Imaging Science Seminar: CEST MRI for Stroke and Cancer Diagnosis

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imaging science seminar tee yee kai

Chemical Exchange Saturation Transfer (CEST) Magnetic Resonance Imaging (MRI) for Stroke and Cancer Diagnosis

Dr. Tee Yee Kai
Assistant Professor
Lee Kong Chian Faculty of Engineering and Science
Universiti Tunku Abdul Rahman (UTAR), Malaysia

Register Here for Zoom Link


Abstract
:

CEST MRI allows the detection of labile protons in our body that has a concentration much lower than the water protons which consists of about 70 – 80% of our body. Conventionally, MRI is used to detect the water signal because they are abundant in the body. The introduction of CEST MRI allows the indirect detection of labile protons that are previously undetected by MRI. The detected CEST MRI signal has been shown to have better potential than the current clinical practice in identifying tissue at risk after an ischemic stroke and in grading tumour, differentiating tumour regrowth and radiation necrosis, and measuring extracellular pH of tumour microenvironment. In this talk, CEST MRI will be introduced and shown how it can be used to improve stroke and cancer diagnosis.

Speaker Bio:
I am an assistant professor at the Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman (UTAR), Malaysia. I did my Phd and postdoc at Oxford University, working on CEST MRI. This imaging technique has obtained some novel breakthroughs in animal model but several hardware and regulatory limitations have prevented it from becoming a routine clinical tool to aid decision making for stroke and cancer management. My works mainly focus on providing the technical capability and necessary analysis to assess the clinical utility of CEST MRI. I am also interested in extracting sound information from negligible object vibrations in imagery/video. My work focuses on analyzing and magnifying the negligible object vibrations in a video to recover sound to provide the users the ability to recover sound when necessary despite not having any audio input. With the existence of a robust algorithm to analyze the negligible object vibrations and convert them to sound, suddenly millions of the installed CCTVs will not only have “eyes”, but also “ears” to assist in scientific evidence collection during an investigation.

Intended Audience:
Beginners, undergraduates, graduates. Those with interest in the topic.


Contact
Marci Sanders-Arnett
Event Snapshot
When and Where
October 14, 2020
3:30 pm - 4:30 pm
Room/Location: See Zoom Registration Link
Who

This is an RIT Only Event

Interpreter Requested?

No

Topics
imaging science
research