Abstract: An ablation system includes a retractable sheath including a lumen; a first electrode in the lumen; a pre-bent telescopic tube extendable from the lumen and including a second electrode, wherein the first electrode and the second electrode are configured to deliver an electric field energy to target tissue in a patient.

Abstract: In accordance with a method for characterization of particles in a fluid-filled hollow structure, an ultrasound signal with a frequency spectrum, which exhibits a local maximum at a variable measurement frequency, is emitted in the direction of a part area of the hollow structure and reflected components are detected. The measurement frequency is tuned in a predetermined measurement interval, and depending on the detected reflected components, a spectral response curve is acquired as a function of the measurement frequency. Depending on the response curve, at least one characteristic property for a part of the particles located in the part area of the hollow structure is determined. The characteristic property includes a measure for an adhesion of the particles of the part of the particles located in the part area of the hollow structure.

Abstract: Disclosed are methods of predicting a radiotherapy success in a method of treating a lung cancer of a patient, the use of specific markers for predicting a radiotherapy success in a method of treating a lung cancer of a patient, a database comprising the markers, and a computer program product for use in such a method.

Abstract: A treatment planning apparatus includes a treatment modeler. The treatment modeler uses models of a plurality of treatment modalities in a treatment space to generate a treatment protocol that includes one or more the modalities in the treatment space. In one implementation, a treatment modality includes the removal of targeted treatment agents from an object.

Abstract: Method and systems are provided for automatically generating a volume model of correction data for an X-ray based medical imaging device. A plurality of X-ray images is recorded of a body region of a patient to be examined from different positions in each case. The plurality of X-ray images is used to generate a first volume model of the body region. Image artifacts are corrected in the first volume model using the plurality of X-ray images and thus a corrected volume model is generated. The corrected volume model is used to determine a contour of an artifact volume affected by image artifacts in the first volume model and the contour of the artifact volume is defined as a volume model of correction data. The volume model of correction data is stored on a data medium and/or output via an interface.

Abstract: A therapy system includes a diagnostic image scanner (12) that acquires a diagnostic image of a target region to be treated. A planning processor (70) is configured to generate a patient specific adaptive radiation therapy plan based on patient specific biomarkers before and during therapy. A first set of patient specific biomarkers is determined then used for the determination of a first normal tissue complication probability (NTCP) model and a first tumor control probability (TCP) model. A radiation therapy device (40) administers a first dose of radiation to the target region with a protocol based on the first NTCP model and the first TCP model. A second set of patient specific biomarkers is determined. A relationship between the first set and second set of patient specific biomarkers is used to determine a second NTCP model and a second TCP model.

Abstract: When estimating an arterial input function or a patient under study, cross-calibration factors are generated by comparing nuclear scan data of a radioactive material (e.g., F18) and measuring a sample of the radioactive material in a gamma counter. The derived cross-calibration factors are applied to venous samples collected from the patient during a nuclear scan after infusion with a radioactive tracer, to convert gamma values counted by the gamma counter into concentration values. The concentration values are used to optimize an initial estimated input function, thereby generating an arterialized input function.

Abstract: A method is disclosed for displaying image data of body regions of a patient using a medical imaging system including a first imaging apparatus and a positron emission tomography apparatus, the body regions being prone to dementia. The method includes provision of first image data recorded using the first imaging apparatus; provision of second image data recorded using the positron emission tomography apparatus, the first image data and the second image data being recorded simultaneously or at short intervals of time consecutively; segmentation of the first image data in respect of body regions prone to dementia, a segmentation mask being generated to this end on the basis of the first image data; generation of results data, the results data including a selection of voxels in the second image data made using the segmentation mask; and display of the results data.

Abstract: A method includes generating a kinetic parameter value for a VOI in a functional image of a subject based on motion corrected projection data using an iterative algorithm, including determining a motion correction for projection data corresponding to the VOI based on the VOI, motion correcting the projection data corresponding to the VOI to generate the motion corrected projection data, and estimating the at least one kinetic parameter value based on the motion corrected projection data or image data generated with the motion corrected projection data. In another embodiment, a method includes registering functional image data indicative of tracer uptake in a scanned patient with image data from a different imaging modality, identifying a VOI in the image based on the registered images, generating at least one kinetic parameter for the VOI, and generating a feature vector including the at least one generated kinetic parameter and at least one bio-marker.

Abstract: A treatment planning apparatus includes a treatment modeler. The treatment modeler uses models of a plurality of treatment modalities in a treatment space to generate a treatment protocol that includes one or more the modalities in the treatment space. In one implementation, a treatment modality includes the removal of targeted treatment agents from an object.

Abstract: A system and method for planning a necrosis-inducing therapy and subsequent administration of a necrosis-targeting agent are described. The system takes into account the effect of necrosis-induction therapy as a basis for the biodistribution estimate of the necrosis-targeting agent. This interaction between the different calculation steps is essential for an accurate planning result. A computer-readable medium and use are also provided.

