Deformable 2D-3D registration of the pelvis with a limited field of view, using shape statistics

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 519-526

  Sadowsky, Ofri ^a   Chintalapani, Gouthami ^a   Taylor, Russell H ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PROBLEM SOLVING; THREE DIMENSIONAL; TWO DIMENSIONAL;

PELVIS ANATOMY; STATISTICAL SHAPE MODEL; X-RAY ATTENUATION INFORMATION;

IMAGE REGISTRATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; PELVIC GIRDLE; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PELVIC BONES; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79551688769     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_63     Document Type: Conference Paper

References (13)

1. Sadowsky, O., Ramamurthi, K., Ellingsen, L.M., Chintalapani, G., Prince, J.L., Taylor, R.H.: Atlas-assisted tomography: Registration of a deformable atlas to compensate for limited-angle cone-beam tranjectory. In: IEEE International Symposium on Biomedical Imaging (ISBI), IEEE Computer Society Press, Los Alamitos (2006)
2. Fleute, M., Lavallée, S.: Nonrigid 3-d/2-d registration of images using statistical models. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 138-147. Springer, Heidelberg (1999)
3. Zheng, G., Ballaster, M.A.G., Styner, M., Nolte, L.P.: Reconstruction of patientspecific 3d bone surface from 2d calibrated fluoroscopic images and point distribution model. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 25-32. Springer, Heidelberg (2006)
4. Yao, J., Taylor, R.H.: Assessing accuracy factors in deformable 2d/3d medical image registration using a statistical pelvis model. In: Ninth Int. Conference on Computer Vision, Nice, France, pp. 1329-1334 (2003)
5. Yao, J.: A statistical bone density atlas and deformable medical image registration. PhD thesis, Johns Hopkins University (2002)
6. Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models-their training and application. Computer Vision and Image Understanding 6(1), 38-59 (1995)
7. Mohamed, A., Davatzikos, C.: An approach to 3d finite element mesh generation from segmented medical images. In: IEEE International Symposium on Biomedical Imaging (ISBI), IEEE Computer Society Press, Los Alamitos (2004)
8. Ellingsen, L.M., Prince, J.L.: Mjolnir: Deformable image registration using feature diffusion. In: Proceedings of the SPIE Medical Imaging Conference, vol. 6144, pp. 329-337 (2006)
9. Muller-Merbach, J.: Simulation of x-ray projections for experimental 3d tomography. Technical report, Image Processing Laboratory Department of Electrical Engineering Linkoping University, SE-581 83, Sweden (1996)
10. Sadowsky, O., Cohen, J.D., Taylor, R.H.: Projected tetrahedra revisited: A barycentric formulation applied to digital radiograph reconstruction using higherorder attenuation functions. IEEE Transactions on Visualization and Computer Graphics (TVCG) 12(4), 461-473 (2006)
11. Studholme, C., Hill, D., Hawkes, D.: An overlap invariant entropy measure of 3d medical image alignment, Pattern Recognition, 71-86 (1999)
12. Chintalapani, G., Ellingsen, L.M., Sadowsky, O., Prince, J.L., Taylor, R.H.: Statistical atlases of bone anatomy: Construction, iterative improvement and validation. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007. LNCS, vol. 4791, pp. 499-506. Springer, Heidelberg (2007)
13. Zhou, W., Bovik, A.C., Seikh, H.R., Simoncelli, E.P.: Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing 13(4), 600-612 (2004)