Sunnyvale, CA, United States of America

Mark B Ivey


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2011

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2 patents (USPTO):

Title: Mark B Ivey: Innovator in Mammographic Technology

Introduction

Mark B Ivey is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of mammographic technology, particularly in developing user-selectable and user-definable scanning protocols. His work has led to advancements that enhance the efficiency and accuracy of mammographic data processing.

Latest Patents

Mark B Ivey holds two patents that focus on systems and methods for processing mammographic data. His latest patents include a user-selectable and user-definable scanning protocol in a mammographic film scanning system with a stack film feeder. This innovative system allows users to define scanning protocols that identify the laterality and view type for each mammographic film in a film case. The system includes a user input/output system, a storage system for user-defined protocols, and a scanning system that generates digitized versions of each film. Additionally, the processor assigns laterality and view types according to the user-defined protocols and processes the digitized versions using computer-aided detection algorithms to identify anatomical abnormalities.

Career Highlights

Mark B Ivey is currently employed at Hologic, Inc., where he continues to develop innovative solutions in mammography. His work has been instrumental in improving the capabilities of mammographic systems, making them more user-friendly and efficient.

Collaborations

Mark has collaborated with notable colleagues such as Julian Marshall and Brian T Matuska. These collaborations have contributed to the advancement of technology in the field of mammography.

Conclusion

Mark B Ivey's contributions to mammographic technology through his patents and work at Hologic, Inc. highlight his role as an innovator in the field. His advancements in user-defined scanning protocols have the potential to significantly improve mammographic data processing and detection of anatomical abnormalities.

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