Abstract: A method for inferring a justification for a further medical test, including: calculating a first value of confidence of medical decision by comparing data from a subject with corresponding data of subjects from a reference database, if the first value of confidence of medical decision is smaller than a first cutoff, which defines the minimum acceptable confidence value for making a medical decision, the following steps are performed: simulating at least one value indicative on one medical condition for the further medical test, wherein said at least one value represents typical value for said medical condition, and augmenting the data from a subject with said at least one simulated value from said one medical condition, and calculating a second value of confidence of medical decision by comparing said augmented data from a subject with corresponding data of subjects from the reference database. The disclosed embodiments further relate to a computer program product and device performing the method.

Abstract: Motion artefact reduction for penetrating imaging comprises: obtaining (2-02) a sequence of captured images, each associated with an imaging angle (?); applying an initial reconstruction (2-04) on captured images, thereby creating an initial reconstructed volumetric image; simulating projections (2-14) of the initial reconstructed volumetric image by varying spatial transformations, thereby generating simulated image sets from the initial reconstructed volumetric image, each set having a common imaging angle, wherein the simulated images within each set differ by different spatial transformations; for each set, determining (2-16) the image having a best fit with the image associated with the common imaging angle; and applying a second reconstruction (2-22) on the spatially transformed versions of the captured images, thereby creating a transformation-corrected reconstructed volumetric image.

Abstract: The present disclosure relates to a method, apparatus, system and computer program for inferring a system state over time. Biomedical measurement data is obtained, wherein the data relate to at least one indicator of a system of interest and includes at least two indicator values being indicative of the state of the system of interest and the indicator values are measured at different time points. At least one measure of goodness for the indicator is formed by using values of the indicator of at least one control state and at least one comparison state. Difference values are formed for at least two indicator values with reference to the control and comparison states, and using the at least two difference values a change in value of said indicator is displayed with a progress indicator so that the change over time can be used in inferring the system state. The progress indicator has at least one dimension depending on the value of the at least one measure of goodness.

Abstract: The present disclosure relates to a method, apparatus, system and computer program for inferring a system state over time. Biomedical measurement data is obtained, wherein the data relate to at least one indicator of a system of interest and includes at least two indicator values being indicative of the state of the system of interest and the indicator values are measured at different time points. At least one measure of goodness for the indicator is formed by using values of the indicator of at least one control state and at least one comparison state. Difference values are formed for at least two indicator values with reference to the control and comparison states, and using the at least two difference values a change in value of said indicator is displayed with a progress indicator so that the change over time can be used in inferring the system state. The progress indicator has at least one dimension depending on the value of the at least one measure of goodness.

Abstract: The invention relates to inferring the state of a system of interest having a plurality of indicator values and possibly being heterogeneous in nature. A number of indicator values from a control state and from a comparison state are gathered. From these indicator values, classification power between the control and comparison states (measure of goodness) is computed. Difference values are computed for the indicator values from the system of interest based on the difference to the indicator values from control and comparison states. From a number of these indicators, composite indicators are formed, and composite measures of goodness and composite difference values are computed. A plurality of composite indicators may be formed at different levels. These indicators may be represented as a tree and grouped according to content, and at the same time they may be arranged according to the measure of goodness or some other value.

Abstract: The current invention relates to the segmentation of image sets in four dimensions. A method for segmenting image sets comprises steps for defining deformation by at least one control point in a deformation area defined in four dimensions and modifying the content of said deformation area based on said control point, wherein the steps are iterated. The invention also relates to a system, a computer program product and a graphical user interface.

Abstract: A method for processing slice images wherein information indicative of at least one quantitative measure is formed from image sets. The image sets are acquired from at least two imaging directions. At least two of the image sets relating to the imaging directions are used for forming the information. A method for reducing misalignments, a module, a system and a computer program product for implementing the method.

Abstract: An apparatus, and a method, comprising: computing a measure of goodness for each of at least two dimensions of a system linked to a first state of the system and a second state of the system; computing a weighting for each of at least two dimensions linked to a studied system, the weightings describing the differences of said at least two dimensions in relation to said first state and said second state; and inferring the state of the studied system based on said measures of goodness and said weightings.

Abstract: An apparatus, and a method, comprising: computing a measure of goodness for each of at least two dimensions of a system linked to a first state of the system and a second state of the system; computing a weighting for each of at least two dimensions linked to a studied system, the weightings describing the differences of said at least two dimensions in relation to said first state and said second state; and inferring the state of the studied system based on said measures of goodness and said weightings

Abstract: The current invention relates to the segmentation of image sets in four dimensions. A method for segmenting image sets comprises steps for defining deformation by at least one control point in a deformation area defined in four dimensions and modifying the content of said deformation area based on said control point, wherein the steps are iterated. The invention also relates to a system, a computer program product and a graphical user interface.

Abstract: A method for processing slice images wherein information indicative of at least one quantitative measure is formed from image sets. The image sets are acquired from at least two imaging directions. At least two of the image sets relating to the imaging directions are used for forming the information. A method for reducing misalignments, a module, a system and a computer program product for implementing the method.

Abstract: The invention concerns a method and an apparatus for monitoring a condition of a patient under anesthesia or sedation. For this purpose there is a sensor for acquiring a signal that represents peripheral cardiovascular flow in the patient. Successive heart beat pulses are detected and predetermined pulse wave parameters are measured repeatedly in said signal, and predefined pulse wave parameters within said heart beat pulses are measured, too. At first, said predetermined pulse wave parameters in a number of successive heart beat pulses are compared in respect to possible occurrence of a substantial alteration. At second, if the alteration is noticed, a statistical reference value is calculated by deriving values from at least said predefined pulse wave parameters, and the change(s) between at least one predefined pulse wave parameter and said reference value is quantified. The results and/or intermediate results are finally displayed and/or recorded.