Siemens Aktiengesellschaft

Siemens Energy, Inc.

Siemens Corporation

Siemens Medical Solutions Usa, Inc.

Michelle Xiaohong Yan

Tong Fang

Justinian Rosca

Heiko Claussen

Ti-chiun Chang

Upul P DeSilva

Nancy H Ulerich

Rui Liao

Yunqiang Chen

Wei You

Leo John Grady

Matthias John

Stefan Böhm

Noha Youssry El-Zehiry

Peter Durlak

Sara Good

Thomas Pohl

Markus Roβmeier

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

Values for ultrasound acquisition parameters are altered in a manifold space. The number of parameters to be set is reduced using a manifold. Virtual parameters different than the acquisition parameters are used to alter the greater number of acquisition parameters. In a further use, optimum image settings may be obtained in an automated system by measuring image quality for feeding back to virtual parameter adjustment.

Tuning ultrasound acquisition parameters

An acoustic signal traversing a hot gas is sampled at a source and a receiver and is represented in overlapping windows that maximize useable signal content. Samples in each window are processed to represented in different sparsified bins in the frequency domain. Determining a signal delay between the source and the receiver from a summation of maximum smoothed coherence transform cross-correlation values of different data windows wherein a sparseness of a mean smoothed coherence transform cross-correlation of windows is maximized. Determining a set of delay times wherein outliers are deleted to estimate a time of flight from which a temperature of the hot gas is calculated.

Noise robust time of flight estimation for acoustic pyrometry

A method and apparatus for operating a gas turbine engine including determining a temperature of a working gas at a predetermined axial location within the engine. An acoustic signal is encoded with a distinct signature defined by a set of predetermined frequencies transmitted as a non-broadband signal. Acoustic signals are transmitted from an acoustic transmitter located at a predetermined axial location along the flow path of the gas turbine engine. A received signal is compared to one or more transmitted signals to identify a similarity of the received signal to a transmitted signal to identify a transmission time for the received signal. A time-of-flight is determined for the signal and the time-of-flight for the signal is processed to determine a temperature in a region of the predetermined axial location.

Non-intrusive measurement of hot gas temperature in a gas turbine engine

A method for automatically detecting the presence of contrast in an x-ray image includes acquiring an x-ray image prior to administration of contrast. A background image is estimated based on the x-ray image. The contrast is administered. A set of x-ray images is acquired. The background image is subtracted from the set of images. Image intensity is determined for each of the subtracted images. The subtracted images having highest image intensity are selected. A predefined shape model is fitted to the selected subtracted images. The fitting of the predefined shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value.

Automatic detection of contrast injection

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 that includes generating a contrast feature curve for a medical image sequence including a plurality of frames, where the contrast feature curve represents contrast feature values of the frames. The method further includes detecting a peak in the contrast feature curve, and determining whether the peak corresponds to at least one of contrast injection in an aortic root, contrast injection in a balloon, and a non-contrast injected region.

Spatio-temporal analysis for automatic contrast injection detection on angiography during trans-catheter aortic valve implantation

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.

Growing community of inventors

Princeton, NJ, United States of America

Michelle Xiaohong Yan