Company Filing History:
Years Active: 2017-2022
Title: Innovations by Zachary Slavens in Medical Imaging
Introduction
Zachary Slavens is an accomplished inventor based in New Berlin, WI (US). He has made significant contributions to the field of medical imaging, holding a total of 7 patents. His work focuses on enhancing the efficiency and accuracy of imaging systems through innovative methods and technologies.
Latest Patents
One of Zachary's latest patents is titled "Systems and methods for automated graphical prescription with deep neural networks." This invention provides methods and systems for creating automated graphical prescriptions using deep learning systems. In this embodiment, a medical imaging system acquires localizer images of a subject, generates a graphical prescription using a trained neural network, and performs a scan according to that prescription. This approach allows for accurate scanning of a desired region of interest with minimal operator input.
Another notable patent is "Methods and systems for coil selection in magnetic resonance imaging." This invention outlines various methods for selecting radio frequency (RF) coil arrays for MRI. The method involves grouping coil elements into receiving elements groups (REGs), generating channel sensitivity maps, and selecting REGs based on sensitivity maps and regions of interest. This innovation aims to improve the image quality of MRI scans by automating coil array selection.
Career Highlights
Zachary Slavens is currently employed at General Electric Company, where he continues to develop cutting-edge technologies in medical imaging. His expertise in deep learning and imaging systems has positioned him as a key contributor in his field.
Collaborations
Zachary has collaborated with notable colleagues, including Dawei Gui and Shaorong Chang. Their combined efforts have led to advancements in medical imaging technologies and methodologies.
Conclusion
Zachary Slavens is a prominent inventor whose work in medical imaging has led to significant innovations. His patents reflect a commitment to improving imaging systems through advanced technologies.
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