Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Siemens Healthineers Ag

Siemens Corporation

Martin Requardt

Berthold Kiefer

Ali Kamen

Sebastian Schmidt

Arne Hengerer

Martin Ringholz

Clifford R Weiss

Peter Gall

Parmeshwar Khurd

Mamadou Diallo

Elena Nioutsikou

Leo John Grady

Markus Vester

David Grodzki

Shaohua Kevin Zhou

Rainer Alfred Kuth

Patrick Gross

Ralf Nanke

Radhouene Neji

Stefan Assmann

Jens Fehre

Jingdan Zhang

Bernd Schweizer

Diana Martin

Neil Birkbeck

Eva Rothgang

Oliver Schreck

Markus Schmidt

Karlheinz Glaser-Seidnitzer

Wolfgang Wein

Florian Maier

Michael Szimtenings

Markus Petsch

Johannes Kling

Hanns Eder

Günther Platsch

Manuel Schneider

Nora Hünemohr

Michelle Xiao-Hong Yan

Michael Kaus

Kristin Schmiedehausen

Yue M Lu

Christoph Zindel

Kalpitkumar Gajera

Ingo Schmitjans

A magnetic resonance tomography device and a method for equalized mapping in real time are provided. A first slice and a second slice are captured in three-dimensional (3D) encoding, where the first slice and the second slice are oriented to one another at an angle, and an instrument or trajectory to be mapped lies in an intersecting set of both the first slice and the second slice. A two-dimensional (2D) image may be generated alternately from both the first slice and the second slice and is displayed to a user.

Device and method for real-time 3D distortion correction of magnetic resonance images

A magnetic resonance tomography unit and a method is provided in which a patient couch may be moved in relation to the longitudinal direction into the patient tunnel in the transversal direction into a left-hand side extreme position and an opposite-lying right-hand side extreme position. Using an image acquisition facility in the left-hand side extreme position a right-hand side part is acquired and in the right-hand side extreme position a left-hand side part of the outer contour of the predetermined object is acquired. Using the image acquisition facility, the outer contour of the object is subsequently created from the left-hand side part of the outer contour and also from the right-hand side part of the outer contour.

Determining an outer contour during MR imaging

Systems and methods are provided for determining a synthetic electron density map based on at least one MR image dataset and based on at least one soft tissue image structure and one bone image structure determined in the synthetic electron density map. The soft tissue image structure and the bone image structure may be compared with the corresponding structures in the MR image dataset. From a correction of the first soft tissue image structure and/or of the bone image structure is based on the comparison, a corrected synthetic electron density map is determined.

Method and apparatus for correction of a synthetic electron density map

In a method and system for planning irradiation of a patient for therapy, a first time series acquired from computed tomography scan data of the patient is provided to a processor, as is a second time series acquired from magnetic resonance scan data of the patient. A first parameter that characterizes the first time series is acquired, as is a second parameter that characterizes the second time series. The first time series and the second time series are combined in the processor using the first parameter and the second parameter. An irradiation plan is calculated in the processor using the combined first time series and second time series.

Method for planning irradiation of a patient for radiation therapy

In a computerized method and apparatus to automatically determine an acquisition volume of an examination region for the acquisition of a magnetic resonance data set, at least one magnetic resonance image data set is acquired that at least partially images an examination region, and the magnetic resonance image data set is processed into at least one magnetic resonance image. The examination region is segmented and at least one envelope enclosing a segment is determined. At least one rectangle including the envelope is determined. The acquisition volume is calculated using the rectangle.

Method and magnetic resonance system for automated determination of an acquisition volume related to an examination region for the acquisition of a magnetic resonance data set

A patient positioning table has a transfer plate that is reversibly transferable from the patient positioning table to a table associated with an imaging modality, and a headrest-forming extension component having a fastening section and a supporting section is provided, which can be detachably fastened to fastening devices provided on the transfer plate in exchange for a framework-like head immobilizing fixture, which can be detachably fastened to the same fastening devices.

Patient positioning table having a transfer plate

In a method for image guided prostate cancer needle biopsy, a first registration is performed to match a first image of a prostate to a second image of the prostate. Third images of the prostate are acquired and compounded into a three-dimensional (3D) image. The prostate in the compounded 3D image is segmented to show its border. A second registration and then a third registration different from the second registration is performed on distance maps generated from the prostate borders of the first image and the compounded 3D image, wherein the first and second registrations are based on a biomechanical property of the prostate. A region of interest in the first image is mapped to the compounded 3D image or a fourth image of the prostate acquired with the second modality.

