Virtual mastoidectomy performance evaluation through multi-volume analysis

International Journal of Computer Assisted Radiology and Surgery

Volumn 8, Issue 1, 2013, Pages 51-61

  Kerwin, Thomas ^a   Stredney, Don ^a   Wiet, Gregory ^b,c   Shen, Han Wei ^d  

^a OHIO SUPERCOMPUTER CENTER   (United States)

^b NATIONWIDE CHILDREN S HOSPITAL   (United States)

^c THE OHIO STATE UNIVERSITY WEXNER MEDICAL CENTER   (United States)

^d The Ohio State University   (United States)

Author keywords

Comparative visualization; Mastoidectomy; Volume feature extraction

Indexed keywords

ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; DISTANCE FIELD; EVALUATION; HUMAN; IMAGE DISPLAY; IMAGING; LEARNING; MASTOIDECTOMY; MEDICAL EXPERT; MULTI VOLUME ANALYSIS; PRIORITY JOURNAL; RESIDENT; SURGICAL TECHNIQUE; VIRTUAL REALITY;

EID: 84871944659     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-012-0687-4     Document Type: Article

References (20)

1. Bruckner S, Möller T. (2010) Isosurface similarity maps. Comput Graph Forum 29(3): 773-782. doi: 10.1111/j.1467-8659.2009.01689.x
2. Caban JJ, Rheingans P (2008) Texture-based transfer functions for direct volume rendering. IEEE Trans Vis Comput Graph 14(6): 1364-1371. doi: 10.1109/TVCG.2008.169
3. Correa CD, Ma KL (2008) Size-based transfer functions: a new volume exploration technique. IEEE Trans Vis Comput Graph 14(6): 1380-1387. doi: 10.1109/TVCG.2008.162
4. Ellis G, Dix A (2007) A taxonomy of clutter reduction for information visualisation. IEEE Trans Vis Comput Graph 13(6): 1216-1223. doi: 10.1109/TVCG.2007.70535 (Pubitemid 350076592)
5. Gagvani N, Silver D (1999) Parameter-controlled volume thinning. CVGIP Graph Model Image Process 61(3): 149-164
6. Heimann T, Meinzer HP (2009) Statistical shape models for 3D medical image segmentation: a review. Med Image Anal 13(4): 543-563. doi: 10.1016/j.media.2009.05.004
7. Huang X, Paragios N, Metaxas DN (2006) Shape registration in implicit spaces using information theory and free form deformations. IEEE Trans Pattern Anal Mach Intell 28(8): 1303-1318. doi: 10.1109/TPAMI.2006.171 (Pubitemid 46405027)
8. Hussain M, Eakins JP (2007) Component-based visual clustering using the self-organizing map. Neural Netw Off J Int Neural Netw Soc 20(2): 260-273. doi: 10.1016/j.neunet.2006.10.004 (Pubitemid 46283333)
9. Joshi SH, Horn JDV, Toga AW (2009) Interactive exploration of neuroanatomical meta-spaces. Front Neuroinform 3: 38. doi: 10.3389/neuro.11.038. 2009
10. Keefe DF, Ewert M, Ribarsky W, Chang R (2009) Interactive coordinated multiple-view visualization of biomechanical motion data. IEEE Trans Vis Comput Graph 15(6): 1383-1390. doi: 10.1109/TVCG.2009.152
11. Kuhn HW (1955) The Hungarian method for the assignment problem. Nav Res Logist Q 2(1-2): 83-97. doi: 10.1002/nav.3800020109
12. Latecki LJ, Li Qn, Bai X, Liu Wy (2007) Skeletonization using SSM of the distance transform. IEEE. doi: 10.1109/ICIP.2007.4379837
13. Mahfouz M, Badawi A, Merkl B, Fatah EEA, Pritchard E, Kesler K, Moore M, Jantz R, Jantz L (2007) Patella sex determination by 3D statistical shape models and nonlinear classifiers. Forensic Sci Int 173(2-3): 161-170. doi: 10.1016/j.forsciint.2007.02.024 (Pubitemid 47588744)
14. Masuda T (2002) Registration and integration of multiple range images by matching signed distance fields for object shape modeling. Comput Vis Image Underst 87(1-3): 51-65. doi: 10.1006/cviu.2002.0982
15. Sanchez-Cruz H, Bribiesca E (2003) A method of optimum transformation of 3D objects used as a measure of shape dissimilarity. Image Vis Comput 21(12): 1027-1036. doi: 10.1016/S0262-8856(03)00119-7
16. Trutschl M, Grinstein G, Cvek U (2003) Intelligently resolving point occlusion. In: IEEE symposium on information Visualization, pp 131-136. IEEE. doi: 10.1109/INFVIS.2003.1249018
17. Tufte ER (1990) Envisioning information. Graphics Press, Cheshire
18. Wan D, Wiet GJ, Welling DB, Kerwin T, Stredney D (2010) Creating a cross-institutional grading scale for temporal bone dissection. Laryngoscope 120(7): 1422-1427. doi: 10.1002/lary.20957
19. Woodring J, Shen HW (2006) Multi-variate, time-varying, and comparative visualization with contextual cues. IEEE Trans Vis Comput Graph 12(5): 909-916. doi: 10.1109/TVCG.2006.164 (Pubitemid 44955620)
20. Zhang H, Fritts J, Goldman S (2008) Image segmentation evaluation: a survey of unsupervised methods. Comput Vis Image Underst 110(2): 260-280. doi: 10.1016/j.cviu.2007.08.003 (Pubitemid 351509773)