Dr. Muhammad Arif

Muhammad Arif

Office: Na 25-06
Phone: +31-10-7044886
Email: a.muhammad@erasmusmc.nl
Website: Google Scholar, LinkedIn

Curriculum Vitae

Muhammad Arif graduated in Medical Imaging at the Royal Institute of Technology,Stockholm Sweden in 2011. In 2016 he received his PhD at Physics and Urodynamic Research group, Sector FURORE of Erasmus Medical Center Rotterdam, the Netherlands. Subject of his thesis was Non-Invasive Ultrasonic Diagnosis of Bladder Outlet Obstruction. Since Feb 2016, he his is working as a postdoc/Scientific Researcher at the Department of Radiology and Medical Informatics, Biomedical Imaging Group (BIGR) Rotterdam.

Research lines

Projects

Publications

Theses

  1. Arif, M. (2016). Non-Invasive Ultrasonic Diagnosis of Urinary Bladder Outlet Obstruction: Niet-invasieve diagnose van urineblaasobstructie met behulp van ultrageluid (PhD thesis). Erasmus MC: University Medical Center Rotterdam.

Journal Articles

  1. Arif, M., Moelker, A., & van Walsum, T. (2018). Needle tip visibility in 3D ultrasound images. Cardiovascular and Interventional Radiology, 41(1), 145–152.
  2. Arif, M., Groen, J., Boevé, E. R., de Korte, C. L., Idzenga, T., & van Mastrigt, R. (2016). Noninvasive Diagnosis of Bladder Outlet Obstruction in Patients with Lower Urinary Tract Symptoms Using Ultrasound Decorrelation Analysis. The Journal of Urology, 196(2), 490–497.
  3. Arif, M. (2016). Non-Invasive Ultrasonic Diagnosis of Urinary Bladder Outlet Obstruction.
  4. Arif, M., Idzenga, T., de Korte, C. L., & van Mastrigt, R. (2015). Dependence of ultrasound decorrelation on urine scatter particle concentration for a non-invasive diagnosis of bladder outlet obstruction. Neurourology and Urodynamics, 34(8), 781–786.
  5. Arif, M., Idzenga, T., de Korte, C. L., & van Mastrigt, R. (2015). Development of a noninvasive method to diagnose bladder outlet obstruction based on decorrelation of sequential ultrasound images. Urology, 85(3), 648–652.
  6. Arif, M., Idzenga, T., van Mastrigt, R., & de Korte, C. L. (2015). Diagnosing bladder outlet obstruction using non-invasive decorrelation-based ultrasound imaging: a feasibility study in healthy male volunteers. Ultrasound in Medicine & Biology, 41(12), 3163–3171.
  7. Idzenga, T., Arif, M., Mastrigt, R., & Korte, C. L. (2015). Noninvasive estimation of the pressure profile in the male urethra using ultrasound imaging. Medical Physics, 42(4), 1745–1752.
  8. Arif, M., Idzenga, T., van Mastrigt, R., & de Korte, C. L. (2014). Estimation of urinary flow velocity in models of obstructed and unobstructed urethras by decorrelation of ultrasound radiofrequency signals. Ultrasound in Medicine & Biology, 40(5), 938–946.

Conference Articles

  1. Arif, M., van Mastrigt, R., Idzenga, T., & de Korte, C. L. (2014). Dependence of ultrasound decorrelation on urine scatter particle concentration. In Ultrasonics Symposium (IUS), 2014 IEEE International (pp. 1873–1875). IEEE.
  2. Arif, M., Idzenga, T., L de Korte, C., & van, M. R. (2013). Decorrelation of ultrasound RF-signals for a non-invasive diagnosis of bladder outlet obstruction. In Neurourology and Urodynamics (Vol. 32, pp. 752–754). WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA.
  3. Idzenga, T., Arif, M., van Mastrigt, R., & de Korte, C. (2013). ULTRASOUND DEFORMATION IMAGING IN THE LOWER URINARY TRACT TO ESTIMATE PRESSURE IN THE URETHRA. In NEUROUROLOGY AND URODYNAMICS (Vol. 32, pp. 641–642). WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA.
  4. Idzenga, T., Arif, M., van Mastrigt, R., & de Korte, C. (2012). ULTRASOUND STRAIN IMAGING IN THE LOWER URINARY TRACT DURING VOIDING AS A TOOL FOR DIAGNOSING BOO. In NEUROUROLOGY AND URODYNAMICS (Vol. 31, pp. 933–934). WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA.
  5. Van Straten, M., Arif, M., & Van Mastrigt, R. (2012). CAN BLADDER OUTLET OBSTRUCTION BE DIAGNOSED FROM THE URETHRAL CROSS-SECTIONAL AREA ESTIMATED BY ULTRASOUND IMAGING? In NEUROUROLOGY AND URODYNAMICS (Vol. 31, pp. 841–843). WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA.
  6. Magnusson, M., Malusek, A., Muhammad, A., & Carlsson, G. A. (2011). Iterative reconstruction for quantitative tissue decomposition in dual-energy CT. In Scandinavian Conference on Image Analysis (pp. 479–488). Springer, Berlin, Heidelberg.