Siemens Aktiengesellschaft

Siemens Corporation

Siemens Medical Solutions Usa, Inc.

Siemens Audiologische Technik Gmbh

Siemens Corporate Research, Inc.

Siemens Hearing Instruments, Inc.

Siemens Energy, Inc.

Siemens Product Lifecycle Management Software Inc.

Siemens Aktiengsellschaft

Sivantos Pte. Ltd.

Tong Fang

Gregory G Slabaugh

Gozde Unal

Yunqiang Chen

Jason Jenn-Kwei Tyan

Ti-chiun Chang

Fred McBagonluri

Ming Fang

Alexander Zouhar

Sergei Azernikov

Peter Durlak

Sajjad Hussain Baloch

Hui Xie

Rupen Melkisetoglu

Michelle Xiaohong Yan

Suraj Ravi Musuvathy

Stefan Böhm

Brian Whited

Gregory Gibran Slabaugh

Artem Boltyenkov

Andreas Reh

Hongcheng Wang

Peter Nikles

Stefan Boehm

Jaroslaw Rossignac

Sandra Martin

Jörg Bindner

Jin Zhou

Peter Speier

Rainer Raupach

Bernhard Schmidt

Justinian Rosca

Heiko Claussen

Stefan Thesen

Upul P DeSilva

Ying Zhu

Michael Wels

Hao Fang Wu

Shuping Qing

Nancy H Ulerich

Christopher Vincent Alvino

Raimund Martin

Edgar Müller

Claus Bahlmann

Valer Canda

Gang Li

Markus Lendl

Joerg Bindner

Eduard Kaiser

Thomas Pohl

Jarek Rossignac

Michelle Xiao-Hong Yan

James B Thompson

Erkang Cheng

Markus Roβmeier

Huy-Nam Doan

Therese Velde

Lingyun Liu

Jiayu Song

Lin He

Susann Bucher

Lin Cheng

Yan Yang

Koon Yin Kong

Siegfried Fuchs

Sandra Knoth

Konrad Sickel

Vojtech Bubnik

Guanglei Xiong

Lawrence Spivey

Shawn Lankton

Ruirui Jiang

Kooksang Moon

Simon Floery

Bertrand Peny

Simon Flory

A method of calibrating transceiver positions inside an acoustic pyrometry measuring vessel that contains a plurality of transceivers, includes determining () a speed of sound in the acoustic pyrometry measuring vessel from a temperature and gas composition of a gas inside the acoustic pyrometry measuring vessel, acquiring () time-of-flight (TOFs) &#x394;timeasurements from a plurality of pairs i,j of transceivers inside the acoustic pyrometry measuring vessel, estimating () a radius of the acoustic pyrometry measuring vessel from an average of the acquired TOF measurements, and using () an estimated radius of the acoustic pyrometry measuring vessel to estimate errors &#x394;&#x3b8;j of displacement angles of the transceivers.

Fully automated calibration for acoustic pyrometry

The design process for the surgical plan in orthopedics and/or the design of a personalized cutting guide and/or implant are automated in a workflow frame work. Abstracted rules are scripted through a sequence of operations to alter a bone surface or model for fitting an implant. Using bone information for a specific patient, the proper implant and series of cuts are determined using the rules. A corresponding cutting guide may be fitted to the bone information for the specific patient. Surgical planning of bone replacement implants is performed automatically.

Feature-driven rule-based framework for orthopedic surgical planning

A computer assisted method creates accurate CAD/CAM models of custom orthopedic implants is provided. Information about bone geometry is acquired through medical imaging such as CT image scans. The desired bone surface region is extracted as a polygonal mesh after processing the 3D images. A smooth and accurate B-Spline surface is fitted to the polygonal mesh that is thickened to a solid CAD model. A patient-specific customized implant is manufactured from the obtained CAD model. The patient-specific customized implant is implanted in a patient by a surgeon in an operating room. A processor based system to generate a CAD/CAM file of the patient-specific customized implant and a manufacturing system enabled to manufacture the implant from the CAD/CAM file are also disclosed.

