Cited by 137Medical Image Segmentation TechniquesSurgical Simulation and TrainingAugmented Reality Applications

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Vision-Based Navigation in Image-Guided Interventions

Mirota, Daniel J., Ishii, Masaru, Hager, Gregory D.·2011·Annual Review of Biomedical Engineering

DOI 10.1146/annurev-bioeng-071910-124757

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Abstract

The trend toward minimally invasive surgical interventions has created new challenges for visualization during surgical procedures. However, at the same time, the introduction of high-definition digital endoscopy offers the opportunity to apply methods from computer vision to provide visualization enhancements such as anatomic reconstruction, surface registration, motion tracking, and augmented reality. This review provides a perspective on this rapidly evolving field. It first introduces the clinical and technical background necessary for developing vision-based algorithms for interventional applications. It then discusses several examples of clinical interventions where computer vision can be applied, including bronchoscopy, rhinoscopy, transnasal skull-base neurosurgery, upper airway interventions, laparoscopy, robotic-assisted surgery, and Natural Orifice Transluminal Endoscopic Surgery (NOTES). It concludes that the currently reported work is only the beginning. As the demand for minimally invasive procedures rises, computer vision in surgery will continue to advance through close interdisciplinary work between interventionists and engineers.

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Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
A Method for Registration of 3-D Shapes
Besl, P., & Mckay, N. D. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.121791 · Cited by 22,163
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
A flexible new technique for camera calibration
Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.888718 · Cited by 15,004
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955
Untitled work
(1981) · Cited by 11,963
Good features to track
Shi, J., & Tomasi (1994) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94 · doi:10.1109/cvpr.1994.323794 · Cited by 7,724
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Scharstein, D., & Szeliski, R. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014573219977 · Cited by 6,740
A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses
Tsai, R. (1987) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1987.1087109 · Cited by 5,890
Bundle Adjustment — A Modern Synthesis
Triggs, B., McLauchlan, P. F., Hartley, R. I., & Fitzgibbon, A. W. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44480-7_21 · Cited by 3,988
Three-dimensional computer vision: a geometric viewpoint
(1994) · Choice Reviews Online · doi:10.5860/choice.32-0357 · Cited by 3,032
Shape and motion from image streams under orthography: a factorization method
Tomasi, C., & Takeo Kanade, A. (1992) · International Journal of Computer Vision · doi:10.1007/bf00129684 · Cited by 2,879
A computer algorithm for reconstructing a scene from two projections
Longuet-Higgins, H. C. (1981) · Nature · doi:10.1038/293133a0 · Cited by 2,407
Faster and Better: A Machine Learning Approach to Corner Detection
Rosten, E., Porter, R. B., & Drummond, T. W. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.275 · Cited by 1,852
The Interpretation of Visual Motion
Burt, P. J., & Ullman, S. (1980) · The American Journal of Psychology · doi:10.2307/1422246 · Cited by 1,762
Light Field Photography with a Hand-held Plenoptic Camera
Ng, R., Levoy, M., Brédif, M., Duval, G., Horowitz, M., & Hanrahan, P. (2005) · HAL · Cited by 1,749
The Interpretation of Visual Motion
Ullman, S. (1979) · The MIT Press eBooks · doi:10.7551/mitpress/3877.001.0001 · Cited by 1,648
