Abstract: A computer-implemented method is for providing error information in respect of a plurality of individual measurements. The method includes providing the plurality of individual measurements, each assigned to one examination respectively; receiving check information from a user in respect of a cohort of examinations to be checked. For each examination of the cohort, the method includes extracting examination information based upon the individual measurements pertaining to the examination; determining, based upon the examination information, whether one or more incorrect measurements has occurred during the examination and ascertaining examination error information based upon the result. The method also includes compiling the error information based upon the examination error information of the cohort to be checked and providing the error information for a user.

Abstract: A computer-implemented method is for comparing protocols. In an embodiment, the computer-implemented method includes first receipt of a first protocol relating to a performance of a measurement at a first medical device, including a plurality of first protocol steps; and second receipt of a second protocol relating to a performance of a measurement at a second medical device. The computer-implemented method further includes determination of a plurality of arrangements of the first protocol steps; determination of a plurality of comparison values, each of the comparison values being based on a comparison of the second protocol with one of the arrangements of the first protocol steps; determination of an agreement value based upon the plurality of comparison values; and provision of the agreement value.

Abstract: A computer-implemented method is for classifying a body type of at least one person. In an embodiment, the method includes receiving at least one image data record of the respective person, which maps at least one subarea of the person; and ascertaining a body type for the person by an optimization method. A respective person model is used for each of the possible body types, which as a function of at least one person parameter determines an expected person geometry of the person described by the person model. The body type is selected by the optimization method by a similarity measure for the similarity of the image data record or a person geometry ascertained from the image data record being optimized with the expected person geometry by selecting the body type.

Abstract: A computer-implemented method is for comparing protocols. In an embodiment, the computer-implemented method includes first receipt of a first protocol relating to a performance of a measurement at a first medical device, including a plurality of first protocol steps; and second receipt of a second protocol relating to a performance of a measurement at a second medical device. The computer-implemented method further includes determination of a plurality of arrangements of the first protocol steps; determination of a plurality of comparison values, each of the comparison values being based on a comparison of the second protocol with one of the arrangements of the first protocol steps; determination of an agreement value based upon the plurality of comparison values; and provision of the agreement value.

Abstract: A method is for checking a medical image with regard to a processing of the medical image via an image processing module. The method includes providing at least one input requirement of the image processing module relating to at least one image parameter of the medical image; providing the at least one image parameter of the medical image; and checking whether the at least one image parameter fulfills the at least one input requirement.

Abstract: A method and a system are disclosed for image acquisition, in which the protocol for controlling the CT scanner is computed automatically. The system includes a facility, which includes at least one CT scanner; a central PACS system in which image data and assigned metadata are stored as image data information, acquired with the facility; and an analysis unit, in terms of programming technology and/or circuit technology, for analyzing the captured image data information to automatically compute therefrom, the specific operating conditions and the facility-specific protocol parameters for the CT scanner protocol.

Abstract: A method is for checking a medical image with regard to a processing of the medical image via an image processing module. The method includes providing at least one input requirement of the image processing module relating to at least one image parameter of the medical image; providing the at least one image parameter of the medical image; and checking whether the at least one image parameter fulfills the at least one input requirement.

Abstract: A method and a system for monitoring a bolus value are disclosed. The method includes contrast-agent-assisted test recording of a time series of test images of a region under examination, wherein one bolus value is determined in each of the respective test images, together with the change in the bolus values between at least two test images. The method includes regulating the time interval between the recordings of individual test images as a function of the change in the bolus values, thereby enabling the temporal resolution for determining the bolus value to be selected in such a way that it corresponds to the change in the bolus values. In this way the temporal resolution in the monitoring of bolus values is improved with a view to avoiding both too high and too low a recording rate for the test images.

