Location History:
- St Leonards, AU (2017 - 2019)
- Surry Hills, AU (2017 - 2020)
Company Filing History:
Years Active: 2017-2020
Title: Innovations of Andrew Docherty
Introduction
Andrew Docherty is a notable inventor based in St. Leonards, Australia. He has made significant contributions to the field of imaging technology, holding a total of five patents. His work primarily focuses on methods that enhance image registration and segmentation in medical imaging.
Latest Patents
One of Docherty's latest patents is an image registration method that adjusts a displacement field relating positions of pixels between at least two images. This method involves associating each pixel of the first and second images with a label and mapping a first pixel in the first image to a second pixel in the second image based on a vector of the initial displacement field. The process includes determining a covariance score for a set of third pixels, which helps in refining the adjustment shift vector based on statistical dependencies.
Another significant patent is related to robust segmentation of the retinal pigment epithelium layer. This method identifies multiple regions using captured image data of the eye and fits a curve into these regions. A curve score is determined based on the distance between the fitted curve and the regions, allowing for the classification of some regions as part of the retinal pigment epithelium.
Career Highlights
Andrew Docherty is currently employed at Canon Kabushiki Kaisha, where he continues to innovate in imaging technologies. His work has been instrumental in advancing methods that improve the accuracy and reliability of medical imaging.
Collaborations
Docherty has collaborated with notable coworkers, including Barry James Drake and James Austin Besley. Their combined expertise has contributed to the development of advanced imaging techniques.
Conclusion
Andrew Docherty's contributions to imaging technology through his patents reflect his dedication to innovation in the field. His work continues to impact medical imaging, enhancing the capabilities of image analysis and segmentation.