Company Filing History:
Years Active: 2014-2025
Title: Innovations of James Balter in Medical Imaging
Introduction
James Balter is a prominent inventor based in Ann Arbor, MI (US), known for his significant contributions to the field of medical imaging. With a total of 3 patents, he has made strides in enhancing motion prediction and patient modeling through advanced imaging techniques.
Latest Patents
One of his latest patents is titled "Hierarchical motion modeling from dynamic magnetic resonance imaging." This invention relates to motion prediction in magnetic resonance (MR) imaging. In this approach, individual motion sources, such as a patient's breathing, heartbeat, and stomach contractions, are accounted for separately in the motion correction process. The method involves creating a reference state from a volume of interest (VOI) and deformably aligning other states to this reference state to correct for specific motion sources.
Another notable patent is "Patient modeling from multispectral input image volumes." This computer-implemented method generates patient models from multiple imaging contrast sources, specifically from magnetic resonance imaging without the need for computed tomography. The process includes acquiring various sets of image data representing a patient's volume, classifying tissue in each voxel using a classification algorithm, and generating a patient model based on probability distributions of the classified tissue types.
Career Highlights
James Balter is affiliated with the University of Michigan, where he continues to innovate in the field of medical imaging. His work has significantly impacted how motion and patient models are developed, leading to improved diagnostic capabilities in medical practice.
Collaborations
James has collaborated with notable colleagues, including Yue Cao and Yong Long, who have contributed to his research and development efforts in medical imaging technologies.
Conclusion
James Balter's innovative work in medical imaging, particularly in motion modeling and patient modeling, showcases his dedication to advancing healthcare technology. His contributions are vital in enhancing the accuracy and effectiveness of medical imaging techniques.