Jianhua Ma

Title: Innovations of Jianhua Ma in X-ray Computed Tomography

Introduction

Jianhua Ma is a prominent inventor based in Stony Brook, NY (US). He has made significant contributions to the field of X-ray computed tomography, holding 2 patents that showcase his innovative approaches to image reconstruction.

Latest Patents

One of Jianhua Ma's latest patents is titled "Iterative reconstruction for X-ray computed tomography using prior-image induced nonlocal regularization." This patent discloses a method for performing X-ray Computed Tomography scanning, which includes acquiring multiple images of an object, obtaining an initial image, and calculating the NonLocal weight of the initial image. The method utilizes a current image estimation and a registered prior image, performing successive over-relaxation optimization to yield a new image estimation. The process generates an image of the object and outputs a resultant image.

Another notable patent is the "Computerized image reconstruction method and apparatus." This invention provides a computerized image reconstruction apparatus and method that records projection path information and energy loss information of particles traversing an object being imaged. It determines an estimated image based on this information, utilizing various cost functions to update the estimated image and produce a final image according to a predetermined threshold.

Career Highlights

Jianhua Ma is affiliated with The State University of New York, where he continues to advance research in imaging technologies. His work has significantly impacted the field, particularly in enhancing the accuracy and efficiency of X-ray imaging techniques.

Collaborations

Jianhua has collaborated with notable colleagues, including Hao Han and Zhengrong Liang, contributing to various research projects and innovations in the field of computed tomography.

Conclusion

Jianhua Ma's contributions to X-ray computed tomography through his innovative patents reflect his expertise and dedication to advancing imaging technologies. His work continues to influence the field and improve diagnostic capabilities.