Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Healthineers Ag

Siemens Medical Solutions USA, Inc.

Siemens Aktiengesell Schaft

Biosense Webster, Inc.

Michael Kelm

Michael Wels

Yefeng Zheng

Michael Suehling

Anna Jerebko

Shaohua Kevin Zhou

Dorin Comaniciu

Alexey Tsymbal

Maria Jimena Costa

Martin Huber

Xiang Sean Zhou

Thomas Mertelmeier

Mathias Hoernig

Jingdan Zhang

Sascha Seifert

Bogdan Georgescu

David D Liu

Swen Campagna

Arun Krishnan

Grzegorz Soza

Andreas Meyer

Fernando Vega-Higuera

Dominik Bernhardt

Peng Wang

Olivier Pauly

Wei Wei

Dijia Wu

Florin Cristian Ghesu

Srikrishna Prasad

Alexander Cavallaro

Shiras Abdurahman

Felix Lugauer

Christopher Vincent Alvino

Michael Sühling

Thomas Friese

Matityahu Amit

Helmut König

Ute Rosenbaum

Michael Rommel

Tilo Christ

Sushil Mittal

Benedikt Krueger

Thomas Gossler

Roland Brill

Rüdiger Bertsch

Anthony Jay

Friedrich Hegendoerfer

Moritz Uebler

Alexander Schwing

Guillaume Dumont

Markus Kirchner

Mikhail Limmer

Sven Winkelmann

Daniel Nottebrock

Eric Albrecht

Johann Pongratz

Robert Soellner

Frank Steinmetz

Tobias Hartmann

Amatzia Tov

Srividya Tirunellai Rajamani

Manuel Sujith

Joerg Freund

One or more example embodiments of the present invention relates to a method for generating a data processing pipeline for a cloud computing system, wherein the data processing pipeline comprises at least one software module for execution in at least one execution environment, wherein the execution environment has allocated execution environment information data. The method includes receiving at least one software module selection of a user, receiving at least one input data selection of a user, receiving at least one user planning input, checking a compliance with at least one of data protection requirements or technical requirements of the data processing pipeline, which is to be generated.

Method for generating and executing a data processing pipeline

A gateway and a method are provided for securely storing (and/or securely retrieving) medical data the method for storing comprising at least steps of:

Method for securely storing and retrieving medical data

A method is for inserting a further data block into a first ledger, the first ledger including data blocks. In an embodiment, the method includes receiving a further medical dataset via an interface; determining the further data block via a calculation unit. The further data block includes the further medical dataset and a further link information. The further link information includes a hash of at least one of the data blocks of the first ledger. Finally, in an embodiment the method includes inserting the further data block into the first ledger via the calculation unit.

Inserting a further data block into a first ledger

Various examples of embodiments of the invention generally relate to automating a clinical workflow, the clinical workflow including an analysis of one or more medical datasets and generation of a medical report based on the analysis. For example, machine-learning algorithms may be used for the analysis. The medical report may be generated based on one or more report templates.

Automated clinical workflow

A method for generating a combined contrast medium and blood vessel representation of contrast-enhanced image data of breast tissue to be examined includes capturing first and second contrast-medium-influenced x-ray projection measurement data of the breast tissue with respective differing first and second x-ray energies. First and second image data sets are reconstructed based respectively on the first and second measurement data. A dual-energy image data set is ascertained based on the first and the second image data sets. A blood vessel image is ascertained based on at least one image data set. A blood vessel image is represented together with the dual-energy image data set in a combined contrast medium and blood vessel representation. An image data generating system is also provided.

Method and image data system for generating a combined contrast medium and blood vessel representation of breast tissue to be examined, computer program product and computer-readable medium

A method image scans a female breast in the context of projective digital mammography or tomosynthesis with prefiltered x-ray radiation. From a single scanning two spatially superimposing images are created on the basis of pixel-by-pixel or pixel-group-by-pixel-group different x-ray energy spectra. An x-ray mammography system contains a radiator-detector system having an x-ray tube with a filter for generating a prefiltered x-ray radiation having a first radiation spectrum and a radiation detector containing a multiplicity of partial areas which generate individual image pixels. The radiator-detector system is configured to the effect that the partial areas receive pixel-by-pixel or pixel-group-by-pixel-group different radiation spectra, such that the two images from different x-ray spectra are received with a single scanning of the female breast. Ideally, the detector is a pixilated x-ray detector with a converting sensor layer that is divided into at least two sets of partial areas, the sets having different thicknesses.