Personalized orthopedic implant CAD model generation

A method on a processor customizes a fixation plate for repairing a bone fracture. A digital CAD model of an implant contains smooth analytic geometry representations including NURBS. The CAD geometry is directly manipulated to generate a customized implant CAD model that conforms to the desired region of the bone surface of a patient. Direct manipulation of NURBS geometry is computationally fast and suitable for interactive planning. The patient specific customized implant is produced directly from the generated customized CAD model with a standard CNC machine before surgery. The patient customized implant is implanted in the patient.

Semi-automatic customization of plates for internal fracture fixation

A method for segmenting intracranial aneurysms in digital medical images includes extracting a mesh representing a vessel surface from a volumetric digital image, the mesh comprising a set of points {p} and edges {e} respective points, and finding a set of binary labelings that minimizes an energy functional of the labelings and of shape descriptors of each point in the mesh, where the binary labelings segments an aneurysm from the surface by associating one of two labels with each point p, where a label indicates whether an associated point is on a vessel or on an aneurysm, where the energy functional includes a unary potential term summed over all points that represent a posterior distribution of the labels over the points, and a pairwise potential term summed over all edges that represents neighborhood labeling relationships.

Shape based conditional random fields for segmenting intracranial aneurysms

A method and apparatus for the smoothing of a mesh surface is disclosed whereby neighboring vertices of a target vertex are identified, for example, by identifying the neighboring vertices within a desired distance from the target vertex. A normal of the target vertex is determined as a function of, for example, the features of a set of neighbor triangles corresponding to the set of neighboring vertices. A local coordinate system is then established. Unknowns in a quadratic surface function are then solved as a function of the position of the neighboring vertices with respect to the local coordinate system and new x and y coordinates in the local coordinate system are determined for the target vertex. These new x and y coordinates are entered into the quadratic surface function to obtain a new smoothed z coordinate for the target vertex.

Method and apparatus for non-shrinking mesh smoothing using local fitting

For resonance image data of an imaged subject, a method that first detects and estimates the dominant motions of k-space data (i.e., the motion vectors) and then constructs a graphical model for each estimated motion vector. The segments of the k-space that are determined to be corrupted by motion are restored by minimizing the energy associated with the corresponding graphical model. Consequently, the MR image of the imaged subject becomes free of motion artifacts.

Method for correcting motion artifacts in magnetic resonance images

A method for enhancing stent visibility in digital medical images includes providing a time series of 2-dimensional (2D) images of a stent in a vessel, estimating motion of the stent in a subset of images of the time series of images, estimating motion of clutter in the subset of images, where clutter comprises anatomical structures other than the stent, estimating a clutter layer in the subset of images from the estimated clutter motion, estimating a stent layer in the subset of images from the clutter layer and the estimated clutter motion, and minimizing a functional of the estimated stent motion, the estimated stent layer, the estimated clutter motion, and the estimated clutter layer to in calculate a refined stent layer image, where the refined stent layer image has enhanced visibility of the stent.

System and method for multi-image based stent visibility enhancement

A method for detecting markers within X-ray images includes applying directional filters to a sequence of X-ray image frames. Marker candidate pixels are determined based on the output of the directional filters. Candidate pixels are grouped into clusters and distances between each possible pair of clusters is determined and the most frequently occurring distance is considered an estimated distance between markers. A first marker is detected at the cluster that most closely resembles a marker based on certain criteria and a second marker is then detected at a cluster that is the estimated distance from the first marker. The pair of first and second marker detections is scored to determine detection quality. If the detected marker pair has an acceptable score then the detected marker pair is used.