Abstract: A treatment planning apparatus (100) includes a treatment modeler (102). The treatment (104) modeler uses models (1121-N) of a plurality of treatment modalities in a treatment space (104) to generate a treatment protocol (110) that includes one or more the modalities in the treatment space. In one implementation, a treatment modality includes the removal of targeted treatment agents from an object.

Abstract: When estimating an arterial input function or a patient under study, cross-calibration factors are generated by comparing nuclear scan data of a radioactive material (e.g., F18) and measuring a sample of the radioactive material in a gamma counter. The derived cross-calibration factors are applied to venous samples collected from the patient during a nuclear scan after infusion with a radioactive tracer, to convert gamma values counted by the gamma counter into concentration values. The concentration values are used to optimize an initial estimated input function, thereby generating an arterialized input function.

Abstract: A radiological imaging method comprises: acquiring radiological lines of response (LOR's) from a subject; grouping the acquired LOR's into time intervals such that each group of LOR's (20) was acquired during a selected time interval; identifying a region of interest (60, 74) for each time interval based on LOR's grouped into that time interval; for each time interval, determining a positional characteristic (102) of the region of interest identified for that time interval based on LOR's grouped into that time interval; for each time interval, spatially adjusting LOR's grouped into that time interval based on the positional characteristic of the region of interest identified for that time interval; and reconstructing at least the spatially adjusted LOR's to generate a motion compensated reconstructed image.

Abstract: An apparatus, method, system, computer-readable medium and use for individual patient therapy planning of diseases such as cancer for different therapy modalities, such as radiation therapy and chemotherapy is provided. A new aspect of the invention is that the degree of bone marrow depression of the patient is related to the count of immature blood platelets, which are measured before each treatment. Some embodiments of the invention provide an advantage allowing reducing the level of uncertainty in the prediction of the risk of bone marrow depression, and thus enabling to safely improve the therapy effect by an increase of the radiation dosage and/or chemical dosage to the individual patient while the risk for bone marrow depression is minimized.

Abstract: A therapy system includes a diagnostic image scanner (12) that acquires a diagnostic image of a target region to be treated. A planning processor (70) is configured to generate a patient specific adaptive radiation therapy plan based on patient specific biomarkers before and during therapy. A first set of patient specific biomarkers is determined then used for the determination of a first normal tissue complication probability (NTCP) model and a first tumor control probability (TCP) model. A radiation therapy device (40) administers a first dose of radiation to the target region with a protocol based on the first NTCP model and the first TCP model. A second set of patient specific biomarkers is determined. A relationship between the first set and second set of patient specific biomarkers is used to determine a second NTCP model and a second TCP model.

Abstract: A method includes generating a kinetic parameter value for a VOI in a functional image of a subject based on motion corrected projection data using an iterative algorithm, including determining a motion correction for projection data corresponding to the VOI based on the VOI, motion correcting the projection data corresponding to the VOI to generate the motion corrected projection data, and estimating the at least one kinetic parameter value based on the motion corrected projection data or image data generated with the motion corrected projection data. In another embodiment, a method includes registering functional image data indicative of tracer uptake in a scanned patient with image data from a different imaging modality, identifying a VOI in the image based on the registered images, generating at least one kinetic parameter for the VOI, and generating a feature vector including the at least one generated kinetic parameter and at least one bio- marker.

Abstract: A radiological imaging method comprises: acquiring radiological lines of response (LOR's) from a subject; grouping the acquired LOR's into time intervals such that each group of LOR's (20) was acquired during a selected time interval; identifying a region of interest (60, 74) for each time interval based on LOR's grouped into that time interval; for each time interval, determining a positional characteristic (102) of the region of interest identified for that time interval based on LOR's grouped into that time interval; for each time interval, spatially adjusting LOR's grouped into that time interval based on the positional characteristic of the region of interest identified for that time interval; and reconstructing at least the spatially adjusted LOR's to generate a motion compensated reconstructed image.

Abstract: A treatment planning apparatus (100) includes a treatment modeler (102). The treatment (104) modeler uses models (1121-N) of a plurality of treatment modalities in a treatment space (104) to generate a treatment protocol (110) that includes one or more the modalities in the treatment space. In one implementation, a treatment modality includes the removal of targeted treatment agents from an object.

Abstract: This invention relates to a system for determining a biodistribution of radioactive agents in a subject. According to the invention, a detector system comprising two or more detectors arranged to be attached to the subject at localized areas is used for detecting the radiation emitted from the imaging agents at localized tissues within the subject. The measuring results in separate radiation data sets associated to the tissues. The detectors are further being arranged to adapt the measuring rate to the pharmacokinetic behavior of the tissues in order to capture all relevant data points. A processor then uses the data sets for determining the radioactivity within each respective tissue and based thereon the biodistribution within the subject.