学术报告

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9月23日 Dr.Long Yong学术报告

发布时间:2013-09-10

题 目:Model-Based Image Reconstruction for Biomedical Imaging

报告人:Dr. Yong Long
(GE Global Research)

时 间: 9月23日(周一) 下午4:00-5:00

地 点: 数学楼104室

Abstract:
Biomedical imaging techniques create images of objects of interest from the human body or part of it to cellular objects or features. Images and their derived analyses are effective tools in the diagnosis and management of human diseases and disorders, the advancement of biological technologies, and the development of next generation materials. Model-based image reconstruction (MBIR) iteratively finds the image that best fits the measurement, according to the system physical model, the measurement statistical model and prior information about the object. Compared with conventional methods, MBIR improves image quality and reduces noise due to its accurate modeling. MBIR has played an essential role in the evolution of medical imaging techniques, such as positron emission tomography (PET), X-ray computed tomography (CT) and magnetic resonance imaging (MRI).
In this talk, I will present a MBIR method that reconstructs images of multiple basis materials, such as fat, blood, bone and iodine-based contrast agent, using dual-energy CT (DECT) scans. This is the first study of its kind, and represents groundbreaking work that will be important to the field. I will identify a set of realistic physical assumptions, apply compressed sensing theory, and utilize MBIR techniques to surpass the physical and theoretic limitation that only two basis materials can be accurately reconstructed from DECT measurements. Finally, I will discuss the great potential of MBIR to revolutionize optical microscopy, in terms of the tradeoff between image accuracy and signal-to-noise ratio.

欢迎有兴趣的师生前来参加!