Md Ashequr Rahman

Title: Md Ashequr Rahman: Advancing Quantitative SPECT Imaging

Introduction

Md Ashequr Rahman is an inventor based in St. Louis, Missouri, whose patent work focuses on computational methods for single-photon emission computed tomography (SPECT). His inventions address image denoising and quantitative imaging, including approaches designed to work with low-count data. He is associated with Washington University and has 2 patents.

Latest Patents

Systems and Methods for a Task-Specific Deep-Learning-Based Denoising Approach for Myocardial Perfusion SPECT. This invention describes a computer-based system that applies a trained model to medical imaging data. The model denoises a scan while accounting for an observer loss function, then outputs a denoised scan. The patent description refers to SPECT, although its processing steps specifically describe a CT scan.

Systems and Methods for Low-Count Quantitative Projection Domain SPECT Imaging. This invention presents a system for low-count quantitative SPECT imaging. It uses a CT scan to define volumes of interest and model the likelihood that photons from those volumes will be detected in projection bins. The system adjusts its model to account for stray-radiation noise and uses detected photons to determine their source volume of interest.

Career Highlights

Rahman’s listed patents apply computational modeling and machine learning to challenges in medical imaging. Together, they address denoising and quantitative analysis, with the latter designed for imaging conditions involving low photon counts. His work is associated with Washington University.

Collaborations

Rahman’s listed coworkers include Abhinav Kumar Jha and Zekun Li. Their names provide context for the research community connected with his patent work.

Conclusion

Md Ashequr Rahman’s two listed patents focus on improving SPECT imaging through task-specific denoising and low-count quantitative analysis, reflecting his contributions to computational medical imaging.