Mayank Patwari

Title: Innovations of Mayank Patwari in Image Reconstruction

Introduction

Mayank Patwari is an accomplished inventor based in Erlangen, Germany. He has made significant contributions to the field of image reconstruction through his innovative use of deep learning technologies. His work is particularly relevant in medical imaging, where precision and quality are paramount.

Latest Patents

Mayank Patwari holds a patent for a process that iteratively reconstructs images using deep learning. This computer-implemented method involves training neural networks to automatically tune projection filter parameters of a projection joint bilateral filter (JBF). The first trained neural network adjusts these parameters based on data from projections of an imaging procedure. Additionally, a second trained neural network tunes volume filter parameters of a volume JBF based on data from a volume that has been backward-projected from filtered projections. The output is a volume filtered by the volume JBF, which is presented as reconstructed images or volumes, provided that the filtered volume meets a predefined quality criterion.

Career Highlights

Mayank Patwari is currently employed at Siemens Healthineers AG, where he continues to develop innovative solutions in medical imaging. His expertise in deep learning and image processing has positioned him as a key player in advancing imaging technologies.

Collaborations

Some of his notable coworkers include Ralf Gutjahr and Rainer Raupach, who contribute to the collaborative environment at Siemens Healthineers AG.

Conclusion

Mayank Patwari's work exemplifies the intersection of technology and healthcare, showcasing how innovations in deep learning can enhance image reconstruction processes. His contributions are vital for improving the quality of medical imaging, ultimately benefiting patient care.