Analysis of growth in the developing brain using non-rigid registration
作者： P. Aljabar , K.K. Bhatia , J.V. Hajnal , J.P. Boardman , L. Srinivasan
DOI: 10.1109/ISBI.2006.1624887
关键词: Atlas (anatomy) 、 Visualization 、 Medical imaging 、 Computer science 、 Transformation (function) 、 Artificial intelligence 、 Image registration 、 Computer vision 、 Coordinate system 、 Atlas (topology) 、 Pattern recognition
摘要: This work describes and compares two different methods for identifying growth patterns in preterm infants during the second year of development. One method is based on creating anatomical atlases from population subjects within each timepoint using transformation between at timepoints to create average volume change maps. The uses multiple longitudinal intra-subject registrations produce individual These maps are then transformed into a common coordinate system averaged with used atlas creation. We show that there reasonable level agreement both generate plausible implying either could be track development this period growth.
sci-hub.se 参考文章(18)
T. Rohlfing, A. Pfefferbaum, E. V. Sullivan, C. R. Maurer, Information fusion in biomedical image analysis: combination of data vs. combination of interpretations information processing in medical imaging. ,vol. 19, pp. 150- 161 ,(2005) , 10.1007/11505730_13
Peter Lorenzen, Brad C. Davis, Sarang Joshi, Unbiased Atlas Formation Via Large Deformations Metric Mapping Lecture Notes in Computer Science. ,vol. 8, pp. 411- 418 ,(2005) , 10.1007/11566489_51
C. Studholme, Simultaneous Population Based Image Alignment for Template Free Spatial Normalisation of Brain Anatomy workshop on biomedical image registration. pp. 81- 90 ,(2003) , 10.1007/978-3-540-39701-4_9
Peter Lorenzen, Brad Davis, Guido Gerig, Elizabeth Bullitt, Sarang Joshi, Multi-class posterior atlas formation via unbiased Kullback-Leibler template estimation medical image computing and computer assisted intervention. ,vol. 3216, pp. 95- 102 ,(2004) , 10.1007/978-3-540-30135-6_12
Vincent Arsigny, Pierre Fillard, Xavier Pennec, Nicholas Ayache, Fast and simple calculus on tensors in the log-euclidean framework medical image computing and computer assisted intervention. ,vol. 8, pp. 115- 122 ,(2005) , 10.1007/11566465_15
Mathieu De Craene, Aloys du Bois d’Aische, Benoît Macq, Simon K Warfield, None, Multi-subject Registration for Unbiased Statistical Atlas Construction medical image computing and computer assisted intervention. pp. 655- 662 ,(2004) , 10.1007/978-3-540-30135-6_80
B. Avants, J.C. Gee, Shape averaging with diffeomorphic flows for atlas creation international symposium on biomedical imaging. pp. 595- 598 ,(2004) , 10.1109/ISBI.2004.1398608
Paul M. Thompson, Jay N. Giedd, Roger P. Woods, David MacDonald, Alan C. Evans, Arthur W. Toga, Growth patterns in the developing brain detected by using continuum mechanical tensor maps Nature. ,vol. 404, pp. 190- 193 ,(2000) , 10.1038/35004593
C. Studholme, V. Cardenas, A. Maudsley, M. Weiner, An intensity consistent filtering approach to the analysis of deformation tensor derived maps of brain shape. NeuroImage. ,vol. 19, pp. 1638- 1649 ,(2003) , 10.1016/S1053-8119(03)00183-6
Neil Marlow, Dieter Wolke, Melanie A. Bracewell, Muthanna Samara, Neurologic and Developmental Disability at Six Years of Age after Extremely Preterm Birth The New England Journal of Medicine. ,vol. 352, pp. 9- 19 ,(2005) , 10.1056/NEJMOA041367