Michael Loecher

Title: Michael Loecher: Innovator in MRI Technology

Introduction

Michael Loecher, based in Santa Monica, CA, is an innovative inventor with a focus on advancements in magnetic resonance imaging (MRI). With a patent to his name, he has contributed significantly to the field of medical imaging through his unique approach in utilizing syntactically trained neural networks.

Latest Patents

Loecher's notable patent is titled "Synthetically trained neural network for MRI tag tracking." This invention outlines a comprehensive method for MRI tag tracking, which involves synthetically generating tagged data from natural images, combined with programmed tag motion and a full Bloch simulation. The process includes training a convolutional neural network (CNN) with the generated data to create grid tag motion paths. Subsequently, MRI images are acquired using a tagged imaging method, and the CNN utilizes these images to estimate motion paths of tracked points. This method enables the calculation of strain curves from the estimated motion paths, enhancing the understanding of cardiac cycles through tagged MRI images.

Career Highlights

Michael Loecher has worked with reputable institutions, including Leland Stanford Junior University and the United States Government as represented by the Department of Veteran Affairs. His professional journey illustrates his commitment to advancing medical technologies.

Collaborations

Throughout his career, Loecher has collaborated with various professionals, including his coworker, Daniel B. Ennis. This partnership has likely contributed to the advancements in his research and innovations in MRI technology.

Conclusion

Michael Loecher stands out as a forward-thinking inventor in the medical imaging industry. His patent on a syntactically trained neural network for MRI tag tracking not only underscores his innovative spirit but also enhances the capabilities of MRI technology, paving the way for future advancements in healthcare.