Vernon Hills, IL, United States of America

Ehod Elran


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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2 patents (USPTO):Explore Patents

Title: Ehod Elran: Innovator in Imaging Technology

Introduction

Ehod Elran is a notable inventor based in Vernon Hills, IL (US), recognized for his contributions to imaging technology. With a total of two patents to his name, Elran has made significant advancements in the field, particularly in the area of detection event grouping in imaging apparatuses.

Latest Patents

Elran's latest patents include a method and apparatus for using a parameterized cell-based circular sorting algorithm. This innovative method addresses the challenge of grouping detection events, which can include both primary detection events and secondary scattered events. Often, secondary scattered events are discarded, leading to reduced sensitivity in the dataset for image reconstruction. The method employs cell modules that are cascaded with identical parameterized cells in a pipeline fashion. The last cell in the chain circles back to the first cell, while a rotating data pointer indicates the location of the first entry in the cell pipeline. This approach enables real-time grouping of multiple samples of detector data without any loss of information, based on the time and location of the detected event. Furthermore, the method can be implemented in an FPGA as a hardware-based real-time process.

Career Highlights

Ehod Elran is currently employed at Canon Medical Systems Corporation, where he continues to develop innovative solutions in medical imaging technology. His work has contributed to enhancing the efficiency and effectiveness of imaging systems.

Collaborations

Elran has collaborated with talented coworkers, including Yi Qiang and Vishnu Balaraman, to further advance the technology in their field.

Conclusion

Ehod Elran's work in imaging technology exemplifies the impact of innovative thinking in enhancing medical imaging systems. His patents reflect a commitment to improving the accuracy and efficiency of detection event processing, which is crucial for effective image reconstruction.

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