Efficient Belief Propagation for Early Vision
Felzenszwalb, P. F., & Huttenlocher, D. P. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-7899-4 · Cited by 1,338
Advances in computational stereo
Brown, M., Burschka, D., & Hager, G. D. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1217603 · Cited by 1,136
Self-citation
Computing visual correspondence with occlusions using graph cuts
Kolmogorov, V., & Ramin Zabih, A. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937668 · Cited by 1,128
Single lens stereo with a plenoptic camera
Adelson, E. H., & Wang, J. Y. A. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.121783 · Cited by 1,106
Predicting error in rigid-body point-based registration
Fitzpatrick, J. M., West, J. B., & Maurer, C. R. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.736021 · Cited by 1,021
Fast and globally convergent pose estimation from video images
Lu, C.-H., Hager, G. D., & Mjolsness, E. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.862199 · Cited by 895
Self-citation
An Invitation to 3-D Vision
Ma, Y., Soatto, S., Košecká, J., & Sastry, S. (2004) · Interdisciplinary applied mathematics · doi:10.1007/978-0-387-21779-6 · Cited by 894
ASGE/SAGES Working Group on Natural Orifice Translumenal Endoscopic Surgery
Rattner, D. W., & Kalloo, A. N. (2006) · Surgical Endoscopy · doi:10.1007/s00464-005-3006-0 · Cited by 827
A space-sweep approach to true multi-image matching
Collins, R. T. (1996) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1996.517097 · Cited by 642
The Trimmed Iterative Closest Point algorithm
Chetverikov, D., Svirko, D., Николаевич, С. Д., & Kršek, P. (2003) · doi:10.1109/icpr.2002.1047997 · Cited by 640
A Database and Evaluation Methodology for Optical Flow
Baker, S., Roth, S., Scharstein, D., Black, M. J., Lewis, J. P., & Szeliski, R. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408903 · Cited by 618
Motion and structure from feature correspondences: a review
Huang, T. S., & Netravali, A. N. (1994) · Proceedings of the IEEE · doi:10.1109/5.265351 · Cited by 470
Image-guided interventions: technology review and clinical applications.
Cleary, K., & Peters, T. (2010) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-070909-105249 · Cited by 458
Looking Back to the Advent of Modern Endoscopy: 150th Birthday of Maximilian Nitze
Mouton, W. G., BESSELL, J. R., & Maddern, G. J. (1998) · World Journal of Surgery · doi:10.1007/s002689900555 · Cited by 416
An analytic solution for the perspective 4-point problem
Horaud, R., Conio, B., Leboulleux, O., & Lacolle, B. (1989) · Computer Vision Graphics and Image Processing · doi:10.1016/0734-189x(89)90052-2 · Cited by 377
A Flexible Fibrescope, using Static Scanning
Hopkins, H. H., & Kapany, N. S. (1954) · Nature · doi:10.1038/173039b0 · Cited by 371
Computer-integrated surgery.
Ej, L. (1997) · PubMed · Cited by 326
Accurate Non-Iterative O(n) Solution to the PnP Problem
Moreno-Noguer, F., Lepetit, V., & Fua, P. (2007) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409116 · Cited by 294
Augmented Reality During Robot-assisted Laparoscopic Partial Nephrectomy: Toward Real-Time 3D-CT to Stereoscopic Video Registration
Su, L.-M., Vágvölgyi, B., Agarwal, R., Reiley, C. E., Taylor, R. H., & Hager, G. D. (2009) · Urology · doi:10.1016/j.urology.2008.11.040 · Cited by 284
Self-citation
Computation and analysis of image motion: A synopsis of current problems and methods
Mitiche, A., & Bouthémy, P. (1996) · International Journal of Computer Vision · doi:10.1007/bf00131147 · Cited by 250
Real-Time Stereo Reconstruction in Robotically Assisted Minimally Invasive Surgery
Stoyanov, D. V., Visentini-Scarzanella, M., Pratt, P., & Yang, G. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9_34 · Cited by 233
Interactive image-guided neurosurgery
