Other

Siemens Aktiengesellschaft

Karlsruher Institut Fur Technologie

Axel Loewe

Mariappan S Nadar

Jun Liu

Michael Zenge

Edgar Mueller

Qiu Wang

Alban Lefebvre

Nirmal Janardhanan

Zhili Yang

Olaf Dössel

Tobias Oesterlein

Daniel Frisch

Gustavo Lenis

Nicolas Pilia

A computer system for determining Ventricular Far Field contribution in atrial electrograms of a patient. The system includes an interface module configured to receive a plurality of electrical signals generated by a plurality of sensors wherein the plurality of electrical signals relate to a plurality of locations in an atrium of the patient; a reference module configured to determine a reference signal reflecting electrical excitation of the patient's ventricles; and a data processing module. The data processing module is configured to select from the plurality of the received electrical signals such electrical signals which are recorded a number of conditions. The data processing module is further configured to determine a spatio-temporal distribution of the Ventricular Far Field inside the atrium by approximating the spatio-temporal distribution (VFFc) based on signal data of the selected signals by using an approximation model.

Method and system for determining ventricular far field contribution in atrial electrograms

A computer-implemented method for calculating a multi-dimensional wavelet transform in an image processing system comprising a plurality of computation units includes receiving multi-dimensional image data. An overlap value corresponding to a number of non-zero filter coefficients associated with the multi-dimensional wavelet transform is identified. Then the multi-dimensional image data is divided into a plurality of multi-dimensional arrays, wherein the multi-dimensional arrays overlap in each dimension by a number of pixels equal to the overlap value. A multi-dimensional wavelet transform is calculated for each multi-dimensional array, in parallel, across the plurality of computation units.

Zero communication block partitioning

A computer-implemented method for reconstruction of a magnetic resonance image includes acquiring a first incomplete k-space data set comprising a plurality of first k-space lines spaced according to an acceleration factor and one or more calibration lines. A parallel imaging reconstruction technique is applied to the first incomplete k-space data to determine a plurality of second k-space lines not included in the first incomplete k-space data set, thereby yielding a second incomplete k-space data set. Then, the parallel imaging reconstruction technique is applied to the second incomplete k-space data to determine a plurality of third k-space lines not included in the second incomplete k-space data, thereby yielding a complete k-space data set.

Multi-stage magnetic resonance reconstruction for parallel imaging applications

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Karlsruhe, Germany

Axel Loewe