable for controlling a radiation treatment such as at least one of radiotherapy or radio surgery of a patient, 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 the position of an anatomical tracking structure in a tracking image usable for controlling a radiation treatment such as at least one of radiotherapy or radio surgery of a patient, a system comprising an electronic data storage device and the aforementioned computer.

Growing community of inventors

Munich, Germany

Kajetan Berlinger