Dr SOOK SAM LEONG | Materials Science | Best Researcher Award
Dr. Sook Sam Leong ๐๐ฉป is a Senior Lecturer and Clinical Researcher at Universiti Teknologi MARA, Malaysia. With over 20 years of experience in diagnostic imaging, she specializes in medical ultrasound, renal imaging, radiation safety, and AI in radiology ๐ง ๐ฌ. Her impactful work includes shear wave elastography, MRI training in VR, and fatty liver assessment via ultrasound ๐งช๐ป. She has authored 20+ peer-reviewed articles in top journals ๐๐ and received multiple awards ๐ for innovation and scientific merit. A passionate educator and grant leader, Dr. Leong advances clinical imaging through research, mentorship, and international collaboration ๐คโจ.
Dr SOOK SAM LEONG, UNIVERSITI TEKNOLOGI MARA, Malaysia
Profile
๐ Education
Dr. Sook Sam Leong ๐ has a distinguished academic background in medical imaging and ultrasound. She earned her PhD in Medical Ultrasound with Distinction from the University of Malaya in 2020 ๐ฅ, following her Master in Medical Science (Ultrasound) in 2013. Her academic journey began with a Diploma in Medical Radiography (2003) ๐ฅ from the same university. In 2007, she completed a B.Sc. in Radiographic Science at the University of Teesside with First Division Honors ๐. She also trained at Jefferson Ultrasound Research and Education Institute (JUREI) in 2004, completing a Basic Abdominal Ultrasound Course ๐ฌ๐ธ.
๐ฉโโ๏ธExperience
Dr. Sook Sam Leong brings over 20 years of multidisciplinary clinical and academic experience in diagnostic imaging ๐ฅ๐ฉป. Starting as a Senior Radiographer at University of Malaya Medical Centre (2003โ2021) and now a Senior Lecturer at Universiti Teknologi MARA (UiTM), she has specialized in ultrasound, CT, MRI, radiation protection, and digital radiography ๐ป๐ฌ. She has served on ethics, program planning, and medical technology committees ๐ง ๐, and contributed as a consultant for Philips Ultrasound and Malaysiaโs Ministry of Health. An accomplished educator ๐, she has taught ultrasound and CT at leading universities, mentoring the next generation of radiology professionals ๐งโ๐ซ๐.
๐ Awardsย
Dr. Leong has earned multiple prestigious awards including the ๐ฅ Best Innovation Award (UiTM, 2023), ๐ฅ Best Researcher Award (2022), and ๐๏ธ Outstanding Scientific Merit Award (AACRT, 2023). Her accolades reflect her excellence in clinical imaging, innovation, and scientific impact. She also secured competitive research funding ๐ฐ, leading the FRGS grant (RM108,600, 2023โ2025) and multiple university-backed projects. Her recognition spans oral presentations, poster excellence, and quality improvement awards, demonstrating sustained excellence across academic, clinical, and translational domains ๐งช๐๐ฉโโ๏ธ.
๐ฅ๏ธ Expertiseย
Dr. Leong is a highly skilled expert in Ultrasound ๐งช, Computed Tomography (CT) ๐ฅ๏ธ, and General Radiography ๐ท, with over two decades of experience in clinical diagnostics and medical education. Her work in ultrasound imaging includes cutting-edge research in shear wave elastography and attenuation techniques. She applies CT and radiographic methods in evaluating complex clinical cases, including renal and hepatic conditions ๐ฉบ๐งฌ. Her commitment to precision, safety, and innovation in radiological sciences positions her as a leading voice in advancing diagnostic imaging technologies for enhanced patient care and training ๐ง ๐.
๐ฉปContributions
Dr. Sook Sam Leong has significantly advanced ultrasound elastography, AI-assisted diagnostics, and clinical imaging ๐๐ง . With over 20 WOS-indexed publications ๐ and an h-index of 11 ๐, her research has revolutionized imaging for kidney disease, musculoskeletal disorders, and forensic applications ๐งฌ๐ฆด. As FRGS principal investigator, she explores stiffness biomarkers via shear wave elastography ๐ก. Her excellence is recognized with awards like AACRT 2025 Best Paper and UiTM Innovation Award 2023 ๐ . Dr. Leong continues to impact global health through AI integration, collaborative research, and postgraduate mentorship ๐๐.
๐ฌ Research Focus
Dr. Sook Sam Leongโs research is centered on enhancing diagnostic accuracy using Ultrasound and Computed Tomography (CT). Her work explores cutting-edge methods like shear wave elastography for tissue stiffness evaluation, attenuation imaging for fatty liver detection, and the integration of AI and machine learning in radiological interpretation ๐ค๐. She also investigates radiation safety, forensic imaging, and VR-based MRI education ๐ก๏ธ๐งโโ๏ธ. Bridging clinical application with research, her contributions support early disease detection, patient safety, and medical education, driving innovation in non-invasive diagnostics and multidisciplinary healthcare delivery ๐๐ก๐.
๐ Publications
2D shear wave elastography for the assessment of quadriceps enthesesโa methodological study
๐ฉโ๐ฌ SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, LSM Yamin, …
๐ Skeletal Radiology, 2024, Vol. 53(3), pp. 455โ463
Application of entropies for automated diagnosis of abnormalities in ultrasound images: A review
๐ฉโ๐ฌ Y Hagiwara, VK Sudarshan, SS Leong, A Vijaynanthan, KH Ng
๐ Journal of Mechanics in Medicine and Biology, 2017, Vol. 17(07), Article 1740012
Shear wave elastography in chronic kidney disease โ the physics and clinical application
๐ฉโ๐ฌ KH Ng, JHD Wong, SS Leong
๐ Physical and Engineering Sciences in Medicine, 2024, Vol. 47(1), pp. 17โ29
THE ROLE OF SHEAR WAVE ELASTOGRAPHY IN POST-MORTEM CANINES
๐ฉโ๐ฌ SS Leong, WK Ong, RR Azman, MNM Shah, A Vijayananthan, SF Lau
๐ Journal of Medical Imaging and Radiation Sciences, 2023, Vol. 54(3), Supplement S9
Dispersion patterns of scattered radiation exposure on phantom in CT fluoroscopy
๐ฉโ๐ฌ SS Leong, N Azman, A Vijayananthan, JHD Wong
๐ Radiation Physics and Chemistry, 2025, Vol. 235, Article 112810
Defining normal enthesis stiffness range in a healthy adult population
๐ฉโ๐ฌ MKJ Mahazer, SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, …
๐ British Journal of Radiology, 2025, Vol. 98(1167), Article 469โ474
Quantifying canine tissue stiffness change patterns using shear-wave elastography: implications for time of death estimation
๐ฉโ๐ฌ WK Ong, SS Leong, RR Azman, MN Md Shah, A Vijayananthan, SF Lau
๐ Australian Journal of Forensic Sciences, 2024, pp. 1โ14