Galloway, R. L., Maciunas, R. J., & Edwards, C. A. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.184698 · Cited by 228
Interactive Image‐Guided Neurosurgery
Galloway, R. L., Maciunas, R. J., & Edwards, C. A. (1995) · Journal of Neuroimaging · doi:10.1111/jon19955154b · Cited by 203
OpenVIDIA
Fung, J., & Mann, S. (2005) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1101149.1101334 · Cited by 202
A Survey of Methods for Volumetric Scene Reconstruction from Photographs
Slabaugh, G., Schafer, R. W., Malzbender, T., & Culbertson, B. (2001) · Eurographics · doi:10.1007/978-3-7091-6756-4_6 · Cited by 197
A brief history of endoscopic transsphenoidal surgery—from Philipp Bozzini to the First World Congress of Endoscopic Skull Base Surgery
Doglietto, F., Prevedello, D. M., Jane, J. A., Han, J. K., & Laws, E. R. (2005) · Neurosurgical FOCUS · doi:10.3171/foc.2005.19.6.4 · Cited by 192
Three-dimensional surface profile intensity correction for spatially modulated imaging
Gioux, S., Mazhar, A., Cuccia, D. J., Durkin, A. J., Tromberg, B. J., & Frangioni, J. V. (2009) · Journal of Biomedical Optics · doi:10.1117/1.3156840 · Cited by 161
Soft-Tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedures
Stoyanov, D. V., Mylonas, G. P., Deligianni, F., Darzi, A. W., & Yang, G. Z. (2005) · Lecture notes in computer science · doi:10.1007/11566489_18 · Cited by 153
Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images
Mori, K., Deguchi, D., Sugiyama, J., Suenaga, Y., Toriwaki, J.-I., Maurer, C. R., Takabatake, H., & Natori, H. (2002) · Medical Image Analysis · doi:10.1016/s1361-8415(02)00089-0 · Cited by 139
A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation
Asari, K. V., Kumar, S., & Radhakrishnan, D. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.768843 · Cited by 127
An articulated neurosurgical navigation system using MRI and CT images
Kosugi, Y., Watanabe, E., Goto, J.-I., Watanabe, T., Yoshimoto, S., Takakura, K., & Ikebe, J. (1988) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.1353 · Cited by 126
Endoscopic Surgery: The History, the Pioneers
Litynski, G. S. (1999) · World Journal of Surgery · doi:10.1007/s002689900576 · Cited by 123
Scale-invariant registration of monocular endoscopic images to CT-scans for sinus surgery
Burschka, D., Li, M., Ishii, M., Taylor, R. H., & Hager, G. D. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.05.005 · Cited by 115
Self-citation
Videoendoscopic distortion correction and its application to virtual guidance of endoscopy
Helferty, J. P., Zhang, C., McLennan, G., & Higgins, W. E. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.932745 · Cited by 103
Motion Compensated SLAM for Image Guided Surgery
Mountney, P., & Yang, G. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15745-5_61 · Cited by 99
Towards a Better Comprehension of Similarity Measures Used in Medical Image Registration
Roche, A., Malandain, G., Ayache, N., & Prima, S. (1999) · Lecture notes in computer science · doi:10.1007/10704282_60 · Cited by 99
A minimal solution to the generalised 3-point pose problem
Nistér, D. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315081 · Cited by 95
Three-dimensional Motion Tracking for Beating Heart Surgery Using a Thin-plate Spline Deformable Model
Richa, R., Poignet, P., & Liu, C. (2009) · The International Journal of Robotics Research · doi:10.1177/0278364909356600 · Cited by 83
Stereo-Based Endoscopic Tracking of Cardiac Surface Deformation
Lau, W. W., Ramey, N. A., Corso, J. J., Thakor, N. V., & Hager, G. D. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30136-3_61 · Cited by 81
Self-citation
Time-of-Flight 3-D Endoscopy
Penne, J., Höller, K., Stürmer, M., Schrauder, T., Schneider, A., Engelbrecht, R., Feußner, H., Schmauß, B., & Joachim Hornegger, A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_58 · Cited by 77
