Location History:
- Manchester, MO (US) (2016 - 2021)
- St. Louis, MO (US) (2022)
Company Filing History:
Years Active: 2016-2022
Title: Innovations in Neuroimaging: The Contributions of Sheng-Kwei Song
Introduction
Sheng-Kwei Song is a prominent inventor based in Manchester, MO (US), known for his significant contributions to the field of neuroimaging. With a total of 3 patents, his work focuses on advanced imaging techniques that enhance the understanding of nerve function and pathologies.
Latest Patents
One of his latest patents, titled "Imaging nerve function and pathologies using diffusion basis spectrum imaging," explores how repetitive electrical activity can lead to microstructural alterations in myelinated axons. This innovative approach allows for non-invasive visualization of transient microstructural changes through two magnetic-resonance-based methods: diffusion fMRI and dynamic Tspectroscopy in ex vivo perfused bullfrog sciatic nerves. The diffusion fMRI technique effectively localizes sites of axonal conduction blockage, which is crucial in cases of neurotrauma or other lesion types. Additionally, his patent on "Diagnosis of central nervous system white matter pathology using diffusion MRI" outlines a method for performing diffusion basis spectrum imaging (DBSI) within patient tissue, utilizing diffusion magnetic resonance data to compute isotropic diffusion portions.
Career Highlights
Sheng-Kwei Song's career is marked by his association with Washington University, where he has made significant strides in neuroimaging research. His innovative techniques have the potential to revolutionize the diagnosis and understanding of various neurological conditions.
Collaborations
Throughout his career, Sheng-Kwei Song has collaborated with notable colleagues, including Qing Wang and Yong Wang, contributing to the advancement of neuroimaging technologies.
Conclusion
Sheng-Kwei Song's work in neuroimaging exemplifies the intersection of innovation and medical science. His patents and research continue to pave the way for improved diagnostic methods in neurology.