Abstract: A method for processing medical image information includes generating a first intensity distribution for a first image region, generating a second intensity distribution for a second image region, calculating values based on the first and second intensity distributions, and automatically determining a custom viewing window based on the calculated values. The custom viewing window is determined to display the first image region and the second image region, which may be in the same image or different images. The images may include brain scan images or other types of images.

Abstract: Disclosed herein is a medical system (100, 300, 400) comprising: a memory (110) storing machine executable instructions (120) and a computational system (104). Execution of the machine executable instructions causes the computational system to: receive (200) modified three-dimensional tomographic medical image data (122) that has been facially erased within a facial zone (128); fit (202) a model-based segmentation (126) to the modified three-dimensional tomographic medical image data, wherein the model-based segmentation comprises multiple surface meshes (602, 604, 606, 608, 700) that define anatomical regions (800); label (204) each of the voxels of a reconstructed region (130) of the modified three-dimensional tomographic medical image data with an anatomical label according to anatomical regions defined by the multiple surface meshes; and assign (206) a contrast value to voxels in the reconstructed region using the anatomical label to provide repaired three-dimensional tomographic medical image data (132).

Abstract: A method for processing medical information includes receiving an image slice of a brain including segmented regions, forming a first histogram of intensity values for the image slice, and forming a second histogram of intensity values for the image slice. A difference histogram is then generated based on the first and second histograms and the existence of an abnormality in the image slice is determined based on the difference histogram. The first histogram may correspond to a first segmented region in a first portion of the image slice, and the second histogram may correspond to a second segmented region in a second portion of the image slice which is complementary to the first portion. The first and second segmented regions may be, for example, segmented and labeled ASPECTS regions.

Abstract: The invention relates to a regions identifying apparatus (1) for identifying regions in an image like a computed tomography image showing a brain. A model providing unit (6) provides a three-dimensional model of a head of a living being, wherein the three-dimensional model includes Alberta Stroke Program Early CT Score (ASPECTS) regions of a brain, and a regions identifying unit (7) identifies ASPECTS regions in the three-dimensional image by applying the three-dimensional model to the three-dimensional image. This allows for an accurate, automatic identification of the ASPECTS regions independently of the orientation of the head in an imaging system, independently of an image slice thickness and also independently of a respective user like a physician. This leads to imaging an improved accuracy of determining the ASPECTS regions which allows for an improved quantification of ischemic changes in the brain after stroke. This in turn also allows for an improved treatment recommendation.

Abstract: A method (10) that encodes electrode locations to a mean scalp mesh for adaptation to subsequent image scans.

Abstract: Presented are concepts for adapting a first, pre-defined mesh topology representing an organ to a second, different mesh topology of the organ. One such concept includes identifying correspondence between the first and second mesh topologies based on spectral matching of the first and second mesh topologies. The first, predefined mesh topology is aligned with the second mesh topology based on the identified correspondence between the first and second mesh topologies.

Abstract: The present invention refers to a method for producing polymeric compositions, preferably in the form of water-based (i.e. waterborne) compositions, more preferably dispersions (i.e. emulsions or latices), which are particularly useful as or in adhesives, especially pressure-sensitive adhesives, particularly pressure-sensitive adhesives degradable under basic conditions, as well as to the polymeric compositions thus produced and to their applications.

Abstract: The present disclosure relates to a method for medical imaging method for locating anatomical landmarks of a predetermining defined anatomy.

Abstract: There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than ?800 HU.

Abstract: In an embodiment, deriving low frequency conductivity based on radio frequency conductivity derived from Electric Properties Tomography for use in source localization.

Abstract: A brachytherapy treatment planning system includes a processor that: receives a planning image corresponding to at least a portion of a prostate; generates a brachytherapy treatment plan comprising, for each of a plurality of brachytherapy seeds or catheters, a corresponding brachytherapy seed or catheter position in the planning image such that the plurality of brachytherapy seed or catheter positions in the planning image together satisfy a desired radioactive dose objective in the prostate; receives a pre-treatment image corresponding to the at least a portion of a prostate; and maps each brachytherapy seed or catheter position in the planning image to a corresponding position in the pre-treatment image by performing a registration between the planning image and the pre-treatment image.

