Dr. Sook Sam Leong 🎓🩻 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 🧠🔬. Her impactful work includes shear wave elastography, MRI training in VR, and fatty liver assessment via ultrasound 🧪💻. She has authored 20+ peer-reviewed articles in top journals 📚🌍 and received multiple awards 🏆 for innovation and scientific merit. A passionate educator and grant leader, Dr. Leong advances clinical imaging through research, mentorship, and international collaboration 🤝✨.
Dr SOOK SAM LEONG, UNIVERSITI TEKNOLOGI MARA, Malaysia
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🎓 Education
Dr. Sook Sam Leong 🎓 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 🥇, following her Master in Medical Science (Ultrasound) in 2013. Her academic journey began with a Diploma in Medical Radiography (2003) 🏥 from the same university. In 2007, she completed a B.Sc. in Radiographic Science at the University of Teesside with First Division Honors 🏆. She also trained at Jefferson Ultrasound Research and Education Institute (JUREI) in 2004, completing a Basic Abdominal Ultrasound Course 🔬📸.
👩⚕️Experience
Dr. Sook Sam Leong brings over 20 years of multidisciplinary clinical and academic experience in diagnostic imaging 🏥🩻. Starting as a Senior Radiographer at University of Malaya Medical Centre (2003–2021) and now a Senior Lecturer at Universiti Teknologi MARA (UiTM), she has specialized in ultrasound, CT, MRI, radiation protection, and digital radiography 💻🔬. She has served on ethics, program planning, and medical technology committees 🧠📊, and contributed as a consultant for Philips Ultrasound and Malaysia’s Ministry of Health. An accomplished educator 🎓, she has taught ultrasound and CT at leading universities, mentoring the next generation of radiology professionals 🧑🏫🌟.
🏆 Awards
Dr. Leong has earned multiple prestigious awards including the 🥇 Best Innovation Award (UiTM, 2023), 🥈 Best Researcher Award (2022), and 🎖️ Outstanding Scientific Merit Award (AACRT, 2023). Her accolades reflect her excellence in clinical imaging, innovation, and scientific impact. She also secured competitive research funding 💰, leading the FRGS grant (RM108,600, 2023–2025) 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 🧪📊👩⚕️.
🖥️ Expertise
Dr. Leong is a highly skilled expert in Ultrasound 🧪, Computed Tomography (CT) 🖥️, and General Radiography 📷, 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 🩺🧬. 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 🧠🌍.
🩻Contributions
Dr. Sook Sam Leong has significantly advanced ultrasound elastography, AI-assisted diagnostics, and clinical imaging 📊🧠. With over 20 WOS-indexed publications 📚 and an h-index of 11 📈, her research has revolutionized imaging for kidney disease, musculoskeletal disorders, and forensic applications 🧬🦴. As FRGS principal investigator, she explores stiffness biomarkers via shear wave elastography 💡. Her excellence is recognized with awards like AACRT 2025 Best Paper and UiTM Innovation Award 2023 🏅. Dr. Leong continues to impact global health through AI integration, collaborative research, and postgraduate mentorship 🌍🎓.
🔬 Research Focus
Dr. Sook Sam Leong’s 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 🤖📊. She also investigates radiation safety, forensic imaging, and VR-based MRI education 🛡️🧍⚕️. 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 🌍💡📈.
📚 Publications
2D shear wave elastography for the assessment of quadriceps entheses—a methodological study
👩🔬 SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, LSM Yamin, …
📘 Skeletal Radiology, 2024, Vol. 53(3), pp. 455–463
Application of entropies for automated diagnosis of abnormalities in ultrasound images: A review
👩🔬 Y Hagiwara, VK Sudarshan, SS Leong, A Vijaynanthan, KH Ng
📘 Journal of Mechanics in Medicine and Biology, 2017, Vol. 17(07), Article 1740012
Shear wave elastography in chronic kidney disease – the physics and clinical application
👩🔬 KH Ng, JHD Wong, SS Leong
📘 Physical and Engineering Sciences in Medicine, 2024, Vol. 47(1), pp. 17–29
THE ROLE OF SHEAR WAVE ELASTOGRAPHY IN POST-MORTEM CANINES
👩🔬 SS Leong, WK Ong, RR Azman, MNM Shah, A Vijayananthan, SF Lau
📘 Journal of Medical Imaging and Radiation Sciences, 2023, Vol. 54(3), Supplement S9
Dispersion patterns of scattered radiation exposure on phantom in CT fluoroscopy
👩🔬 SS Leong, N Azman, A Vijayananthan, JHD Wong
📘 Radiation Physics and Chemistry, 2025, Vol. 235, Article 112810
Defining normal enthesis stiffness range in a healthy adult population
👩🔬 MKJ Mahazer, SS Leong, JHD Wong, FI Rozalli, F Yahya, YC Tee, …
📘 British Journal of Radiology, 2025, Vol. 98(1167), Article 469–474
Quantifying canine tissue stiffness change patterns using shear-wave elastography: implications for time of death estimation
👩🔬 WK Ong, SS Leong, RR Azman, MN Md Shah, A Vijayananthan, SF Lau
📘 Australian Journal of Forensic Sciences, 2024, pp. 1–14