Abstract: The invention concerns a digitizing ASIC (3) for an ultrasound scanning unit (2) of an ultrasound system (1), comprising: an array of analogue-to-digital converters (31) adapted to receive ultrasound signals acquired with an ultrasound transducer array and to convert the ultrasound signals into digitized ultrasound data; a memory module (32) operably coupled to the array of analogue-to-digital converters (31) and adapted to store the digitized ultrasound data; a transmitter operably coupled to the memory module (32) and adapted to transfer the digitized ultrasound data stored in the memory module (32) to a remote interface unit (6); and a controller (33) adapted to receive control signals from the interface unit (6), and, responsive to the control signals, configure the operation of components of the ASIC (3) and/or the ultrasound scanning unit (2) by setting operation parameters, wherein the controller (33) is adapted to change operation parameters of the ASIC (3) and/or the ultrasound scanning unit (2) duri

Abstract: Disclosed is a system for analysis of microscopic image data which includes a data processing system. Pixel classification data for each of a plurality of pixels of the microscopic image data are read. The pixel classification data include for each of the pixels of the microscopic image data, binary or probabilistic classification data for classifying the pixel of the microscopic image data into one or more object classes of pre-defined objects which are shown by the image. At least a portion of the pixels of the microscopic image data are grouped to form one or more pixels groups. For each of the pixel groups, probabilistic group classificati on data are calculated depending on the pixel classification data of the pixels of the respective group. The probabilistic group classification data are indicative of a probability that the group shows at least a portion of an object of the respective object class.

Abstract: The invention is directed to method for ultrasound (US) imaging using an ultrasound system comprising a US probe (10), wherein the US probe (10) is configured to insonify an imaging region, receive echo signals, digitize the received echo signals and transfer the digitized radiofrequency (RF) data (14) to a data processing unit adapted to beamform the RF data (14). The method comprises acquiring at least one scouting image (15) including an anatomical structure; selecting at least one region of interest (ROI) (16) within the scouting image (15), wherein the at least one ROI (16) includes a portion of the anatomical structure; setting a transmit (TX) scheme (46) and a receive (RX) scheme (48) for US imaging of the imaging region (18), in which the ROI (16) is insonified with different TX and RX settings than the imaging region (18) outside the ROI (16); and acquiring a plurality of US images (26) according to the TX and RX scheme.

Abstract: A process for converting an arbitrary input digital pathology image into an output digital pathology image that shares statistical information with a reference image. The input digital pathology image is separated into two or more image sections. Each image section is encoded, using a first convolutional neural network, into one or more feature maps. The one or more feature maps of each image section are modified based on statistical information derived from a reference image. The modified feature map(s) of each image section is/are then decoded to construct a respective image section for an output image. The constructed image sections for an output image then form the output image.

Abstract: The invention relates to a respiratory motion detection apparatus (1) for detecting respiratory motion of a person. An illuminator (3) illuminates the person (2) with an illumination pattern (11), and a detector (4) detects the illumination pattern (11) on the person (2) over time. A temporal respiratory motion signal being indicative of the respiratory motion of the person (2) is determined from the detected illumination pattern by a respiratory motion signal determination unit (5). The illumination pattern deforms significantly with slight movements of the person. Thus, since the respiratory motion signal determination unit (5) is adapted to determine the temporal respiratory motion signal from the detected illumination pattern, even slight respiratory movements of the person can be determined. The sensitivity of detecting respiratory movements of a person can therefore be improved.

Abstract: Disclosed is a system for analysis of microscopic image data which includes a data processing system. Pixel classification data for each of a plurality of pixels of the microscopic image data are read. The pixel classification data include for each of the pixels of the microscopic image data, binary or probabilistic classification data for classifying the pixel of the microscopic image data into one or more object classes of pre-defined objects which are shown by the image. At least a portion of the pixels of the microscopic image data are grouped to form one or more pixels groups. For each of the pixel groups, probabilistic group classificati on data are calculated depending on the pixel classification data of the pixels of the respective group. The probabilistic group classification data are indicative of a probability that the group shows at least a portion of an object of the respective object class.

