Siemens Aktiengesellschaft

Friedrich-alexander-universitat Erlangen-nürnberg

Friedrich-alexander-universitaet Erlangen-nuernberg

Massachusetts Institute of Technology

Siemens Medical Solutions Usa, Inc.

Siemens Corporation

Siemens Aktiengesell Schaft

Joachim Hornegger

Günter Lauritsch

Marcus Prümmer

Stefan Hoppe

Benno Heigl

Jan Boese

Rui Liao

Norbert Strobel

James G Fujimoto

Andreas Wimmer

Benjamin Michael Potsaid

Alexander Brost

Martin F G Kraus

Markus Anton Mayer

Ruediger Bock

Volkmar Welker

Joachim Reiss

Terrence Chen

Frank Fischer

Frank Sauer

Chenyang Xu

Bernhard Scholz

Siegfried Schneider

Wen Wu

André Kaup

Stefan Böhm

Christopher Rohkohl

Stefan Assmann

Ernst-Peter Rührnschopf

Christoph Guetter

Michael Zellerhoff

Thomas Brunner

Yu Deuerling-Zheng

Adam K Galant

Dietrich Paulus

Holger Scherl

Christian Eisenacher

Wieland Eckert

Klaus Hambüchen

Elmar Nöth

Martin Willibald Koch

Marc Stamminger

Christian Georg

Klaus Jochen Klose

Christoph Schnoerr

Christian Neumair

Rudolf Freytag

Benjamin M Potsaid

Images of an object, such as OCT scans of a human eye, can include distortions and data gaps due to relative motion of the object and the image acquisition device. Methods and systems for correction of such distortions and data gaps are described herein. Motion-corrected data is arrived at by applying three-dimensional transforms to input three-dimensional data sets that represent at least partially overlapping regions of the imaged object. The three dimensional transforms are computed based on an objective function that accounts for similarity between the transformed three-dimensional data sets and the estimated motion of the object relative to an imaging instrument. Methods and systems described herein advantageously eliminate the need for postulated assumptions and reliance on landmarks and are capable of filling data gaps, thereby producing high quality, undistorted images of objects subject to movement during imaging. Multiple motion-corrected data sets can be merged or combined to produce a data set with improved image quality.

Method and apparatus for motion correction and image enhancement for optical coherence tomography

A method for model based motion tracking of a catheter during an ablation procedure includes receiving a training series of biplanar fluoroscopic images of a catheter acquired under conditions that will be present during an ablation procedure, segmenting and processing the series of biplanar images to produce a distance transform image for each biplanar image at each acquisition time, minimizing, for each pair of biplanar images at each acquisition time, a cost function of the distance transform image for each pair of biplanar images to yield a translation parameter that provides a best fit for a model of the catheter to each pair of biplanar images at each acquisition time, and calculating an updated catheter model for each acquisition time from said translation parameter.

Constrained registration for motion compensation in atrial fibrillation ablation procedures

A method for compensating cardiac and respiratory motion in atrial fibrillation ablation procedures includes (a) simultaneously determining a position of a circumferential mapping (CFM) catheter and a coronary sinus (CS) catheter in two consecutive image frames of a series of first 2-D image frames; (b) determining a distance between a virtual electrode on the CS catheter and a center of the CFM catheter for a first image frame of the two consecutive image frames, and for a second image frame of the two consecutive image frames; and (c) if an absolute difference of the distance for the first image frame and the distance for the second image frame is greater than a predetermined threshold, compensating for motion of the CFM catheter in a second 2-D image.

Combined cardiac and respiratory motion compensation for atrial fibrillation ablation procedures

The invention relates to a method for three-dimensional presentation of a moved structure using a tomographic method, in which a plurality of projection images are recorded from different imaging angles between a start angle with a start node point and an end angle with an end node point by an imaging unit during a number of rotation passes, with three-dimensional image data being able to be reconstructed from the projection images, with the projection images being spaced by a path or an edge. For determining the three-dimensional presentation for each angle of projection only those projection images are selected which minimize the sum of the paths or weighted edges between adjacent projection angles for a gating.

Method for three-dimensional presentation of a moved structure using a tomographic method

A user predefines for a computer a retrieval instruction for primary data of a patient or of several patients. The computer accesses the primary data of this patient and outputs them to the user via a visual display device. The primary data comprise the primary image data recorded by way of a primary imaging modality and/or primary information derived from said primary image data. The computer automatically checks whether it is possible to access secondary data of this patient, which comprise the secondary image data recorded via a secondary imaging modality and/or secondary information derived from said secondary image data. In the affirmative case, the computer outputs a corresponding message to the user via the visual display device and/or by accessing at least a portion of the secondary data of this patient and outputting said data to the user via the visual display device.

Operating method for a computer

Two sequences of data sets having at least two dimensions and referring to an object which changes over time are specified to a computer. Each data set in each sequence is assigned a measure of time which can be used to determine the temporal relationship of the data sets to the other data sets in the respective sequence. The computer compares the first data set) in the first sequence with the data sets in the second sequence and automatically determines a first data set from the second sequence corresponding to a first data set from the first sequence. With the aid of the corresponding first data sets in the first and second sequences and the measures of time assigned to the data sets, the computer then determines, for each of the other data sets in the first sequence, the corresponding data set from the second sequence.

