Siemens Healthcare Gmbh

Siemens Aktiengesellschaft

Peter Gall

Andreas Greiser

Berthold Kiefer

Dominik Paul

Shaohua Kevin Zhou

Martin Requardt

Felix Wolf

Dorin Comaniciu

Leo John Grady

Ali Kamen

David D Liu

Stephan Zink

Roman Achleitner

Jingdan Zhang

Martin Harder

Heiko Meyer

Neil Birkbeck

Eva Rothgang

Andre De Oliveira

Daniel Nico Splitthoff

Clifford R Weiss

Parmeshwar Khurd

Mamadou Diallo

Steffen Schröter

Jens Thoene

Jens Thöne

Kalpitkumar Gajera

Sebastian Bulach

A magnetic resonance apparatus has a scanner that has a patient receiving area, a position data acquisition unit, and a patient examination table of a patient positioning device. The table is movable within the patient receiving area. The position data acquisition unit detects a subarea, including an isocenter, of the patient receiving area, and provides position data to a speed regulating processor that regulates the speed of the table of patient positioning device depending on this position data.

Magnetic resonance apparatus and method for positioning an object on a patient positioning device within an isocenter of a magnetic resonance scanner

In a method for providing a selection of at least one protocol parameter from a plurality of protocol parameters for a user-defined protocol parameter setting of at least one magnetic resonance protocol for a magnetic resonance examination on a patient using a magnetic resonance device, a selection mode and a setting mode can be performed. In the selection mode, stored user-dependent parameter information can be provided and a selection of the at least one protocol parameter for a protocol parameter setting can be determined based on the stored user-dependent parameter information. In the setting mode, the determined selection of the at least one protocol parameter can be provided to the user via a user interface.

Method for providing a selection of at least one protocol parameter from a plurality of protocol parameters and a magnetic resonance device therefor

A medical imaging apparatus has a data acquisition scanner having a patient receiving zone at least partially enclosed by the scanner, and at least one acquisition unit equipped with a camera to acquire positional data. The at least one acquisition unit has a first imaging optics system and at least one second imaging optics system that differs from the first imaging optics system with regard to at least one optical property or attribute that affects the acquisition of the positional data.

Medical imaging apparatus

Medical apparatus for imaging

A flexible magnetic resonance coil apparatus, an applicator, and a method for arranging a magnetic resonance coil apparatus on an object under examination are provided. The magnetic resonance coil apparatus includes at least one coil element and at least one carrier structure. The at least one carrier structure is configured to adapt its geometric shape.

Magnetic resonance coil apparatus with an adjustable carrier structure

In a method, a user interface, a magnetic resonance apparatus, and a storage medium encoded with programming instructions, in order to enable processing and/or display of magnetic resonance diffusion image data, diffusion image data are provided to a computer, a signal threshold are provided to a computer, and a b-value map is calculated by the computer on the basis of the diffusion image data and the predetermined signal threshold.

Method and system to process magnetic resonance diffusion image data

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

A method and system for automatic magnetic resonance (MR) volume composition and normalization is disclosed. In one embodiment, a plurality of MR volumes is received. A composite MR volume is generated from the plurality of MR volumes. Volume normalization of the composite MR volume is then performed to correct intensity inhomogeneity in the composite MR volume. The volume normalization of the composite MR volume may be performed using template MR volume or without a template MR volume.

System and method for automatic magnetic resonance volume composition and normalization

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

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Buckenhof, Germany

Peter Gall