Intraoperative ultrasound guidance for transanal endoscopic microsurgery

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

Volumn 7510 LNCS, Issue , 2012, Pages 463-470

  Pratt, Philip ^a   Di Marco, Aimee ^a   Payne, Christopher ^a   Darzi, Ara ^a   Yang, Guang Zhong ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; END EFFECTORS; ENDOSCOPY; MEDICAL IMAGING; OPTICAL DATA PROCESSING; SURGERY; ULTRASONIC APPLICATIONS;

INTRA-OPERATIVE; INTRAOPERATIVE ULTRASOUND; LESION THICKNESS; OPTICAL MEASUREMENT; PATTERN TRACKING; SENSORY EXPERIENCES; TISSUE DEFORMATIONS; ULTRASOUND CALIBRATION;

MEDICAL COMPUTING;

ALGORITHM; ANIMAL; ARTICLE; CALIBRATION; ECHOGRAPHY; ENDOSCOPY; EQUIPMENT DESIGN; HUMAN; IMAGE QUALITY; METHODOLOGY; MICROSURGERY; PATHOLOGY; RECTUM; RECTUM TUMOR; REPRODUCIBILITY; SWINE;

ALGORITHMS; ANIMALS; CALIBRATION; ENDOSCOPY; EQUIPMENT DESIGN; HUMANS; MICROSURGERY; PHANTOMS, IMAGING; RECTAL NEOPLASMS; RECTUM; REPRODUCIBILITY OF RESULTS; SWINE; ULTRASONOGRAPHY;

MLCS; MLOWN;

EID: 84872565561     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_57     Document Type: Conference Paper

References (13)

1. Cataldo, P., Buess, G.: Transanal Endoscopic Microsurgery: Principles and Techniques. Springer (2009)
2. Stetten, G., Chib, V., Hildebrand, D., Bursee, J.: Real time tomographic reflection: Phantoms for calibration and biopsy. In: IEEE/ACM International Symposium on Augmented Reality, pp. 11–19 (2001)
3. Leven, J., Burschka, D., Kumar, R., Zhang, G., Blumenkranz, S., Dai, X., Awad, M., Hager, G., Marohn, M., Choti, M., Hasser, C., Taylor, R.: DaVinci Canvas: A Telerobotic Surgical System with Integrated, Robot-Assisted, Laparoscopic Ultrasound Capability. In: Duncan, J.S., Gerig, G. (eds.)MICCAI 2005, Part I. LNCS, vol. 3749, pp. 811–818. Springer, Heidelberg (2005)
4. Ali, A., Logeswaran, R.: A visual probe localization and calibration system for cost-effective computer-aided 3D ultrasound. Computers in Biology and Medicine 37, 1141–1147 (2007)
5. Cheung, C.L., Wedlake, C., Moore, J., Pautler, S.E., Peters, T.M.: Fused Video and Ultrasound Images for Minimally Invasive Partial Nephrectomy: A Phantom Study. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.)MICCAI 2010, Part III. LNCS, vol. 6363, pp. 408–415. Springer, Heidelberg (2010)
6. Dressel, P., Feuerstein, M., Reichl, T., Kitasaka, T., Navab, N., Mori, K.: Direct Co-calibration of Endobronchial Ultrasound and Video. In: Liao, H., Eddie Edwards, P.J., Pan, X., Fan, Y., Yang, G.-Z. (eds.)MIAR 2010. LNCS, vol. 6326, pp. 513–520. Springer, Heidelberg (2010)
7. Langø, T., Vijayan, S., Rethy, A., Vâpenstad, C., Solberg, O.V., Mârvik, R., Johnsen, G., Hernes, T.: Navigated laparoscopic ultrasound in abdominal soft tissue surgery: technological overview and perspectives. International Journal of Computer Assisted Robotics and Surgery (2011)
8. Schneider, C., Guerrero, J., Nguan, C., Rohling, R., Salcudean, S.: Intra-operative “Pick-Up” Ultrasound for Robot Assisted Surgery with Vessel Extraction and Registration: A Feasibility Study. In: Taylor, R.H., Yang, G.-Z. (eds.)IPCAI 2011. LNCS, vol. 6689, pp. 122–132. Springer, Heidelberg (2011)
9. Chen, T., Thurston, A., Ellis, R., Abolmaesumi, P.: A real-time freehand ultrasound calibration system with automatic accuracy feedback and control. Ultrasound in Medicine and Biology35(1), 79–93 (2009)
10. Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence22(11), 1330–1334 (2000)
11. Horn, B.: Closed-form solution of absolute orientation using unit quaternions. Journal of the Optical Society of America A4(4), 629–642 (1987)
12. Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Media, Inc. (2008)
13. Shu, C., Brunton, A., Fiala, M.: A topological approach to finding grids in calibration patterns. Machine Vision and Applications21, 949–957 (2010)