Stereotactic Localization and Guidance Using a Machine Vision Technique
Heilbrun, M. P., McDonald, P., Wiker, C., Koehler, S., & Peters, W. N. (1992) · Stereotactic and Functional Neurosurgery · doi:10.1159/000098979 · Cited by 76
3D CT-Video Fusion for Image-Guided Bronchoscopy
Higgins, W. E., Helferty, J. P., Lu, K., Merritt, S. A., Rai, L., & Yu, K. (2007) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2007.11.001 · Cited by 73
From medical images to minimally invasive intervention: Computer assistance for robotic surgery
Su-Lin, L., Lerotic, M., Vitiello, V., Giannarou, S., Kwok, K., Visentini-Scarzanella, M., & Yang, G. (2009) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2009.07.007 · Cited by 69
A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
Prados, E., Camilli, F., & Faugeras, O. D. (2006) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-006-6899-x · Cited by 63
Experimental protocol of accuracy evaluation of 6-D localizers for computer-integrated surgery: Application to four optical localizers
Chassat, F., & Lavallée, S. (1998) · Lecture notes in computer science · doi:10.1007/bfb0056211 · Cited by 63
Hybrid bronchoscope tracking using a magnetic tracking sensor and image registration
Mori, K., Deguchi, D., Akiyama, K., Kitasaka, T., Suenaga, Y., Maurer, C. R., Takabatake, H., Mori, M., & Natori, H. (2005) · Lecture notes in computer science · Cited by 62
Hybrid Bronchoscope Tracking Using a Magnetic Tracking Sensor and Image Registration
Mori, K., Deguchi, D., Akiyama, K., Kitasaka, T., Maurer, C. R., Suenaga, Y., Takabatake, H., Mori, M., & Natori, H. (2005) · Lecture notes in computer science · doi:10.1007/11566489_67 · Cited by 60
Time-of-flight sensor for respiratory motion gating
Schaller, C., Penne, J., & Joachim Hornegger, A. (2008) · Medical Physics · doi:10.1118/1.2938521 · Cited by 59
Augmentation of human precision in computer-integrated surgery
Taylor, R. H., Paul, H., Cutting, C. B., Mittelstadt, B., Hanson, W. A., Kazanzides, P., Musits, B. L., Kim, Y.-Y., Kalvin, A. D., Haddad, B., et al. (1992) · ITBM-RBM · Cited by 44
Image guidance for robotic minimally invasive coronary artery bypass
Figl, M., Rueckert, D., Hawkes, D. J., Casula, R., Hu, M., Pedro, O., Zhang, D. P., Penney, G., Bello, F., & Edwards, P. (2009) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2009.08.002 · Cited by 39
Technique for registering 3D virtual CT images to endoscopic video
Helferty, J. P., & Higgins, W. E. (2002) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2001.958638 · Cited by 36
Toward Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery
Mirota, D. J., Wang, H., Taylor, R. H., Ishii, M., & Hager, G. D. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_12 · Cited by 35
Self-citation
Philipp Bozzini—The Father of Endoscopy
Engel, R. M. E. (2003) · Journal of Endourology · doi:10.1089/089277903772036145 · Cited by 35
Robust 3D Visual Tracking for Robotic-Assisted Cardiac Interventions
Richa, R., Bó, A. P. L., & Poignet, P. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9_33 · Cited by 34
Augmented Reality in Minimally Invasive Surgery
Paolis, L. T. D., & Aloisio, G. (2009) · Lecture notes in electrical engineering · doi:10.1007/978-3-642-05167-8_17 · Cited by 32
Combined endoscopic video tracking and virtual 3D CT registration for surgical guidance
Helferty, J. P., & Higgins, W. E. (2003) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2002.1040112 · Cited by 30
A new image rectification algorithm
Chen, Z., Wu, C., & Tsui, H.-T. (2002) · Pattern Recognition Letters · doi:10.1016/s0167-8655(02)00239-8 · Cited by 29
A Method for Tracking the Camera Motion of Real Endoscope by Epipolar Geometry Analysis and Virtual Endoscopy System
