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Dr Leng Shuang

Ph.D., B.ENG

Profile

Dr Leng Shuang is currently Research Fellow in National Heart Centre Singapore and Instructor at Duke-NUS Medical School Singapore. Dr Leng received the bachelor’s degree (1st class honor) and Ph.D. degree from Nanyang Technological University Singapore in 2005 and 2011. Dr Leng’s expertise encompasses cardiac image processing and computer science and his research interests include analysis of cardiac MR, CT and 3D echo images, algorithm development for cardiac segmentation and quantitation of regional cardiac contractile function and strain, and application of AI for image analysis.

Dr Leng has published 36 papers in international peer-reviewed journals and more than 40 conference abstracts, invented two intellectual properties, and been awarded the SingHealth Duke-NUS Academic Medicine Research Grant. His research has received several Young Investigator Awards at regional/local conferences including ASEAN Federation of Cardiology Congress (2018), Singapore Cardiac Society Annual Scientific Meeting (2018, 2019), and IMPACT Biannual Scientific Symposium (2019).

Education

  • Ph.D. Nanyang Technological University Singapore 2011
  • B.ENG Nanyang Technological University Singapore 2005

Professional Appointments and Committee Memberships

Awards

  • Young Investigator Award, Third Prize, Singapore Cardiac Society Annual Scientific Meeting (2019)
  • Young Investigator Award, IMPACT Biannual Scientific Symposium (2019)
  • Young Investigator Award, First Prize, ASEAN Federation of Cardiology Congress (2018)
  • Young Investigator Award, First Prize, Singapore Cardiac Society Annual Scientific Meeting (2018)

Research Interests

  • Cardiac imaging
  • Cardiac MR, CT and 3D echo
  • Biomedical image and signal processing
  • Deep learning in cardiovascular applications

Publications

  • CMR-assessed fast global longitudinal strain parameters add diagnostic and prognostic insights in right ventricular volume and pressure loading disease conditions. Leng S, Tan RS, Guo JJ, Chai P, Zhang GC, Teo L, Ruan W, Yeo TJ, Zhao XD, Allen JC, Tan JL, Yip JW, Chen YC, Zhong L. J Cardiovasc Magn Reson. 2021 Apr;23(1):38.
  • Detection of persistent systolic and diastolic abnormalities in asymptomatic pediatric repaired tetralogy of Fallot patients with preserved ejection fraction: a CMR feature tracking study. Ouyang RZ*, Leng S*, Sun AM, Wang Q, Hu LW, Zhao XD, Yan Q, Tan RS, Zhong L, Zhong YM. *Joint first authors. Eur Radiol. 2021 Aug;31(8):6156-68.
  • Long-term prognostic value of cardiac MRI left atrial strain in ST-segment elevation myocardial infarction. Leng S, Ge H, He J, Kong JC, Yang YN, Yan FH, Xiu JC, Shan PR, Zhao SH, Tan RS, Zhao XD, Koh AS, Allen JC, Hausenloy DJ, Mintz GS, Zhong L, Pu J. Radiology. 2020 Aug;296(2):299-309.
  • Fast long-axis strain: a simple, automatic approach for assessing left ventricular longitudinal function with cine cardiovascular magnetic resonance. Leng S, Tan RS, Zhao XD, Allen JC, Koh AS, Zhong L. Eur Radiol. 2020 Jul;30(7):3672-83.
  • Impaired CMR-derived rapid semi-automated right atrial longitudinal strain is associated with decompensated hemodynamics in pulmonary arterial hypertension. Leng S, Dong Y, Wu Y, Zhao XD, Ruan W, Zhang GC, Allen JC, Koh AS, Tan RS, Yip JW, Tan JL, Chen YC, Zhong L. Circ Cardiovasc Imaging. 2019 May;12(5):e008582.
  • Validation of a rapid semi-automated method to assess left atrial longitudinal phasic strains on cine cardiovascular magnetic resonance imaging. Leng S, Tan RS, Zhao XD, Allen JC, Koh AS, Zhong L. J Cardiovasc Magn Reson. 2018 Nov;20(1):71.
  • Age-related changes in four-dimensional CMR-derived atrioventricular junction velocities and displacements: Implications for the identification of altered annular dynamics for ventricular function assessment. Leng S, Zhao XD, Koh AS, Zhao L, Allen JC, Tan RS, Ma XH, Zhong L. Int J Cardiol Heart Vasc. 2018 Nov;22:6-12.
  • Imaging 4D morphology and dynamics of mitral annulus in humans using cardiac cine MR feature tracking. Leng S, Zhang S, Jiang M, Zhao XD, Wu R, Allen J, He B, Tan RS, Zhong L. Sci Rep. 2018 Jan;8:81.
  • Three-dimensional tricuspid annular motion analysis from cardiac magnetic resonance feature-tracking. Leng S, Jiang M, Zhao XD, Allen JC, Kassab GS, Ouyang RZ, Tan JL, He B, Tan RS, Zhong L. Ann Biomed Eng. 2016 Dec;44(12):3522-38.
  • Automated quantitative assessment of cardiovascular magnetic resonance-derived atrioventricular junction velocities. Leng S, Zhao XD, Huang FQ, Wong JI, Su BY, Allen JC, Kassab GS, Tan RS, Zhong L. Am J Physiol Heart Circ Physiol. 2015 Dec;309(11):H1923-H1935.
  • The electronic stethoscope. Leng S, Tan RS, Chai KTC, Wang C, Ghista D, Zhong L. BioMedical Engineering OnLine. 2015 Jul;14:66.

Research Trials

  • Deep learning for detection of microvascular obstruction on non-contrast-enhanced cine cardiac magnetic resonance, 2020 – 2023.