Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

The United States of America, as Represented by the Secretary, Department of Health and Human Services

Yale University

Siemens Healthineers Ag

Dentsply Sirona Inc.

Sirona Dental Systems Gmbh

Edgar Müller

Peter Speier

Mariappan S Nadar

Michael Zenge

Ti-chiun Chang

Arne Littmann

Xiaoguang Lu

Dorin Comaniciu

Markus Vester

Bogdan Georgescu

Mario Zeller

Stephan Biber

Stefan Popescu

Sebastian Schmidt

Yefeng Zheng

Frank Sauer

Marcel Dominik Nickel

Tong Fang

Andreas Greiser

Matthias Gebhardt

Björn Heismann

Marie-Pierre Jolly

Mehmet Akif Gulsun

Jens Gühring

Stefan Assmann

Qiu Wang

Michaela Schmidt

Lars Lauer

Hui Xue

Jens Guehring

Christoph Guetter

Jun Liu

Hasan Ertan Cetingul

Carmel Hayes

Alban Lefebvre

Johannes Ulrici

Robert Todd Constable

Jörg Rothard

Stefan Wundrak

Kai Tobias Block

Okan Ekinci

Sebastian Dennert

Jeremy Rapin

Gigi Galiana

Reto Merges

Michael S Hansen

Derya Gol Gungor

Florian Odoj

Tobias Wichmann

Jiayu Song

Titus Lanz

Marco Geissner

A magnetic resonance scanner has a base, a C-arm mounted on the base, the C-arm having an inner surface curved in a C-shape, the C-shape defining a plane, a magnet mounted on the inner curved surface of the C-arm, the magnet generating a basic magnetic field for magnetic resonance imaging, and a drive mechanism mechanically connected to the magnet. The drive mechanism rotates the magnet around an axis that is orthogonal to the plane so as to selectively position the magnet in at least two magnet positions that are respectively above and beneath a patient, who is situated in the C-arm along or parallel to the axis.

Resonance data acquisition scanner with rotating basic field magnet

Magnetic resonance imaging uses regularized SENSE reconstruction for a reduced field of view, but minimizes folding artifacts. A reference scan is oversampled relative to the reduced field of view. The oversampling provides coil sensitivity information for a region greater than the reduced field of view. The reconstruction of the object for the reduced field of view using the coil sensitivities for the larger region may have fewer folding artifacts.

Reference oversampling in sense-type magnetic resonance reconstruction

A method of magnetic resonance (MR) imaging of a volume undergoing repetitive motion includes obtaining source slice data indicative of a plurality of source slices during the repetitive motion, and obtaining anchor slice data indicative of an anchor slice during the repetitive motion. The anchor slice intersects the plurality of source slices. The source slice data and the anchor slice data are reconstructed. A three-dimensional image assembly procedure is implemented to generate, for each phase of the repetitive motion, volume data based on a respective subset of the reconstructed source slice data. For each phase of the repetitive motion, the respective subset of slices is selected based on a correlation of the source slice data and the anchor slice data along an intersection between each source slice and the anchor slice. The source slice data of the selected subset is corrected for misalignment with the anchor slice data.

MRI 3D cine imaging based on intersecting source and anchor slice data

A method for image reconstruction includes receiving under-sampled k-space data, determining a data fidelity term of a first image of the under-sampled k-space data in view of a second image of the under-sampled k-space data, wherein a time component separated the first image and the second image, determining a spatial penalization on redundant Haar wavelet coefficients of the first image in view of the second image, and optimizing the first image according the data fidelity term and the spatial penalization, wherein the spatial penalization selectively penalizes temporal coefficients and an optimized image of the first image is output.

Image reconstruction using redundant Haar wavelets

A method to process medical image data has the following features. Immediately compressed raw data are acquired by an imaging medical technology apparatus. The compressed raw data are stored. In addition to the compressed raw data, processing data are stored which are provided to generate output data from the compressed raw data, wherein the file size of the compressed raw data and the processing data in total is less than the file size of the output data.

Method to process medical image data

The present embodiments relate to an apparatus that includes a local coil for a magnetic resonance tomography system and an implantable device.

Apparatus with local coil arrangement and implantable device

A method of deriving blood flow parameters from a moving three-dimensional (3D) model of a blood vessel includes determining a reference vascular cross-sectional plane through a location of a lumen in a moving 3D model of the blood vessel at one time within the model, determining a plurality of target vascular cross-sectional planes at multiple times via temporal tracking of the reference plane based on a displacement field, determining a plurality of contours based on an intersection of the target vascular cross-sectional planes with the moving 3D vessel model at multiple times within the model, and determining a blood flow parameter of the vessel from intersections of each contour of a given one of the times with a phase contrast magnetic resonance (PC-MRI) image of the blood vessel from the corresponding time.

Generation of moving vascular models and blood flow analysis from moving vascular models and phase contrast MRI

A reconstructed image is rendered from a set of MRI data by first estimating an image with an area which does not contain artifacts or has an artifact with a relative small magnitude. Corresponding data elements in the estimated image and a trial image are processed, for instance by multiplication, to generate an intermediate data set. The intermediate data set is transformed and minimized iteratively to generate a reconstructed image that is free or substantially free of artifacts. In one embodiment a Karhunen-Loeve Transform (KLT) is used. A sparsifying transformation may be applied to generate the reconstructed image. The sparsifying transformation may be also not be applied.

Prior enhanced compressed sensing (PRINCE-CS) reconstruction for dynamic 2D-radial cardiac MRI

A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result using component-based voting based on the detected LV candidates, apex candidates, and base candidates.

Method and system for left ventricle detection in 2D magnetic resonance images

A set of image-space data is reconstructed from a set of k-space data. The set of image-space data is generated by minimizing a cost functional by an iterative non-linear conjugate gradient process. The iterative process may be accelerated by introducing k-space weighting to the cost functional. With proper choice of k-space weighting, a block-Toeplitz matrix is generated which permits use of Fast Fourier Transform techniques. An image is rendered from the set of image-space data.

Practical image reconstruction for magnetic resonance imaging

Growing community of inventors

Heroldsbach, Germany

Edgar Müller