This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: University of Michigan. Active years: 2010-2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2010-2015
Title: Lubomir M Hadjiiski: Innovator in Breast Cancer Detection
Introduction
Lubomir M Hadjiiski is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of medical imaging, particularly in the detection of breast cancer through advanced technologies. With a total of 2 patents, his work focuses on improving diagnostic methods that can lead to earlier and more accurate detection of breast cancer.
Latest Patents
Hadjiiski's latest patents include innovative methods for microcalcification detection of breast cancer on digital tomosynthesis mammograms. This computer-aided detection system is designed to identify clustered microcalcifications in digital breast tomosynthesis (DBT). The system performs detection in both 2D images and reconstructed 3D volumes. It utilizes an initial prescreening process that employs 3D calcification response function (CRF) values, modulated by an enhancement method, to pinpoint potential signals in the DBT volume. Additionally, microcalcifications can be enhanced using a Multi-Channel Enhancement method, allowing for better identification and extraction of potential microcalcifications. The system also incorporates object segmentation techniques that utilize region growing guided by enhancement-modulated CRF values, thereby reducing false positives through the analysis of microcalcification characteristics.
Another notable patent involves computerized detection of breast cancer on digital tomosynthesis mammograms. This method employs computer-aided diagnosis (CAD) for digital tomosynthesis mammograms (DTM). It includes retrieving a DTM image file with multiple image slices, applying a three-dimensional gradient field analysis to detect lesion candidates, and segmenting the volume of interest using a three-dimensional region growing method. The process culminates in the extraction of three-dimensional object characteristics to classify whether the object corresponds to a breast cancer lesion or normal breast tissue.
Career Highlights
Lubomir M Hadjiiski is affiliated with the University of Michigan, where he continues to advance research in medical imaging technologies. His work has been instrumental in enhancing the capabilities of breast cancer detection systems, contributing to improved patient outcomes.
Collaborations
Hadjiiski collaborates with esteemed colleagues, including Heang-Ping Chan and Jun Wei, who share his commitment to innovation in medical imaging.
Conclusion
Lubomir M Hadjiiski's contributions to breast cancer detection through his patented technologies exemplify the
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
