Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

Mehdi Moradi, PhD (September 2011-March 2012)

Mehdi Moradi, PhD
Research Scientist
Surgical Planning Laboratory
Department of Radiology
Brigham and Women's Hospital and Harvard Medical School
E-mail: moradi at bwh.harvard.edu

Dr Moradi completed his PhD in biomedical computing at Queen's University, Kingston, Ontario in 2008. He has since served as a research associate at the University of British Columbia, and a lecturer of biomedical engineering at Simon Fraser University in Vancouver, Canada. He joined SPL in 2011 as a visiting research scientist.

Broad Research Interests:
Image-guided therapy and diagnosis
Machine learning in medical image analysis
Multimodality and multiparametric imaging

Some of the main contributions:

Ultrasound RF time series analysis for tissue typing:
- M. Moradi, Purang Abolmaesumi, Robert Siemens, Eric Sauerbrei, Alexander Boag, Parvin Mousavi, Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series, IEEE Transactions on Biomedical Engineering, vol. 56, no. 9, pp. 2214-2224, 2009 (featured as the cover story).

- M. Moradi, P. Mousavi, P. Abolmaesumi. Tissue typing using ultrasound RF time series: Experiments with animal tissue samples, Medical Physics, vol. 37, no. 8, pp 1401-1413, 2010.

Prostate cancer probability maps using SVM-based classification of multiparametric MRI:
- M. Moradi, S. E. Salcudean, S. D. Chang, E. C. Jones, S. L. Goldenberg, and P. Kozlowski, “Prostate Cancer Probability Estimation Based on DCE-DTI Features and Support Vector Machine Classification,” Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), pp 2638, 2011.

- M. Moradi S.E. Salcudean, S.D. Chang, E.C. Jones, N. Buchan, R.G. Casey, S. L. Goldenberg, P. Kozlowski, "Multiparametric MRI maps for detection and grading of dominant prostate tumors", J Magn Reson Imaging. 2012 Jan 20. doi: 10.1002/jmri.23540. [Epub ahead of print]

Ultrasound elastography as a tool for visualizing the prostate gland during interventions:
- S. S. Mahdavi, M. Moradi, X. Wen, W. J. Morris, and S. E. Salcudean. Evaluation of Visualization of the Prostate Gland in Vibro-elastography Images. Medical Image Analysis, vol. 15, no. 4, pp. 589–600, 2011.

Solutions for real-time dosimetry in prostate brachytherapy:
M. Moradi, S. Mahdavi, S. Deshmukh, J Lobo, E. Dehghan, G. Fichtinger, W. J. Morris, S. E. Salcudean. Towards intra-operative prostate brachytherapy dosimetry based on partial seed localization in ultrasound and registration to C-arm fluoroscopy. In: G. Fichtinger, A. Martel, and T. Peters (Eds.): Medical Image Computing and Computer Assisted Interventions, MICCAI 2011, Part I, LNCS 6891, pp. 291–298, 2011.

updated September 23, 2011.

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