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 a respiratory motion determination apparatus for determining respiratory motion of a living being (3). A raw data providing unit (2) provides raw data assigned to different times, wherein the raw data are indicative of a structure like the apex of the heart muscle, which is influenced by cardiac motion and by respiratory motion, and a reconstruction unit (6) reconstructs intermediate images of the structure from the provided raw data. A structure detection unit (7) detects the structure in the reconstructed intermediate images, and a respiratory motion determination unit (10) determines the respiratory motion of the living being based on the structure detected in the reconstructed intermediate images. This allows determining respiratory motion with high accuracy, without relying on, for example, a stable correlation between a tracking signal of an external respiratory gating device and respiratory phases.

Abstract: A method includes performing a motion compensated reconstruction of functional projection data using a patient-adapted motion model, which is generated based on a generic anatomical motion model and imaging data from a structural scan. A system includes a first adapter (202) configured to adapt a generic anatomical model to structural image data, producing an adapted model, a forward projector (204) configured to forward project the adapted model, producing forward projected data, and a second adapter (206) configured to adapt the forward projected data to individual projections of projected data, which is used to generate the structural image data, producing a patient-adapted motion model.

Abstract: An apparatus produces image space data (35) indicative of the spatially varying strength of the vascular connections between locations in the image space and a lesion or other feature of interest. The data may be presented by way of a maximum intensity projection (MIP) display in which the brightness of the image represents the strength of the vascular connection.

Abstract: The present invention relates to an apparatus for determining a modification of a size of an object. The apparatus comprises a registration unit (13) for registering with respect to each other a first region of interest in a first image data set showing an object at a first time and a second region of interest in a second image data set showing the object at a second time being different from the first time, wherein the registration unit is adapted to generate a scaling value by performing at least a scaling transformation for registering the first region of interest and the second region of interest with respect to each other. The apparatus further comprises a modification value determination unit (14) for determining a modification value, which indicates the modification of the size of the object, depending on the generated scaling value.

Abstract: A system for validating motion estimation comprising a field unit (110) for obtaining a deformation vector field (DVF) estimating the motion by transforming a first image at a first phase of the motion into a second image at a second phase of the motion, a metric unit (120) for computing a metric of a local volume change at a plurality of locations, and a conformity unit (130) for computing a conformity measure based on the computed metric of the local volume change at the plurality of locations and a local property of the first or second image defined at the plurality of locations. Based on the value of the conformity measure, the DFV estimating the motion is validated. Experiments show that the conformity measure based on the computed metric of a local volume change at a plurality of locations and the local property of the first or second image, defined at the plurality of locations, does not necessarily favor a large weight for the outer force to provide a more accurate registration.

Abstract: A method for reformatting image data includes obtaining volumetric image data indicative of an anatomical structure of interest, identifying a surface of interest of the anatomical structure of interest in the volumetric image data, identifying a thickness for a sub-volume of interest of the volumetric image data, shaping the sub-volume of interest such that at least one of its sides follows the surface of interest, and generating, via a processor, a maximum intensity projection (MIP) or direct volume rendering (DVR) based on the identified surface of interest and the shaped sub-volume of interest.

Abstract: A method includes reconstructing the projection data based on a reconstruction algorithm that compensates for both motion and tissue density changes of the moving organ across different motion phases, thereby generating motion and density compensated image data. A data compensator includes a reconstructor that reconstructs motion compensated image data based on an reconstruction algorithm that compensates for tissue density changes in a moving object.

Abstract: The invention relates to a visualization apparatus (1) for visualizing an image data set. The visualization apparatus (1) comprises an image data set providing unit (2) for providing the image data set, a differential property determination unit (5) for determining local differential properties for different regions of the image data set, an assigning unit (6) for assigning visualization properties to the different regions of the image data set depending on the determined local differential properties, wherein a visualization property defines the visualization of a region, to which the visualization property is assigned, and a display unit (7) for displaying the visualization properties assigned to the different regions of the image data set. By displaying the visualization properties assigned to the different regions of the image data set different objects can visually be separated from each other without requiring large computational costs.

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 present invention relates to an apparatus for determining a modification of a size of an object. The apparatus comprises a registration unit (13) for registering with respect to each other a first region of interest in a first image data set showing an object at a first time and a second region of interest in a second image data set showing the object at a second time being different from the first time, wherein the registration unit is adapted to generate a scaling value by performing at least a scaling transformation for registering the first region of interest and the second region of interest with respect to each other. The apparatus further comprises a modification value determination unit (14) for determining a modification value, which indicates the modification of the size of the object, depending on the generated scaling value.

Abstract: A therapy treatment response simulator includes a modeler (202) that generates a model of a structure of an object or subject based on information about the object or subject and a predictor (204) that generates a prediction indicative of how the structure is likely to respond to treatment based on the model and a therapy treatment plan. In another aspect, a system includes performing a patient state determining in silico simulation for a patient using a candidate set of parameters corresponding to another patient and producing a first signal indicative of a predicted state of the patient, and generating a second signal indicative of whether the candidate set of parameters are suitable for the patient based on a known state of the patient.

Abstract: An apparatus produces image space data (35) indicative of the spatially varying strength of the vascular connections between locations in the image space and a lesion or other feature of interest. The data may be presented by way of a maximum intensity projection (MIP) display in which the brightness of the image represents the strength of the vascular connection.

Abstract: A method includes registering a first sub-portion of a first image with a corresponding second sub-portion of a second image, and registering the second sub-portion of the second image with a corresponding third sub-portion of the first image. The first sub-portion encompasses a first object of interest, and the third sub-portion encompasses a third object of interest. The method further includes reducing a size of the first sub-portion when the first and third objects of interest are substantially similar. The method further includes repeating the steps of registering the first sub-portion, registering the second sub-portion, and reducing the size of the first sub-portion until the first and third objects are not substantially similar.

Abstract: A patient data record is described comprising a mean model representative of the patient and further comprises at least one shape model to represent data concerning the patient, in which the said mean model comprises at least one region and the said shape model comprises at least one sub-section, and in which the at least one sub-section of the shape model is linked to the equivalent region of the mean model. This has the advantage of allowing greater structure to the patient record. Further a system is described to present patient data upon queries generated by a user and arranged to access the claimed patient data record, and which is further arranged to provide access to information in the sub-section of the shape model when a query generated by the user accesses the equivalent region of the mean model. This system allows full use of the improved patient data record.