Mori, K., Deguchi, D., Hasegawa, J., Suenaga, Y., Toriwaki, J., Takabatake, H., & Natori, H. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45468-3_1 · Cited by 27
pq-Space Based 2D/3D Registration for Endoscope Tracking
Deligianni, F., Chung, A. J., & Yang, G. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39899-8_39 · Cited by 23
A System for an Accurate 3D Reconstruction in Video Endoscopy Capsule
Kolar, A., Romain, O., Ayoub, J., Faura, D., Viateur, S., Granado, B., & Graba, T. (2009) · EURASIP Journal on Embedded Systems · doi:10.1155/2009/716317 · Cited by 22
Online computation of exterior orientation with application to hand-eye calibration
Lu, C.-H., Mjolsness, E., & Hager, G. D. (1996) · Mathematical and Computer Modelling · doi:10.1016/0895-7177(96)00118-5 · Cited by 21
Self-citation
A Direction Space Interpolation Technique for Calibration of Electromagnetic Surgical Navigation Systems
Wu, X., & Taylor, R. H. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39903-2_27 · Cited by 20
Real-time structured light depth extraction
Keller, K., & Ackerman, J. D. (2000) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.380037 · Cited by 17
Bronchoscopy and Television
Soulas, A., Montreynaud, J. M. D. D., EDWARDS, R. J., & Gladu, A. (1957) · Diseases of the Chest · doi:10.1378/chest.31.5.580 · Cited by 16
Direct endoscopic video registration for sinus surgery
Mirota, D. J., Taylor, R. H., Ishii, M., & Hager, G. D. (2009) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.812334 · Cited by 14
Self-citation
Current issues of photorealistic rendering for virtual and augmented reality in minimally invasive surgery
Stoyanov, D. V., Elhelw, M., Lo, B. P. L., Chung, A. F., Bello, F., & Yang, G. (2004) · IEEE Conference on Information Visualization (IV) · doi:10.1109/iv.2003.1218010 · Cited by 14
New device for interactive image-guided surgery
Galloway, R. L., Edwards, C. A., II, Thomas, J. G., Schreiner, S., & Maciunas, R. J. (1991) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.45150 · Cited by 13
Reconstructing shape from shading with a point light source at the projection center: shape reconstruction from an endoscope image
Okatani, T., & Deguchi, K. (1996) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.1996.546140 · Cited by 12
Reconstruction of medical images by perspective shape-from-shading
Tankus, A., Sochen, N., & Yeshurun, Y. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1334644 · Cited by 12
Integrated bronchoscopic video tracking and 3D CT registration for virtual bronchoscopy
Higgins, W. E., Helferty, J. P., & Padfield, D. R. (2003) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.483825 · Cited by 10
Video-endoscopic image analysis for 3D reconstruction of the surgical scene
Cano, A. M., González, P. S., Sanchez-Margallo, F. M., García, I. O., del Pozo, F., & Aguilera, E. J. G. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-89208-3_220 · Cited by 9
CT-video registration accuracy for virtual guidance of bronchoscopy
Helferty, J. P., Hoffman, E. A., McLennan, G., & Higgins, W. E. (2004) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.534125 · Cited by 9
Anatomical Reconstruction from Endoscopic Images: Toward Quantitative Endoscopy
Wang, H., Mirota, D. J., Hager, G. D., & Ishii, M. (2008) · American Journal of Rhinology · doi:10.2500/ajr.2008.22.3129 · Cited by 8
Self-citation
Accurate depth from defocus estimation with video-rate implementation
Raj, A. N. J. (2026) · Warwick Research Archive Portal (University of Warwick) · doi:10.82444/warw.33487258 · Cited by 8
Accuracy Identification of Markerless Registration with the DLR Handheld 3D-Modeller in Medical Applications
Konietschke, R., Busam, A., Bodenmüller, T., Ortmaier, T., Suppa, M., Wiechnik, J., Welzel, T., Eggers, G., Hirzinger, G., & Marmulla, R. (2007) · elib (German Aerospace Center) · Cited by 6
