This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignees: Ge Precision Healthcare LLC, Purdue Research Foundation, University of Notre Dame Du Lac. Active years: 2025-2026.
Company Filing History:
3 out of 1,391 
3 out of 2,767 
3 out of 385 
Years Active: 2025-2026
Title: Obaidullah Rahman: Innovator in X-ray Computed Tomography
Introduction
Obaidullah Rahman is a notable inventor based in South Bend, Indiana. He has made significant contributions to the field of medical imaging, particularly in the area of X-ray computed tomography. His innovative work focuses on enhancing image resolution while preserving noise characteristics.
Latest Patents
Obaidullah Rahman holds a patent for "Noise preserving models and methods for resolution recovery of x-ray computed tomography images." This patent describes a system that utilizes a memory to store computer-executable components and a processor to execute these components. The system includes a pair generation component that creates a pair of images, consisting of an input image and a ground truth image. Additionally, a training component trains a machine learning-based sharpening algorithm to minimize the error between a sharpened image and the ground truth image. The sharpening component then uses this algorithm to enhance the input image, resulting in a sharpened image that maintains a noise level similar to that of the original input image.
Career Highlights
Throughout his career, Obaidullah Rahman has worked with prominent organizations such as GE Precision Healthcare LLC and Purdue Research Foundation. His experience in these companies has allowed him to develop and refine his innovative ideas in medical imaging technology.
Collaborations
Obaidullah has collaborated with talented individuals in his field, including Roman Melnyk and Madhuri Mahendra Nagare. These collaborations have contributed to the advancement of his research and the successful development of his patented technologies.
Conclusion
Obaidullah Rahman's contributions to the field of X-ray computed tomography exemplify the impact of innovation in medical imaging. His work not only enhances image quality but also preserves essential noise characteristics, paving the way for improved diagnostic capabilities.