Siemens has developed software, which uses advanced knowledge based data analytics to efficiently model heart valves from 3D Ultrasound images and quantify geometrical dimensions.
Valve geometry features are critical for disease diagnostics as well as surgical and catheter based therapy. Today physicians are performing valve measurement using 2D imaging only, making the decision process time consuming and operator dependent, which reduces its reproducibility.
Automated measurements are now enabled by a new ultrasound probe to reduce complexity that creates unstitched 3D images of the heart in real-time, combined with blood flow imaging via color Doppler technology.
From this image data, the eSie Valves advanced analysis package software enables efficient creation of a 3D model of the mitral and aortic valves, from which a multitude of measurements are computed. The eSie Valves package not only offers fast and reproducible quantification using clinical standard measurements, but also enables standard dynamic measurements of geometrically complex valve anatomy, which would not be practical to obtain manually.
eSie Valves is planned to be delivered with the new PRIME ACUSON SC2000 ultrasound systemPrime Ultrasound scanner.
This system offers a new trans-esophageal ultrasound probe. In practice, the transducer is inserted into the esophagus of a patient via an endoscope. In this way, the heart is imaged at close proximity, yielding highly accurate images. The device also measures the frequency of ultrasound waves reflected by blood cells (Doppler principle) and thereby computes the direction and speed of blood flow.
Learning software identifies heart valves automatically
In these images, eSie Valves automatically identifies heart valves and creates detailed 3D models. Image processing and machine learning technology, developed by Siemens' research division Corporate Technology, builds the foundation of the software. It enables fast and robust object detection within medical image data that is subject to noise and a wide spectrum of variation in appearance due to organ motion, pathology and patient variation. It is based on learning technology that analyzes hundreds of similar images from a database and learns how to identify recurrent image features as reference anatomical landmarks.
In the case of cardiac ultrasound images, a large number of acquisitions from different patients were used for the learning process. The software learns to identify certain anatomical features of different granularity, e.g. the coarse appearance of valves and chambers or fine details such as tips of the mitral valve. Then the software scans the image to determine location and pose of the valves, to finally generate a 3D model of the valve anatomy in a matter of seconds.
In collaboration with leading medical centers, clinical studies highlighted the reproducibility and speed of eSie Valves over competing solutions.
Dr. Norbert Aschenbrenner | Siemens InnovationNews
Another reason to exercise: Burning bone fat -- a key to better bone health
19.05.2017 | University of North Carolina Health Care
Disrupted fat breakdown in the brain makes mice dumb
19.05.2017 | Rheinische Friedrich-Wilhelms-Universität Bonn
Two-dimensional magnetic structures are regarded as a promising material for new types of data storage, since the magnetic properties of individual molecular building blocks can be investigated and modified. For the first time, researchers have now produced a wafer-thin ferrimagnet, in which molecules with different magnetic centers arrange themselves on a gold surface to form a checkerboard pattern. Scientists at the Swiss Nanoscience Institute at the University of Basel and the Paul Scherrer Institute published their findings in the journal Nature Communications.
Ferrimagnets are composed of two centers which are magnetized at different strengths and point in opposing directions. Two-dimensional, quasi-flat ferrimagnets...
An Australian-Chinese research team has created the world's thinnest hologram, paving the way towards the integration of 3D holography into everyday...
In the race to produce a quantum computer, a number of projects are seeking a way to create quantum bits -- or qubits -- that are stable, meaning they are not much affected by changes in their environment. This normally needs highly nonlinear non-dissipative elements capable of functioning at very low temperatures.
In pursuit of this goal, researchers at EPFL's Laboratory of Photonics and Quantum Measurements LPQM (STI/SB), have investigated a nonlinear graphene-based...
Dental plaque and the viscous brown slime in drainpipes are two familiar examples of bacterial biofilms. Removing such bacterial depositions from surfaces is...
For the first time, scientists have succeeded in studying the strength of hydrogen bonds in a single molecule using an atomic force microscope. Researchers from the University of Basel’s Swiss Nanoscience Institute network have reported the results in the journal Science Advances.
Hydrogen is the most common element in the universe and is an integral part of almost all organic compounds. Molecules and sections of macromolecules are...
22.05.2017 | Event News
17.05.2017 | Event News
16.05.2017 | Event News
22.05.2017 | Materials Sciences
22.05.2017 | Life Sciences
22.05.2017 | Physics and Astronomy