Abstract: The invention relates to a printing control device (10) to control printing of a cover layer on a tissue or cell sample to be examined, a system (1) for printing of a cover layer (1) on a tissue or cell sample to be examined, a method to control printing of a cover layer on a tissue or cell sample to be sample to be examined, a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The printing control device (10) comprises an imaging unit (11) and a printing control unit (12). The imaging unit (11) is configured to provide image data of the sample, and to determine a local image parameter from the image data. The local image parameter relates to local tissue porosity and/or a local capillary force of the sample. The printing control unit (12) is configured to control a printing parameter for printing the cover layer on the sample based on the local image parameter.

Abstract: The present invention relates to an illustration of an annotation (22) at a sample slide (14). It is the intention for the invention to copy the annotation (22) provided at a reference slide (12) to the sample slide (14). Typically, a reference image (26) of the reference slide (12) is provided, in particular by scanning the reference slide (12). The reference image (26) therefore has the information about a reference slice (16) which is carried by the reference slide (12). Furthermore, the reference slide (12) has been marked with a region of interest (20) and the annotation (22), which can be associated with the region of interest (20). If such reference slide (12) is scanned, the respective reference image (26) comprises the information about the marked region of interest (20) as well as the annotation (22), too. Furthermore, the sample slide (14) carrying a sample slice (18) can be scanned, in order to provide a sample image (28).

Abstract: A method for estimating the absolute size dimensions of a test object based on image data of the test object, namely a face or part of a person. The method includes receiving image data of the test object, determining a first model of the test object based on the received image data, and aligning and scaling the first model to a first average model that includes an average of a plurality of first models of reference objects being faces or parts of faces of reference persons. The first models of the reference objects are of a same type as the first model of the test object.

Abstract: An electronic apparatus (1) including a display generation unit (110) configured to generate a display area (210) in a user interface, the display area being configured to display a 3-D model of a patient's face and a 3-D model of a patient interface device fitted to the 3-D model of the patient's face; and an interaction map unit (160) configured to generate an interaction map tool (260) in the user interface and to calculate an interaction map between the patient's face and the patient interface device indicating levels of an interaction characteristic between the patient's face and the patient interface device, wherein the interaction map tool is operable to toggle display of the interaction map in the user interface.

Abstract: The present invention relates to a method for estimating absolute size dimensions of a test object (32) based on image data of the test object (32), the test object (32) being a face or part of a face of a test person, the method comprising the steps of: —receiving (S101) image data of the test object (32); —determining (S102) a first model (30) of the test object (32) based on the received image data, wherein the first model (30) has an unknown scale; —aligning and scaling the first model (30) of the test object (32) to a first average model, wherein the first average model includes an average of a plurality of first models of reference objects being faces or parts of faces of reference persons, wherein said first models of the reference objects are of a same type as the first model (30) of the test object (32) and have an unknown scale; —determining a shape difference between the test object (32) and an average of the reference objects by determining a difference between the aligned and scaled first model o

Abstract: The present invention relates to an illustration of an annotation (22) at a sample slide (14). It is the intention for the invention to copy the annotation (22) provided at a reference slide (12) to the sample slide (14). Typically, a reference image (26) of the reference slide (12) is provided, in particular by scanning the reference slide (12). The reference image (26) therefore has the information about a reference slice (16) which is carried by the reference slide (12). Furthermore, the reference slide (12) has been marked with a region of interest (20) and the annotation (22), which can be associated with the region of interest (20). If such reference slide (12) is scanned, the respective reference image (26) comprises the information about the marked region of interest (20) as well as the annotation (22), too. Furthermore, the sample slide (14) carrying a sample slice (18) can be scanned, in order to provide a sample image (28).

Abstract: A system (2) including a geometric fit score database (360) configured to store a plurality of 3-D models of faces and a pre-calculated geometric fit score for each of one or more patient interface devices for each of one or more of the faces, and a first processing unit (380) including a match finding unit (382) configured to match the 3-D model of the patient's face with one or more of the stored 3-D models of faces and to use the pre-calculated geometric fit score for each of the one or more of the patient interface devices for the one or more matched faces to determine the geometric fit score for each of the one or more patient interface devices for the patient's face.

