Supervised method to build an atlas database for multi-atlas segmentation-propagation

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7624, Issue , 2010, Pages

  Shen, Kaikai ^a,b   Bourgeat, Pierrick ^a   Fripp, Jurgen ^a   Meriaudeau, Fabrice ^b   Ames, David ^c   Ellis, Kathryn A ^c,d   Masters, Colin L ^a,d   Villemagne, Victor L ^d   Rowe, Christopher C ^a,d   Salvado, Olivier ^a  

^a CSIRO   (Australia)

^b UNIVERSITÉ DE BOURGOGNE   (France)

^c NATIONAL AGEING RESEARCH INSTITUTE   (Australia)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Image segmentation; multi atlas segmentation propagation

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DATABASE SYSTEMS; DIAGNOSIS; DISEASE CONTROL; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NEURODEGENERATIVE DISEASES; SUPERVISED LEARNING;

ALZHEIMER'S DISEASE; BRAIN SEGMENTATION; BRAIN STRUCTURE; ELDERLY POPULATIONS; MULTI ATLAS-BASED SEGMENTATIONS; PROBABILITY IMAGE; SEGMENTATION PROPAGATION; SUPERVISED METHODS;

IMAGE SEGMENTATION;

EID: 84937224875     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844048     Document Type: Conference Paper

References (12)

1. Aljabar, P., Heckemann, R., Hammers, A., Hajnal, J., Rueckert, D., "Classifier selection strategies for label fusion using large atlas databases," in [Medical Image Computing and Computer-Assisted Intervention MICCAI 2007], 523-531 (2007).
2. Murgasova, M., Dyet, L., Edwards, D., Rutherford, M., Hajnal, J., Rueckert, D., "Segmentation of brain MRI in young children," Academic Radiology 14, 1350-66 (Nov. 2007). PMID: 17964459.
3. Babalola, K., Petrovic, V., Cootes, T., Taylor, C., Twining, C., Williams, T., Mills, A., "Automatic segmentation of the caudate nuclei using active appearance models," in [Workshop on 3D Segmentation in the Clinic], 57-64 (Oct. 2007).
4. Patenaude, B., Smith, S., Kennedy, D., Jenkinson, M., "Bayesian shape and appearance models," Tech. Rep. TR07BP1, Oxford (2007).
5. Babalola, K., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., Smith, S., Cootes, T., Jenkinson, M., Rueckert, D., "Comparison and evaluation of segmentation techniques for subcortical structures in brain MRI," in [Medical Image Computing and Computer-Assisted Intervention MICCAI 2008], 409-416 (2008).
6. Aljabar, P., Heckemann, R., Hammers, A., Hajnal, J., Rueckert, D., "Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy," NeuroImage 46, 726-738 (July 2009).
7. Ourselin, S., Roche, A., Subsol, G., Pennec, X., Ayache, N., "Reconstructing a 3D structure from serial histological sections," Image and Vision Computing 19(1-2), 25-31 (2001).
8. Vercauteren, T., Pennec, X., Perchant, A., Ayache, N., "Non-parametric diffeomorphic image registration with the demons algorithm," in [Medical Image Computing and Computer-Assisted Intervention MICCAI 2007], 319-326 (2007).
9. Thirion, J., "Image matching as a diffusion process: an analogy with maxwell's demons," Medical Image Analysis 2, 243-260 (Sept. 1998).
10. Yassa, M. A., Stark, C. E., "A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe," NeuroImage 44(2), 319-327 (2009).
11. Warfield, S., Zou, K., Wells, W., "Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation," Medical Imaging, IEEE Transactions on 23(7), 903-921 (2004).
12. Studholme, C., Hill, D., Hawkes, D., "Incorporating connected region labelling into automated image registration using mutual information," in [Mathematical Methods in Biomedical Image Analysis, 1996., Proceedings of the Workshop on], 23-31 (1996).