My research is focused at the detection, diagnosis, characterization, and treatment of disease through the integration of computational models into research and clinical practice.
Projects include the use of soft-tissue biomechanical computer models in conjunction with intraoperative data to compensate for deformation during image-guided brain, liver, and kidney surgery. The investigation of mechanical properties as biomarkers for cancer, and as an assessment tool for bone fracture healing. Other interests include radiofrequency ablation therapy and tumor growth models.
J. A. Weis, M. I. Miga, F. Granero-Molto, and A. Spagnoli, 'A finite element inverse analysis functional improvement during the fracture healing process', Journal of Biomechanics , Vol. 43, No. 3, pp. 557-562, 2010
P. Dumpuri, R. C. Thompson, A. Cao, S. Ding, I. Garg, B. M. Dawant, and M. I. Miga, 'A fast efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms', IEEE Transactions on Biome
S. L. Barnes, P. P. Young, M. I. Miga, 'A novel model-gel-tissue assay analysis for comparing tumor elastic properties to collagen content', Biomechanics and Modelling in Mechanobiology, Vol. 8, No. 4, pp. 337-343, 2009
C.C. R. Chen, M. I. Miga, and R. L. Galloway, 'Optimizing electrode placement using finite-element models in radiofrequency ablation treatment planning', IEEE Transactions on Biomedical Engineering, Vol. 56, No. 2, 2009
L. W. Clements, W. C. Chapman, B. M. Dawant, R. L. Galloway, and M. I. Miga, 'Robust surface registration using salient anatomical features for image-guided liver surgery: Algorithm and validation', Medical Physics, Vol. 35, No. 6, pp. 2528-2540, 2008