Abstract: An oncology monitoring system comprises: an image analysis module (42, 44) configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (10). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B0, B1, B2, B3, B4, B5, B21, B211, B22, B221, B222, B223, B23, B231, B232) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B211) responsive to selection of the graphical block by a user.

Abstract: A system for displaying a set of interrelated objects comprises an initializer (1) for identifying a plurality of interrelated objects, a first information filter (2) for selecting a first subset of the plurality of interrelated objects for display based on a first information filter setting, a first displayer (3) for displaying the first subset of the plurality of interrelated objects on a first display area, a user interface (7) for enabling a user to select a region of the first display area for enlargement by visually indicating the region in the first display area, wherein the user can select the region independently of locations of the displayed objects in the first display area, a second information filter (4) for selecting a second subset of the plurality of interrelated objects for display based on a second information filter setting, wherein the second information filter is arranged for selecting objects corresponding to the selected region with an increased level of information detail compared to t

Abstract: A method and a device for analyzing a region of interest in an object is proposed. The method comprises: (a) providing measurement data by a differential phase contrast X-ray imaging system, and (b) analyzing characteristics of the object in the region of interest. Therein, the measurement data comprise a 2-dimensional or 3-dimensional set of pixels wherein for each pixel the measurement data comprises three types of image data spatially aligned with each other, including (i) absorption representing image data A, (ii) differential phase contrast representing image data D, and (iii) coherence representing image data C. The analyzing step is based, for each pixel, on a combination of at least two of information comprised in the absorption representing image data A and information comprised in the differential phase contrast representing image data D and information comprised in the coherence representing image data C.

Abstract: To improve the scanning effect, a scanning method is provided, which comprises the steps of performing at least one of an nCT scan and a CTA scan on an object so as to obtain a set of images; detecting characteristics of a region of interest based on the set of images; and performing a CTP scan on the region of interest by adopting the characteristics to obtain a CTP image. By deriving the characteristics of the region of interest, e.g. a lesion or an area covering the lesion, before performing the CTP scan, and by adapting the subsequent CTP scan based on the characteristics of the region of interest, the drawback introduced by a limited scan area of the CTP scanner is mitigated, or even overcome.

Abstract: A system for displaying a plurality of registered images is disclosed. A first viewport unit displays a representation of a first image dataset in a first viewport. A second viewport unit displays a representation of a second image dataset in a second viewport. A position indication unit enables a user to indicate a position in the first dataset displayed in the first viewport, to obtain a user-indicated position. A corresponding position determining unit determines a position in the second image dataset corresponding to the user-indicated position, to obtain a corresponding position in the second image dataset, based on correspondence information mapping positions in the first image dataset to corresponding positions in the second image dataset. The second viewport unit displays an indication of the corresponding position in the second viewport.

Abstract: A system for generating a slicing scheme for slicing a specimen is disclosed. A parameter unit (1) is arranged for determining at least one parameter of a lesion in a specimen, based on an image dataset (14) representing at least part of the specimen. A slicing scheme unit (2) is arranged for determining a slicing scheme (15) for pathologic examination of the specimen, based on the at least one parameter. A specimen preparation unit (3) is arranged for determining a slicing preparation protocol, based on the image dataset, wherein the slicing preparation protocol comprises a representation of preparation steps relating to the specimen. A segmentation unit (5) is arranged for segmenting the lesion in the image dataset (14), wherein the parameter unit (1) is arranged for determining the at least one parameter, based on the segmented lesion.

Abstract: A system for displaying a plurality of registered images is disclosed. A first viewport unit (1) displays a representation of a first image dataset (4) in a first viewport (201). A second viewport unit (2) displays a representation of a second image dataset (5) in a second viewport (202). A position indication unit (7) enables a user to indicate a position in the first dataset (4) displayed in the first viewport (201), to obtain a user-indicated position. A corresponding position determining unit (8) determines a position in the second image dataset (5) corresponding to the user-indicated position, to obtain a corresponding position in the second image dataset (5), based on correspondence information (9) mapping positions in the first image dataset (4) to corresponding positions in the second image dataset (5). The second viewport unit (2) displays an indication of the corresponding position in the second viewport (202).

Abstract: A method includes executing, via a data analyzer (122), computer executable instructions that select, without user interaction, a processing protocol (212) from an electronic repository (210) of protocols based on imaging data and non-imaging data corresponding to the patient, processing, via the data analyzer (122), functional imaging data for a subject with the selected processing protocol (212) under a first processing mode, and performing a plausibility check on the processed data.

Abstract: Image processing apparatus (100) for creating an overlaid presentation of a first input image (101) and a second input image (102) in an output image (108), the first input image comprising input values, the output image comprising vectors of output values, the vectors of output values representing colors of the output image, and the apparatus comprising an input (110) for obtaining the first input put image and the second input image, a rendering unit (140) configured for rendering the first input image in the output image by using a first mapping function for representing the input values in the vectors of output values, a predictor (120) configured for predicting the second input image from the first input image for obtaining a predicted second input image (104), a residual calculator (130) configured for calculating a residual image (106) from the second input image and the predicted second input image, the residual image comprising residual values representing prediction errors of the predicted second in

Abstract: Image processing apparatus 110 comprising a processor 120 for combining a time-series of three-dimensional [3D] images into a single 3D image using an encoding function, the encoding function being arranged for encoding, in voxels of the single 3D image, a change over time in respective co-located voxels of the time-series of 3D images, an input 130 for obtaining a first and second time-series of 3D images 132 for generating, using the processor, a respective first and second 3D image 122, and a renderer 140 for rendering, from a common viewpoint 154, the first and the second 3D image 122 in an output image 162 for enabling comparative display of the change over time of the first and the second time-series of 3D images.