Method and device for the imaging scanning of a female breast in the context of digital projective mammography or tomosynthesis

An operating method assists a diagnosing practitioner with describing the location of a target structure in a tomosynthesis image data record of a compressed breast of a patient. The target structure is localized by a first spatial information item. The method includes: a) ascertaining a first shape information item describing at least one first, compressed breast shape in the tomosynthesis image data record, b) determining a second shape information item describing the breast in a non-compressed breast shape, from the first shape information item, c) mapping the position of the target structure from the compressed breast shape and to the non-compressed breast shape using at least the second shape information item for ascertaining a second spatial information item relating to the non-compressed breast shape, and d) transforming the second spatial information item into a pictogram information item facilitating an abstracted pictorial representation and/or describing the latter.

Method and apparatuses for assisting a diagnosing practitioner with describing the location of a target structure in a breast

A method for generating a combined projection image from a medical inspection object, includes steps of capturing a set of initial projection images; reconstructing a first and a second three-dimensional volume from the set of initial projection images; generating a first re-projection image from the first three-dimensional volume and a second re-projection image from the second three-dimensional volume; weighting the first re-projection image and the second re-projection image; and combining the weighted first re-projection image and second re-projection image for generating the combined projection image.

Method for generating a combined projection image and imaging device

A method for generating a synthetic two-dimensional mammogram with enhanced contrast for structures of interest includes acquiring a three-dimensional digital breast tomosynthesis volume having a plurality of voxels. A three-dimensional relevance map that encodes for the voxels the relevance of the underlying structure for a diagnosis is generated. A synthetic two-dimensional mammogram is calculated based on the three-dimensional digital breast tomosynthesis volume and the three-dimensional relevance map.

Generating a synthetic two-dimensional mammogram

A periodic time-varying model of a guide wire, other device, or vessel is created from higher contrast CINE acquisition. A multivariate curve regression is used for periodic, phase dependent motion modeling. This model is then used to locate or track the guide wire, other device or vessel in lower contrast fluoroscopy images during intervention.

Regression for periodic phase-dependent modeling in angiography

A pair of medical images is analyzed, the pair including a first image, which is a contrasted scan of a part in a human or animal body, and a second image, which is a native scan of the same part of the human or animal body. Anatomic structures are identified within both the first image and the second image. By using those anatomic structures, centerlines of vessels in the first image are mapped to the second image. Candidate calcified plaques are extracted in the second image, and calcified plaques out of the candidate calcified plaques are identified by a machine learning classifier. The positional information of the centerlines in the second image is used for extracting the candidate calcified plaques in the second image and/or for identifying the calcified plaques out of the candidate calcified plaques by the machine learning classifier.

Computer-aided analysis of medical images

A method of assigning first localization data of a breast of a patient derived from first image data of the breast, the first image data being the result of a first radiological data acquisition process, to second localization data of the same breast derived from second image data, the second image data being the result of a second radiological data acquisition process, or vice versa. Thereby, the first localization data are assigned to the second localization data by intermediately mapping them into breast model data representing a patient-specific breast shape of the patient and then onto the second image data&#x2014;or vice versa, thereby deriving assignment data. An assignment system performs the above-described method.

Imaging device, assignment system and method for assignment of localization data

A method for generating a projection image from tomographic images first captures (S) a number of stacked two-dimensional tomographic images representing a tomographic volume. The pixels of the stacked two-dimensional tomographic images are weighted (S) along a number of projection beams through the tomographic volume with weighting factors that are chosen under the constraint that the sum of all squared weighting factors for each individual projection beam is between a given lower limit and a given upper limit. Then the weighted pixels are summed up (S) along the number of projection beams for generating the two-dimensional projection image.

Method and apparatus for projection image generation from tomographic images

A method and system for the diagnosis of 3D images are disclosed, which significantly cuts the time required for the diagnosis. The 3D images are for example an image volume dataset of a magnetic resonance tomography system which is saved in an RIS or PACS system. In at least one embodiment, the diagnostic finding are partially automatically generated, and details of the position, size and change in pathological structures are compared to previous diagnostic findings are generated automatically. As a result of this automation the diagnostic work of radiologists is significantly reduced.

Computer-aided evaluation of an image dataset

A method is disclosed for segmentation of a calcified blood vessel in image data. An embodiment of the method includes providing a vesseltree representation of the blood vessel; providing a number of preliminary boundary representations of a number of cross-sections of the blood vessel; providing a number of intensity profiles in the image data in the number of cross-sections; determining a calcification in the cross-section based on the intensity profile; and correcting each preliminary boundary representation into a corrected boundary representation which excludes the calcification from an inner part of the blood vessel. A segmentation system is also disclosed.

Segmentation of a calcified blood vessel

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Erlangen, Germany

Michael Kelm