Optimal map parameters estimation in staple - learning from performance parameters versus image similarity information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8679, Issue , 2014, Pages 174-181

  Gorthi, Subrahmanyam ^a   Akhondi asl, Alireza ^a   Thiran, Jean Philippe ^b   Warfield, Simon K ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

Atlas based Segmentation; Brain; Label Fusion; Lateral Ventricles; MAP Formulation; Medical Imaging; MRI; Segmentation; STAPLE

Indexed keywords

BRAIN; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; LEARNING SYSTEMS;

ATLAS-BASED SEGMENTATION; LABEL FUSIONS; LATERAL VENTRICLES; MULTIPLE REFERENCE IMAGES; PARAMETERS ESTIMATION; PERFORMANCE PARAMETERS; SENSITIVITY AND SPECIFICITY; STAPLE;

PARAMETER ESTIMATION;

EID: 84921773897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10581-9_22     Document Type: Article

References (11)

1. Warfield, S., Zou, K., Wells, W.: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Transactions on Medical Imaging 23(7), 903–921 (2004)
2. Akhondi-Asl, A., Warfield, S.: Simultaneous truth and performance level estimation through fusion of probabilistic segmentations. IEEE Transactions on Medical Imaging 32(10), 1840–1852 (2013)
3. Asman, A., Landman, B.: Formulating spatially varying performance in the statistical fusion framework. IEEE Transactions on Medical Imaging 31(6), 1326–1336 (2012)
4. Artaechevarria, X., Munoz-Barrutia, A.: Combination strategies in multi-atlas image segmentation: Application to brain MR data. IEEE Transactions on Medical Imaging 28(8), 1266–1277 (2009)
5. Sabuncu, M., Yeo, B., Van Leemput, K., Fischl, B., Golland, P.: A generative model for image segmentation based on label fusion. IEEE Transactions on Medical Imaging 29(99), 1714–1729 (2010)
6. Wang, H., Suh, J., Das, S., Pluta, J., Craige, C., Yushkevich, P.: Multi-atlas segmentation with joint label fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 35(3), 611–623 (2013)
7. Gorthi, S., Bach Cuadra, M., Tercier, P.A., Allal, A., Thiran, J.P.: Weighted shapebased averaging with neighborhood prior model for multiple atlas fusion-based medical image segmentation. IEEE Signal Processing Letters 20(11), 1034–1037 (2013)
8. Cardoso, M., Leung, K., Modat, M., Barnes, J., Ourselin, S.: Locally ranked STAPLE for template based segmentation propagation. In: Workshop on Multi-Atlas Labeling and Statistical Fusion (2011)
9. Commowick, O., Warfield, S.K.: Incorporating priors on expert performance parameters for segmentation validation and label fusion: A maximum a posteriori STAPLE. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010, Part III. LNCS, vol. 6363, pp. 25–32. Springer, Heidelberg (2010)
10. Commowick, O., Akhondi-Asl, A., Warfield, S.K.: Estimating a reference standard segmentation with spatially varying performance parameters: Local MAP STAPLE. IEEE Transactions on Medical Imaging 31(8), 1593–1606 (2012)
11. AbouRizk, S.M., Halpin, D.W., Wilson, J.R.: Visual interactive fitting of beta distributions. Journal of Construction Engineering and Management 117(4), 589–605 (1991)