Marker detection in X-ray images

A method for specifying design rules for a manufacturing process includes providing a training set of 3D point meshes that represent an anatomical structure, for each 3D point mesh, finding groupings of points that define clusters for each shape class of the anatomical structure, calculating a prototype for each shape class cluster, and associating one or more manufacturing design rules with each shape class prototype. The method includes providing a new 3D point mesh that represents an anatomical structure, calculating a correspondence function that maps the new 3D point mesh to a candidate shape class prototype by minimizing a cost function, calculating a transformation that aligns points in the new 3D point mesh with points in the candidate shape class prototype, and using the rules associated with the shape class prototype, if the candidate shape class prototype is successfully aligned with the new 3D point mesh.

System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster

A system and method for segmentation of anatomical structures in MRI volumes using graph cuts is disclosed. In this method, a template is registered to an MRI brain volume. The template identifies seed points of anatomical brain structures, such as the cerebrum, the cerebellum, and the brain stem, in the MRI brain volume. Any or all of the anatomical brain structures can be segmented using graph cuts segmentation initialized based on the seed points identified by the template. It is possible to segment each of the anatomical brain structures by performing a hierarchical three-phase segmentation process including brain/non-brain segmentation, cerebrum/cerebellum and brain stem segmentation, and cerebellum/brain stem segmentation.

System and method for segmentation of anatomical structures in MRI volumes using graph cuts

A method for temporally filtering medical images during a fluoroscopy guided intervention procedure includes providing a mask image, a fluoroscopy intervention image acquired at a current time during a medical intervention procedure, forming a subtraction image by subtracting the mask image from the intervention image, calculating a motion image of a moving structure in the subtraction image, forming a residual image by subtracting the motion image from the subtraction image, temporally filtering the residual image with a filtered image from a previous time, and adding the motion image to the temporally filtered residual image.

System and method for decomposed temporal filtering for X-ray guided intervention application

A method for enhancing a virtual non-contrast image, includes receiving a pair of dual scan CT images and calculating a virtual non-contrast image from the pair of CT images using known tissue attenuation coefficients. A conditional probability distribution is estimated for tissue at first and second points in each of the pair of CT images and the virtual non-contrast image as being the same type. A conditional probability distribution for tissue is estimated at the first and second points in each of the pair of CT images and the virtual non-contrast image as being of different types. An a posteriori probability of the tissue at the first and second points as being the same type is calculated from the conditional probability distributions, and an enhanced virtual non-contrast image is calculated using the a posteriori probability of the tissue at the first and second points as being the same type.

System and method for multi-image based virtual non-contrast image enhancement for dual source CT

A method for designing a prosthetic device includes acquiring a three-dimensional image of an anatomical surface. A rules script for automatically performing a plurality of image processing rules using a script interpreter is executed. For each particular rule of the plurality of rules, one or more anatomical features that are relevant to the particular rule using a surface shaping engine are determined, the one or more determined anatomical features are automatically segmented from the acquired three-dimensional image using a feature detector, and the particular image processing rule is performed on the acquired three-dimensional image based on the automatically segmented anatomical features using a CAD tool. A prosthetic device design is produced based on the three-dimensional image upon which the rules of the plurality of image processing rules have been performed.

Feature driven rule-based framework for automation of modeling workflows in digital manufacturing

A method and system for segmenting tubular structures in 3D images is disclosed. User inputs identifying a first region on the image inside of a tubular structure and a second region of the image outside of the tubular structure are received. Based on this information, an ordered series of pearls are generated along the tubular structure. Pearls are spheres, each having a center location and a radius determined based on the center locations and radii of previous pearls and on local voxel intensities in the image. A continuous model of the tubular structure can be generated by interpolating the center locations and radii of the ordered series of pearls. The ordered series of pearls can be displayed and easily edited in response to user input, thus providing an efficient and flexible method for interactive segmentation of a potion of interest in a tubular structure.

Method and system for segmentation of tubular structures in 3D images

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Morganville, NJ, United States of America

Tong Fang