Francisco A Grunbaum

Title: Francisco A. Grunbaum: Innovator in Imaging Technology

Introduction

Francisco A. Grunbaum is a notable inventor based in Berkeley, California. He has made significant contributions to the field of imaging technology, particularly through his innovative patent that enhances the way images of the interior of objects are generated. His work is characterized by a deep understanding of radiation and its interaction with materials.

Latest Patents

Grunbaum holds a patent for an "Imaging system and method using scattered and diffused radiation." This patent describes a sophisticated imaging system that generates images of the interior of an object by utilizing radiation that is both attenuated and scattered. The system operates by radiating the object at multiple points near its exterior and measuring the radiation that emerges from various exit points. The interior is modeled as an array of volume elements known as voxels, each with specific scattering and attenuation properties. The system computes the intensity of radiation expected to emerge based on assigned values for these properties, and it minimizes the error between measured and computed intensities through a gradient descent methodology. This process results in a series of images that depict the interior characteristics of the object.

Career Highlights

Grunbaum is associated with Singer Imaging, Inc., where he applies his expertise in imaging technology. His innovative approach has led to advancements in how internal structures of objects can be visualized, which has implications in various fields, including medical imaging and material science.

Collaborations

Grunbaum has worked alongside notable colleagues such as Jerome R. Singer and Philip D. Kohn. Their collaborative efforts have contributed to the development of advanced imaging techniques and technologies.

Conclusion

Francisco A. Grunbaum's contributions to imaging technology through his innovative patent demonstrate his commitment to advancing the field. His work not only enhances our understanding of internal structures but also paves the way for future innovations in imaging systems.