Fast 3D vision with robust structured light coding
Albitar, C., Graebling, P., & Doignon, C. (2009) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.808179 · Cited by 6
3D SHAPE RECONSTRUCTION ENDOSCOPE USING SHAPE FROM FOCUS
Takeshita, T., Nakajima, Y., Kim, M. K., Onogi, S., Mitsuishi, M., & Matsumoto, Y. (2009) · International Conference on Computer Vision Theory and Applications · doi:10.5220/0001804004110416 · Cited by 4
NOTES: Neue Impulse aus Forschung und Entwicklung
Can, S., Mayer, H. G., & Knoll, A. (2008) · Endoskopie heute · doi:10.1055/s-0028-1098689 · Cited by 3
Our Christmas
Baird, L. (1927) · AJN American Journal of Nursing · doi:10.2307/3409808 · Cited by 3
Improved navigation for image-guided bronchoscopy
Khare, R., Yu, K., & Higgins, W. E. (2009) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.811142 · Cited by 2
Biosignalverarbeitung
Bernhard, S., Brensing, A., & Witte, K.-H. (2022) · De Gruyter eBooks · doi:10.1515/9783111003115 · Cited by 2

Research works printed but not linked: 14

Désormeaux AJ., 1855, C.R. Hébd. Séances Acad. Sci., 40, 692
Shi J, 1994, Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn., June 21–23, Seattle, 593
Takeshita T, 2008, Proc. ASIAGRAPH 2008, Shanghai, 190
Ng R, 2005, Comput. Sci. Tech. Rep. CTSR 2005-02
Kolar A, 2010, EURASIP J. Embed. Syst., 2009, 716317
Höller K, 2008, Biosignal-verarbeitung, 180
Nolte LP, 1994, Proc. First Int. Symp. Med. Robot. Comput. Assist. Surg., Sept. 22–24, Pittsburgh, Pa., 323
59. Bucholz RD, Smith KR. 1993. A comparison of sonic digitizers versus light emitting diode-based localization. See Reference 57, pp. 179–200
Taylor RH, 1992, Innov. Technol. Biol. Med., 13, 450
Hofstetter R, 1999, Proc. Comput. Assist. Orthop. Surg. Symp., 4th, Davos, Switz., 28
Poulin F, 2001, Proc. Comput. Assist. Orthop. Surg. Symp. USA, July 6–8, Pittsburgh, Pa., 233
Reinhardt HF., 1996, Computer-Integrated Surgery, 329
Lucas B, 1981, Proc. Int. Jt. Conf. Artif. Intell., Aug. 24–28, Vancouver, Can., 674
106. Höller K, Hempel S, Engelbrecht R, Hornegger J, Feussner H. 2010. Distance calibration with a time-of-flight 3-D endoscope. Presented at Russ. Bavar. Conf. Biomed. Eng., 6th, Moscow

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Authors: Mirota, D. J., Ishii, M., & Hager, G. D.
Affiliations: Johns Hopkins University (US)
ORCID: Ishii, Masaru
Hager, Gregory D.
Venue: Annual Review of Biomedical Engineering
Publisher: Annual Reviews
Published: 2011-08-15
Volume: 13
Issue: 1
Pages: 297-319
ISSN: 1523-9829 (ISSN-L)
1545-4274
DOI: 10.1146/annurev-bioeng-071910-124757
OpenAlex: W2146082292
Cited by: 137
References: 98
Citations by year: 2026: 2 · 2025: 2 · 2024: 2 · 2023: 35 · 2022: 3 · 2021: 7 · 2020: 8 · 2019: 5 · 2018: 4 · 2017: 11 · 2016: 10 · 2015: 8 · 2014: 18 · 2013: 13 · 2012: 7
FWCI: 2.72
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Biomedical Engineering (publishedVersion)
PubMed (publishedVersion)
Funders: National Science Foundation
National Institutes of Health
National Cancer Institute (R01-CA127144)
National Institute of Biomedical Imaging and Bioengineering (R21-EB005201-01A, R21EB008490, R21EB005201)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Health Sciences › Medicine › Surgery › Surgical Simulation and Training
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
Keywords: visual navigation, image-guided surgery, minimally invasive surgery, augmented reality, surface registration, motion tracking, anatomical reconstruction, bronchoscopy, rhinoscopy, laparoscopy, robotic surgery, natural orifice transluminal endoscopic surgery, endoscopy
MeSH terms: Algorithms, Bronchoscopy, Diagnostic Imaging, Humans, Laparoscopy, Robotics, Neurosurgical Procedures, Video-Assisted Surgery, Surgery, Computer-Assisted, Natural Orifice Endoscopic Surgery

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