Abstract: A series of structured lighting patterns are projected on an object. Each successive structured lighting pattern has a first and second subset of intensity features such as edges between light and dark areas. The intensity features of the first set coincide spatially with intensity features from either the first or second subset from a preceding structured lighting pattern in the series. Image positions are detected where the intensity features of the first and second subset of the structured lighting patterns are visible in the images. Image positions where the intensity features of the first subset are visible are associated with the intensity features of the first subset, based on the associated intensity features of closest detected image positions with associated intensity features in the image obtained with a preceding structured lighting pattern in said series.

Abstract: The invention relates to a printing control device (10) to control printing of a cover layer on a tissue or cell sample to be examined, a system (1) for printing of a cover layer (1) on a tissue or cell sample to be examined, a method to control printing of a cover layer on a tissue or cell sample to be sample to be examined, a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The printing control device (10) comprises an imaging unit (11) and a printing control unit (12). The imaging unit (11) is configured to provide image data of the sample, and to determine a local image parameter from the image data. The local image parameter relates to local tissue porosity and/or a local capillary force of the sample. The printing control unit (12) is configured to control a printing parameter for printing the cover layer on the sample based on the local image parameter.

Abstract: The present invention relates to a scanning device (10, 10?) for scanning an object (12), wherein the scanning device (10) comprises a projection unit (16) for projecting an alignment image (28) onto the object (12), said alignment image (28) comprising a main pattern (26), an image capturing unit (18) for capturing a live camera image (30) of the object (12), said live camera image (30) comprising a derivative pattern (32) of the main pattern (26), the derivative pattern (32) representing said projected alignment image (28) as seen from the image capturing unit viewpoint, and an alignment unit (22, 22?) for providing an indication of a correct position and/or orientation of the scanning device (10) with respect to the scanned object (12) on the basis of the captured live camera image (30).

Abstract: An electronic apparatus for use in selecting a patient interface device and including a geometric fit score determining unit (42) configured to calculate a geometric fit score for each of one or more of patient interface devices, a patient criteria fit score determining unit (44) configured to calculate a patient criteria fit score for each of the one or more patient interface devices, and an overall fit score determining unit (46) configured to calculate an overall fit score for each of the one or more patient interface devices based on the calculated geometric fit score and the calculated patient criteria fit score for each of the one or more patient interface devices.

Abstract: There is provided a light detection system which is capable of determining in light embedded codes by detecting light in a scene which is illuminated by an illumination system (110) comprising one or more light sources (111,112,113) each providing a light contribution (I111, I112, I113) comprising an embedded code (ID#1, ID#2, ID#3) emitted as a temporal sequence of modulations in a characteristics of the light emitted. The light detection system comprises light detection means (220), which are arranged for acquiring at least one image of the scene, where the image is acquired a plurality of temporal shifted line instances. Each line of the acquired image comprises an instance of the temporal sequence of modulations of the first embedded code. The light detection system further comprises means (230) for determining embedded codes from the spatial pattern of modulations.

Abstract: An electronic apparatus (1) includes a display generation unit (110) configured to generate a display area (210) in a user interface (200-4,200-5), the display area being configured to display a 3-D model of a patient's face and a 3-D model of a patient interface device fitted to the 3-D model of the patient's face; and a transparency adjustment unit (150) configured to generate a transparency adjustment tool (250) in the user interface, the transparency adjustment tool being operable to adjust the transparency of a subset of components of the 3-D model of the patient interface device displayed in the 3-D display area of the user interface.

Abstract: The location of a face is detected from data about a scene. A 3D surface model from is obtained from measurements of the scene. A 2D angle data image is generated from the 3D surface model. The angle data image is generated for a virtual lighting direction, the image representing angles between a ray directions from a virtual light source direction and normal to the 3D surface. A 2D face location algorithm is applied to each of the respective 2D images. In an embodiment respective 2D angle data images for a plurality of virtual lighting directions are generated and face locations detected from the respective 2D images are fused.