Abstract: A system for displaying lung ventilation information, the system comprising an input (12) and a processing unit (15). The input being provided for receiving multiple CT images (71) of a lung, each CT image (71) corresponding to one phase of at least two different phases in a respiratory cycle. The processing unit (15) being configured to compare CT images (71) corresponding to different phases in the respiratory cycle for determining a deformation vector field for each phase, to generate for each phase a ventilation image (72) based on the corresponding deformation vector field, to spatially align the ventilation images (72), and to generate for at least one common position (62) in each one of the aligned ventilation images (72), a function (81) of a time course of a ventilation value for said common position (62), each ventilation value in the function (81) being based on the deformation vector fields corresponding to the aligned ventilation images (73).

Abstract: The invention relates to automatically adjusting an acquisition protocol for dynamic medical imaging, such as dynamic CT, MRI or PET imaging. The protocols are adjusted based on anatomic and dynamic models (10, 12, 14) which are individualized or fitted to each patient based on a scout scan (6, 8). The adjustment can compensate for changes in the patient due to patient motion (e.g. breathing or heartbeat) or flow of contrast or tracing agent during the sequence. This ensures that changes in the reconstructed images are indicative of pathological changes in the patient and not caused by patient motion or changes in scanning parameters or timing. The dynamic model can be a motion model (12) used to predict the motion of anatomic/physiologic features, typically organs, during scanning, or a haemodynamic model (14) used to predict flow of the contrast agent allowing for precise timing of the scanning sequence.

Abstract: A system for generating a slicing scheme for slicing a specimen is disclosed. A parameter unit (1) is arranged for determining at least one parameter of a lesion in a specimen, based on an image dataset (14) representing at least part of the specimen. A slicing scheme unit (2) is arranged for determining a slicing scheme (15) for pathologic examination of the specimen, based on the at least one parameter. A specimen preparation unit (3) is arranged for determining a slicing preparation protocol, based on the image dataset, wherein the slicing preparation protocol comprises a representation of preparation steps relating to the specimen. A segmentation unit (5) is arranged for segmenting the lesion in the image dataset (14), wherein the parameter unit (1) is arranged for determining the at least one parameter, based on the segmented lesion.

Abstract: A system for displaying a set of interrelated objects comprises an initializer (1) for identifying a plurality of interrelated objects, a first information filter (2) for selecting a first subset of the plurality of interrelated objects for display based on a first information filter setting, a first displayer (3) for displaying the first subset of the plurality of interrelated objects on a first display area, a user interface (7) for enabling a user to select a region of the first display area for enlargement by visually indicating the region in the first display area, wherein the user can select the region independently of locations of the displayed objects in the first display area, a second information filter (4) for selecting a second subset of the plurality of interrelated objects for display based on a second information filter setting, wherein the second information filter is arranged for selecting objects corresponding to the selected region with an increased level of information detail compared to t

Abstract: Image processing apparatus (100) for creating an overlaid presentation of a first input image (101) and a second input image (102) in an output image (108), the first input image comprising input values, the output image comprising vectors of output values, the vectors of output values representing colors of the output image, and the apparatus comprising an input (110) for obtaining the first input put image and the second input image, a rendering unit (140) configured for rendering the first input image in the output image by using a first mapping function for representing the input values in the vectors of output values, a predictor (120) configured for predicting the second input image from the first input image for obtaining a predicted second input image (104), a residual calculator (130) configured for calculating a residual image (106) from the second input image and the predicted second input image, the residual image comprising residual values representing prediction errors of the predicted second in

Abstract: A method and a device for analyzing a region of interest in an object is proposed. The method comprises: (a) providing measurement data by a differential phase contrast X-ray imaging system, and (b) analyzing characteristics of the object in the region of interest. Therein, the measurement data comprise a 2-dimensional or 3-dimensional set of pixels wherein for each pixel the measurement data comprises three types of image data spatially aligned with each other, including (i) absorption representing image data A, (ii) differential phase contrast representing image data D, and (iii) coherence representing image data C. The analyzing step is based, for each pixel, on a combination of at least two of information comprised in the absorption representing image data A and information comprised in the differential phase contrast representing image data D and information comprised in the coherence representing image data C.

Abstract: A system for handling a specimen image is disclosed. An image input (1) is configured to receive a body image representing at least a portion of a living body and a specimen image representing a dissected portion of the living body. An alignment unit (2) is configured to compute an alignment of the specimen image with the body image, based on image content of the specimen image and/or the body image. A border detector (3) is operatively connected to the alignment unit (2) and configured to detect at least part of an outer border of the dissected portion in the specimen image.

Abstract: The invention relates to a system (100) for mapping a patient data structure (PD) for describing a patient's case into a guideline data structure (GD) for describing a medical guideline, the system comprising storage (170) for storing: a plurality of data items (DI1; DI2; . . . ; DI99); the patient data structure (PD) comprising data items (DI1; DI3; DI5; DI27; DI47, DI67, DI74) of the plurality of data items (DI1; DI2; . . .

Abstract: An oncology monitoring system comprises: an image analysis module (42, 44) configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (10). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B0, B1 B2, B3, B4, B5, B21, B211, B22, B221, B222, B223, B23, B231, B232) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B211) responsive to selection of the graphical block by a user.

Abstract: A method includes executing, via a data analyzer (122), computer executable instructions that select, without user interaction, a processing protocol (212) from an electronic repository (210) of protocols based on imaging data and non-imaging data corresponding to the patient, processing, via the data analyzer (122), functional imaging data for a subject with the selected processing protocol (212) under a first processing mode, and performing a plausibility check on the processed data.