Abstract: The invention relates to a regions identifying apparatus (1) for identifying regions in an image like a computed tomography image showing a brain. A model providing unit (6) provides a three-dimensional model of a head of a living being, wherein the three-dimensional model includes Alberta Stroke Program Early CT Score (ASPECTS) regions of a brain, and a regions identifying unit (7) identifies ASPECTS regions in the three-dimensional image by applying the three-dimensional model to the three-dimensional image. This allows for an accurate, automatic identification of the ASPECTS regions independently of the orientation of the head in an imaging system, independently of an image slice thickness and also independently of a respective user like a physician. This leads to imaging an improved accuracy of determining the ASPECTS regions which allows for an improved quantification of ischemic changes in the brain after stroke. This in turn also allows for an improved treatment recommendation.

Abstract: A method (10) that encodes electrode locations to a mean scalp mesh for adaptation to subsequent image scans.

Abstract: The invention relates ultrasound assistance device (20), an ultrasound device including such ultrasound assistance device, a medical system (100) including the same and a corresponding method as well as to a corresponding software product. According to the present invention, a segmentation of first image data (e.g. MRI data) and deformation information is obtained, while the deformation information may be obtained explicitly or implicitly (e.g. from general information of the equipment used and/or from the first image data/the segmentation of the first image data). Such deformation information is used for adjustment (e.g. automatic adjustment or guided adjustment including feedback to a user) for an adjustable ultrasound probe (30, 30?), while the ultrasound image acquired by such adjusted ultrasound probe is then segmented using the segmentation of the first image data.

Abstract: A seizure characterization method includes correlating locations of electrodes placed around a brain and used to produce sequential electroencephalography (EEG) signals with a three-dimensional anatomical brain model derived from magnetic resonance imaging (MRI). The sequential EEG signals are modelled from the electrodes placed around the brain in three dimensions using cortical and sub-cortical brain regions included in the brain model to define constraints for the numerical solution. Amounts of the sequential EEG signals are quantified in three dimensions relative to the brain regions included in the brain model. The method also includes establishing, based on the quantifying, at least one propagation pattern of the sequential EEG signals in time relative to the brain regions in the brain model.

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring MRF magnetic resonance data (144) from a subject (118) within a region of interest (109). The magnetic resonance imaging system comprises a processor (130) for controlling the magnetic resonance imaging system and a memory (134) for storing machine executable instructions (140) and MRF pulse sequence commands (142). The MRF pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the MRF magnetic resonance data according to a magnetic resonance fingerprinting protocol.

Abstract: A brachytherapy treatment planning system includes a processor that: receives a planning image corresponding to at least a portion of a prostate; generates a brachytherapy treatment plan comprising, for each of a plurality of brachytherapy seeds or catheters, a corresponding brachytherapy seed or catheter position in the planning image such that the plurality of brachytherapy seed or catheter positions in the planning image together satisfy a desired radioactive dose objective in the prostate; receives a pre-treatment image corresponding to the at least a portion of a prostate; and maps each brachytherapy seed or catheter position in the planning image to a corresponding position in the pre-treatment image by performing a registration between the planning image and the pre-treatment image.

Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring MRF magnetic resonance data (144) from a subject (118) within a region of interest (109). The magnetic resonance imaging system comprises a processor (130) for controlling the magnetic resonance imaging system and a memory (134) for storing machine executable instructions (140) and MRF pulse sequence commands (142). The MRF pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the MRF magnetic resonance data according to a magnetic resonance fingerprinting protocol.

Abstract: There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than ?800 HU.

Abstract: The invention provides for a medical instrument (100) comprising a processor (134) and a memory (138) containing machine executable instructions (140). Execution of the machine executable instructions causes the processor to: receive (200) a first magnetic resonance image data set (146) descriptive of a first region of interest (122) of a subject (118) and receive (202) at least one second magnetic resonance image data set (152, 152?) descriptive of a second region of interest (124) of the subject. The first region of interest at least partially comprises the second region of interest. Execution of the machine executable instructions further cause the processor to receive (204) an analysis region (126) within both the first region of interest and within the second region of interest.