Abstract: A method is disclosed for automatically selecting a scanning protocol for a tomographic recording of an X-ray image of a patient in that at least one patient-specific value is retrieved in the internal memory of a first computer. The patient-specific value can in particular be a measure of the anticipated X-ray absorption by the patient. The method includes automatically comparing the patient-specific value with retrievably stored reference values, wherein one scanning protocol can be associated with each reference value. Finally, a scanning protocol is automatically selected by way of the first computer using the comparison. Selection is simplified by automation of selection of the scanning protocol since no manual selection of the scanning protocol has to be made. Automatic selection of a suitable scanning protocol is also quicker than a manual selection.

Abstract: A method and a system are disclosed for image acquisition, in which the protocol for controlling the CT scanner is computed automatically. The system includes a facility, which includes at least one CT scanner; a central PACS system in which image data and assigned metadata are stored as image data information, acquired with the facility; and an analysis unit, in terms of programming technology and/or circuit technology, for analyzing the captured image data information to automatically compute therefrom, the specific operating conditions and the facility-specific protocol parameters for the CT scanner protocol.

Abstract: An embodiment of a CT system includes a computer unit and at least one memory device for storing program code and projection data records, established during a CT scan and usable for reconstructing CT renderings. The computer unit is connected in a networked system with at least one external diagnosis computer including a memory with program code for diagnosing reconstructed visual CT renderings. A method for reconstructing and diagnosing visual CT renderings is also disclosed. In an embodiment, a request for reconstructing a CT data record with a projection data record stored in the computer unit is received, sent from a diagnosis computer in a diagnosis station, by the computer unit of the CT system via the communications network; the computer unit recognizes this request; the computer unit automatically executes the requested reconstruction and the reconstructed CT rendering is transmitted to the requesting diagnosis computer via the communications network.

Abstract: A method is disclosed for automatically selecting a scanning protocol for a tomographic recording of an X-ray image of a patient in that at least one patient-specific value is retrieved in the internal memory of a first computer. The patient-specific value can in particular be a measure of the anticipated X-ray absorption by the patient. The method includes automatically comparing the patient-specific value with retrievably stored reference values, wherein one scanning protocol can be associated with each reference value. Finally, a scanning protocol is automatically selected by way of the first computer using the comparison. Selection is simplified by automation of selection of the scanning protocol since no manual selection of the scanning protocol has to be made. Automatic selection of a suitable scanning protocol is also quicker than a manual selection.

Abstract: A method and a system for monitoring a bolus value are disclosed. The method includes contrast-agent-assisted test recording of a time series of test images of a region under examination, wherein one bolus value is determined in each of the respective test images, together with the change in the bolus values between at least two test images. The method includes regulating the time interval between the recordings of individual test images as a function of the change in the bolus values, thereby enabling the temporal resolution for determining the bolus value to be selected in such a way that it corresponds to the change in the bolus values. In this way the temporal resolution in the monitoring of bolus values is improved with a view to avoiding both too high and too low a recording rate for the test images.

Abstract: A method and an apparatus for interactive image reconstruction, in particular in computed tomography are disclosed. The method for interactive image reconstruction by calculating tomographic slice images from X-ray projection data is distinguished by the fact that only those grayscale images which the user wants visualized at a given time are calculated with the aid of a computer.

Abstract: An recumbent bicycle or tricycle, FIG. 1B, having an electric assist module mounted between the pedal mechanism and rear wheel gear mechanism. This mounting position allows the assist module to take advantage of the bicycle or tricycle's rear wheel gears to increase performance with the secondary advantage of reducing the length of the chain driving the rear wheel gears resulting in improved shifting.

Abstract: The following specification describes a method together with portable apparatus for forming on site test dummies of stacks of business forms to provide a facsimile of actual conditions under which the paper is imprinted. This is done by simultaneously manually perforating and crimping a stack of paper containing a desired number and type then aligning a plurality of serially arranged stacks in a web by means of a splicing jig to enable the simulation of an actual run. The portable apparatus includes a plate carrying perforating and crimping dies and punches together with the splicing jig. The punches are operated by a cam having a continuous surface engaged with a punch holder. The punches protrude from the holder by different distances so that they pierce the paper at different times to reduce the manual force required for operation.