Similarity-based appearance-prior for fitting a subdivision mesh in gene expression images

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

Volumn 7510 LNCS, Issue , 2012, Pages 577-584

  Le, Yen H ^a   Kurkure, Uday ^a   Paragios, Nikos ^a,b   Ju, Tao ^c   Carson, James P ^d   Kakadiaris, Ioannis A ^a  

^a UNIVERSITY OF HOUSTON   (United States)

^b Center for Visual Computing   (France)

^c WASHINGTON UNIVERSITY   (United States)

^d PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Gene expression image; Segmentation; Subdivision mesh

Indexed keywords

COMPUTER GRAPHICS; GENE EXPRESSION; IMAGE SEGMENTATION; MAGNETORHEOLOGICAL FLUIDS; MAMMALS; MARKOV PROCESSES; MEDICAL COMPUTING; MEDICAL IMAGING; MESH GENERATION; STRUCTURAL FRAMES;

ANATOMICAL OBJECTS; AUTOMATED SEGMENTATION; MARKOV RANDOM FIELDS; MESH POINTS; MOUSE BRAIN; SALIENT POINTS; SUBDIVISION MESHES;

IMAGE ENHANCEMENT;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; AUTOMATION; BRAIN; COMPUTER PROGRAM; GENE EXPRESSION; GENE EXPRESSION PROFILING; IMAGE PROCESSING; METABOLISM; METHODOLOGY; MOUSE; PATHOLOGY; PROBABILITY; REPRODUCIBILITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; AUTOMATION; BRAIN; GENE EXPRESSION; GENE EXPRESSION PROFILING; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MARKOV CHAINS; MICE; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE;

MLCS; MLOWN;

EID: 84872580747     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_71     Document Type: Conference Paper

References (14)

1. Delingette, H.: General object reconstruction based on simplex meshes. International Journal of Computer Vision 32(2), 111–146 (1999)
2. Pizer, S.M., Fletcher, P.T., Joshi, S., Thall, A., Chen, J.Z., Fridman, Y., Fritsch, D.S., Gash, A.G., Glotzer, J.M., Jiroutek, M.R., Lu, C., Muller, K.E., Tracton, G., Yushkevich, P., Chaney, E.L.: Deformable m-reps for 3D medical image segmentation. Int. J. Comput. Vision (IJCV) 55(2-3), 85–106 (2003)
3. Warren, J., Weimer, H.: Subdivision methods for geometric design: A constructive approach. Morgan Kaufmann (2001)
4. Ju, T., Warren, J., Eichele, G., Thaller, C., Chiu, W., Carson, J.: A geometric database for gene expression data. In: Proc. Eurographics Symposium on Geometry Processing, pp. 166–176 (July 2003)
5. Kakadiaris, I.A., Bello, M., Arunachalam, S., Kang, W., Ju, T., Warren, J., Carson, J., Chiu, W., Thaller, C., Eichele, G.: Landmark-Driven, Atlas-Based Segmentation of Mouse Brain Tissue Images Containing Gene Expression Data. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004, Part I. LNCS, vol. 3216, pp. 192–199. Springer, Heidelberg (2004)
6. Bello, M., Ju, T., Carson, J.P., Warren, J., Chiu, W., Kakadiaris, I.A.: Learning-based segmentation framework for tissue images containing gene expression data. IEEE Transactions on Medical Imaging26, 728–744 (2007)
7. Kurkure, U., Le, Y., Paragios, N., Carson, J., Ju, T., Kakadiaris, I.: Markov random field-based fitting of a subdivision-based geometric atlas. In: Proc. IEEE (ICCV), Barcelona, Spain, November 6-13, pp. 2540–2547 (2011)
8. Ng, L., Pathak, S.D., Kuan, C., Lau, C., Dong, H., Sodt, A., Dang, C., Avants, B., Yushkevich, P., Gee, J.C., Haynor, D., Lein, E., Jones, A., Hawrylycz, M.: Neuroinformatics for genome-wide 3D gene expression mapping in the mouse Brain. IEEE/ACM Transactions on Computational Biology and Bioinformatics 4(3), 382–393 (2007)
9. Yi, Z., Soatto, S.: Correspondence transfer for the registration of multimodal images. In: Proc. IEEE ICCV, Rio de Janeiro, Brazil, October 14-21, pp. 1–8 (2007)
10. Sotiras, A., Ou, Y., Glocker, B., Davatzikos, C., Paragios, N.: Simultaneous Geometric - Iconic Registration. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.)MICCAI 2010, Part II. LNCS, vol. 6362, pp. 676–683. Springer, Heidelberg (2010)
11. Kurkure, U., Le, Y.H., Paragios, N., Carson, J.P., Ju, T., Kakadiaris, I.A.: Landmark/image-based deformable registration of gene expression data. In: Proc. IEEE (CVPR), Colorado Springs, CO, June 21-23, pp. 1089–1096 (2011)
12. Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging 16(2), 187–198 (1997)
13. Ou, Y., Davatzikos, C.: DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 50–62. Springer, Heidelberg (2009)
14. Carson, J.P., Ju, T., Bello, M., Thaller, C., Warren, J., Kakadiaris, I.A., Chiu, W., Eichele, G.: Automated pipeline for atlas-based annotation of gene expression patterns: Application to postnatal day 7 mouse brain. Methods 50, 85–95 (2010)