System and method for image guided prostate cancer needle biopsy

A method and system for fully automatic segmentation the prostate in magnetic resonance (MR) image data is disclosed. Intensity normalization is performed on an MR image of a patient to adjust for global contrast changes between the MR image and other MR scans and to adjust for intensity variation within the MR image due to an endorectal coil used to acquire the MR image. An initial prostate segmentation in the MR image is obtained by aligning a learned statistical shape model of the prostate to the MR image using marginal space learning (MSL). The initial prostate segmentation is refined using one or more trained boundary classifiers.

Method and system for automatic prostate segmentation in magnetic resonance images

In a method and magnetic resonance device for graphically assisting the navigation of an instrument (in particular a medical instrument such as a needle and/or a guide sleeve guiding a needle) within a procedure region of a target subject (in particular a patient), coordinates of a target position and/or target region to be addressed that are obtained from a high-contrast image data set acquired with the magnetic resonance device. Low-contrast image data showing the instrument are acquired continuously and/or intermittently during the navigation and/or the position and orientation of the instrument is determined (in particular measured) with a position determination device. The low-contrast image later are brought into registration with the magnetic resonance device continuously and/or intermittently during the navigation. A representation showing at least the relative position and orientation of the instrument relative to the target position and/or target region is generated and displayed under consideration of the coordinates and the low-contrast image data and/or the position and orientation of the instrument.

Method and magnetic resonance device for graphically assisting navigation of an instrument

A patient support apparatus is provided. The patient support apparatus has a patient table, a movable support plate for supporting a patient, a guide unit, which is designed to guide the support plate along at least one movement direction of the support plate, and a fastening unit for fastening an auxiliary unit to the support plate. The fastening unit has at least one setting unit for setting the position of the auxiliary unit in relation to the support plate in a flexible manner.

Patient support apparatus and medical imaging apparatus having the patient support apparatus

Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.

Systems and method for automatic prostate localization in MR images using random walker segmentation initialized via boosted classifiers

In a method for the implementation of a medical examination via the user interface of at least one imaging device, parameter values in a group of measurement parameters are determined, and are entered via an input device of the user interface. Spatially resolved image information are generated by the at least one imaging device depending on the group of measurement parameters, and the image information is stored on a storage medium. The image information are presented as a data symbol on a screen of the user interface. In order to present the parameters and dependencies to enable a more efficient work process, each measurement parameter of the group of measurement parameters is respectively presented on the screen in a measurement parameter cell of a matrix with multiple rows and multiple columns. The measurement parameters can be contained at least in part in multiple measurement parameter cells. The presentation size of the multiple columns of the matrix depends on their distance from the pointer symbol on the screen.

Method and user interface for implementation of a medical examination

A method is disclosed for determining attenuation values for PET data of a patient. In at least one embodiment, the method includes detecting at least one accessory of a magnetic resonance imaging scanner and detecting the position and/or alignment of the accessory by way of an imaging measuring method; comparing the detected accessory with data from a database; and assigning an attenuation map, which is contained in the database, to attenuation values of the detected accessory and adapting the attenuation map to the detected position and/or alignment of the accessory.

Method for determining attenuation values for PET data of a patient

A method and system for detecting lymph nodes in multiple complementary magnetic resonance (MR) sequences is disclosed. Anatomical landmarks, such as blood vessels, are extracted in a first MR sequence, such as an MR angiography (MRA) image. A search area is defined in at least one second MR sequence, such as a T1 weighted VIBE image, based on the anatomical landmarks extracted the first MR sequence. Lymph nodes are then detected in the search area of the second MR sequence. The lymph nodes can be detected by segmenting the search area into homogenous regions and determining whether each region is a lymph node using feature analysis.

Method and system for lymph node detection using multiple MR sequences

A computer program product has a check routine and an active part. When the computer program product is called, a computer, while processing the check routine, initiates a transmitter to send a launch signal. A transponder receives this signal, checks whether a time-dependent and/or usage-dependent transmission condition is met and transmits an enable code as warranted. A receiver receives the enable code and communicates it to the computer. The computer checks the enable code and undertakes processing of the active part only when the enable code satisfies an enable condition.

Apparatus, transponder, computer program product and method for enabling an active part of a computer program

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Nürnberg, Germany

Martin Requardt