Operating method for a computer having sequences of data sets changing over time and corresponding devices

The invention relates to a method for correcting truncation artifacts in a reconstruction method for computed tomography recordings. The projection images are recorded by an x-ray image detector being extended by determining the attenuation of the radiation outside the projection image for pixels. Non-horizontal filter lines are extended by transaxial and axial artificial extension of the x-ray image detector for the purposes of truncation correction. The truncation correction for non-horizontal filter lines being carried out according to a method from at least one of the following groups: truncation correction takes place regardless of the specific location and orientation of the filter lines; truncation correction takes place as a function of the specific position and orientation of the filter lines, with the filter lines themselves being retained; and truncation correction takes place by introducing new modified filter lines, with filtering taking place along offset artificially extended filter lines.

Method for correcting truncation artifacts

The invention relates to the use of 2D projection images which belong to a specific common heart phase. A 3D image data set can be used to generate a reference projection image for the same projection angle for each of the 2D projection images and a differential image can be derived from the reference projection image and 2D projection image. The differential images are back-projected and combined in one 3D differential image data set and, by using this, a deformed 3D image data set is obtained from the previously recorded 3D image data set. Iterations guarantee that the deformed 3D image data set ensues with the smallest possible distance from the 2D projection images for the existing common heart phase. Finally, a 3D image data set is available for a different heart phase other than the reference heart phase and the possibilities for imaging a patient's heart are extended.

Method for providing extended possibilities when imaging a patient's heart

X-ray images are recorded of a patient's heart and the heartbeat phase is registered as that is done. The heartbeat phases are coarsely divided into intervals and all X-ray images that have been assigned heartbeat phase from the interval are used for reconstructing a 3D image dataset. The movement fields of the other 3D image datasets are then calculated for one of said 3D image datasets. Movement fields are vector fields indicating the movements of similar structures from one local area to the other. A departure is then made from the coarse interval division, and for each heartbeat phase a movement field is interpolated individually or at least for fairly short intervals from the movement fields determined in advance, which field is used for generating a deformed 3D image dataset that has been imaged onto a reference heartbeat phase. The deformed 3D image datasets are then added together.

Method for providing a 3D X-ray image dataset of a patient's heart

A method is provided for accelerating non-rigid image registration, using parallel processors. To that end, on a commercially available graphics card, a block-matching algorithm is implemented, which, by histogram-based similarity standards, calculates the motion vectors for individual blocks. All the blocks are processed simultaneously and individually. The complete motion vector field is obtained by bilinear interpolation. Optimized search methods, such as conjugate direction searching, are employed. The algorithm terminates once the optimal displacement has been found for all the blocks. The registration is done completely on the graphics card. The algorithm is fully automatic, precise, and fast. The program may be employed for instance in registration for digital subtraction angiography.

Accelerated image registration by means of parallel processors

A computer receives a number of groups of projection images of a reference object already known to the computer. Each projection image was captured via a recording arrangement with corresponding positioning of the recording arrangement. The computer uses one projection image for the respective position of the recording arrangement to determine an interim projection matrix, which describes a mapping of the three-dimensional space to a projection image captured with the respective positioning of the recording arrangement. The interim projection matrices relate to coordinate systems that are specifically assigned to each group. The computer uses interim projection matrices of different groups determined for the same position of the recording arrangement to determine locations of the other coordinate systems related to one of the coordinate systems. The computer uses the interim projection matrices and locations of the other coordinate systems to define a final projection matrix, that relates to a uniform coordinate system, for every position of the recording arrangement.

Method for determining final projection matrices

An inquirer provides a support facility for a medical engineering system with a voice entry by means of a voice entry device. The support facility evaluates the voice entry by means of a voice recognition system and reacts correspondingly in that it outputs an acoustic output to the inquirer via an acoustic output device and an optical output via an optical device.

Operating method for a support facility for a medical engineering system and objects corresponding herewith

A computer-implemented method for non-rigid multi-modal registration, includes providing trained data corresponding to previously registered images captured by different modalities, receiving two or more images captured by the different modalities, and registering the two or more images according to context information determined based on the trained data.

Non-rigid multi-modal registration using statistical learning methods

The invention relates to a method for determining gray-scale values for volume elements of bodies to be mapped using an x-ray image recording system. When a body to be mapped is not mapped in full on a single projection image for a rotational position, a second projection image must be made and a virtual projection image derived from the two projection images, this being back-projected onto the volume elements. For calibration the present invention proposes making the same two projection images in each case at a calibration phantom and additionally a further projection image, corresponding to the position and orientation of the virtual projection image. As a result the mathematical relationships between the projection images and the virtual projection image and for the back-projection can be derived.

Method for determining gray-scale values for volume elements of bodies to be mapped

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Effeltrich, Germany

Joachim Hornegger