Joint Professor of Pediatrics and Bioengineering
Office: HSB RR439A
I aim to change the way we image and quantify early human brain growth, which will lead to a better understanding of how brain anatomy and function develops before and shortly after birth. This objective ultimately can be achieved by identifying sensitive markers for developmental abnormalities in utero and brain injuries after premature birth, allowing earlier and more targeted remedial interventions.
MR image acquisition and reconstruction during subject motion,
Image resolution enhancement in structural and diffusion imaging
Algorithms for automated tissue segmentation and anatomical parcellation
Biomedical shape and pattern analysis,
Graph methods for studying network connectivity and its change over time.
Spatial statistics for brain mapping
Early human brain tissue growth patterns
The development of fetal brain functional and structural connectivity
The impact of genes and the environment on early brain development
Imaging biomarkers to improve the management of pregnancies and premature birth
My group develops and applies new computational and mathematical techniques to study and map the structure and function of the brain. In recent years we have been most active in using MRI to study human brain growth to better understand early stages of the development of the brain and how these may be influenced by factors such as premature birth. Our work ranges from basic computing and engineering to its application in neuroscience and clinical radiology. The engineering problems we are currently addressing include retrospective motion correction of fetal MRI, brain shape analysis, the construction of spatio-temporal atlases of brain growth and cortical folding, and the development of bio-markers for the clinical assessment of pregnancies and premature neonatal health.
PhD, University of London, England, 1997
Msc, Edinburgh University, Scotland, 1991
BEng, Bradford University, England, 1990
Post Doctoral Fellow/Associate, Diagnostic Radiology, Yale, USA, 1998-2000
V. Rajagopalan, J. Scott, P.A. Habas, K. Kim, F. Rousseau, A.J. Barkovich, O.A. Glenn, C. Studholme, “Mapping directionality specific volume changes using tensor based morphometry: An application to the study of gryrogenesis and lateralization of the human fetal brain,” NeuroImage, Volume 63, Issue 2, 1 November 2012, Pages 947-958.
P. A. Habas, J. A. Scott, A. Roosta, V. Rajagopalan, K. Kim, F. Rousseau, A. J. Barkovich, O. A. Glenn, and C. Studholme, “Early folding patterns and asymmetries of the normal human brain detected from in utero MRI,”, Cereb. Cortex, vol. 22, no. 1, pp. 13-25, 2012.
C. Studholme, “Mapping fetal brain development in utero using MRI: the big bang of brain mapping,” Annu. Rev. Biomed. Eng., vol. 13, no. 1, pp. 345-368, August 2011.
V. Rajagopalan, J. A. Scott, P. A. Habas, J. M. Corbett-Detig, K. Kim, F. Rousseau, A. J. Barkovich, O. A. Glenn, and C. Studholme, “Local tissue growth patterns underlying normal fetal human brain gyrification quantified in utero,” J. Neurosci., vol. 31, no. 8, pp. 2878-2887, February 2011.
P. A. Habas, K. Kim, J. M. Corbett-Detig, F. Rousseau, O. A. Glenn, A. J. Barkovich, and C. Studholme, A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation,” Neuroimage, vol. 53, no. 2, pp. 460-470, November 2010.
K. Kim, P. A. Habas, F. Rousseau, O. A. Glenn, A. J. Barkovich, and C. Studholme, “Intersection based motion correction of multislice MRI for 3-D in utero fetal brain image formation,” IEEE Trans. Med. Imaging, vol. 29, no. 1, pp. 146-158, January 2010.
C. Studholme, “Dense Feature Deformation Morphometry: Incorporating DTI Data into Conventional MRI Morphometry”, Medical Image Analysis, Volume 12, Issue 6, December 2008, Pages 742-751 2008.
F. Rousseau, O. Glenn, B. Iordanova, Cl. Rodriguez, D. Vigneron, J. Barkovich, C. Studholme, Registration Based Approach for Reconstruction of High Resolution In Utero MR Brain Images, Academic Radiology, 13(9), Sept 2006, pp 1072-1081.
C. Drapaca, V. Cardenas, C. Studholme, “Segmentation of Tissue Boundary Evolution from Brain MR Image Sequences using Multi-phase Level Sets”, Computer Vision and Image Understanding, volume 100, 2005, pages 312-329.
C.Studholme, V. Cardenas, “A Template Free Approach to Volumetric Spatial Normalisation of Brain Anatomy”, Pattern Recognition Letters, Vol 25(10), Jul 2004, pp. 1191-1202.
C.Studholme, V. Cardenas, R. Blumenfeld, N. Schuff, H.J. Rosen, B. Miller, M. Weiner, “A Deformation Tensor Morphometry Study of Semantic Dementia with Quantitative Validation”, NeuroImage, Vol 21, pp 1387-1398, April 2004.
C. Studholme, E. Novotny, I.G. Zubal, J.S. Duncan, Estimating Tissue Deformation Between Functional Images Induced by Intracranial Electrode Implantation Using Anatomical MRI, NeuroImage, Vol 13(4), pp 561-576, 2001.
C. Studholme, T.C. Constable, J.S. Duncan, Non-Rigid Spin Echo MRI Registration Incorporating an Image Distortion Model: Application to Accurate Alignment of fMRI to Conventional MRI, IEEE Trans. Med. Imaging, Vol 19, No 11. Nov 2000.
C. Studholme, D.L.G.Hill, D.J. Hawkes, An Overlap Invariant Entropy Measure of 3D Medical Image Alignment, Pattern Recognition, Vol. 32(1), Jan 1999, pp 71-86.
C.Studholme, D.L.G.Hill, D.J. Hawkes, Automated 3-D Registration of MR and CT Images of the Head, Medical Image Analysis, Vol. 1(2)., 1996, pp 163-175.
D.L.G. Hill, D.J. Hawkes, T.C.S. Cox, A.J. Strong, W.L. Wong, C.F. Ruff, N. Kitchen, D.G.T. Thomas, J.E. Cross-man, C. Studholme, A.J. Gandhe, S.E.M. Green, G.P. Robinson, Accurate Frameless Registration of MR and CT Images of the Head: Applications in Surgery and Radiotherapy Planning, Radiology, 191, 1994, pp 447-454.