Challenges in image-guided therapy system design

NeuroImage

Volumn 37, Issue SUPPL. 1, 2007, Pages

  DiMaio, Simon ^a   Kapur, Tina ^a   Cleary, Kevin ^b   Aylward, Stephen ^c   Kazanzides, Peter ^d   Vosburgh, Kirby ^e   Ellis, Randy ^f   Duncan, James ^g   Farahani, Keyvan ^h   Lemke, Heinz ⁱ   Peters, Terry ^j   Gobbi, David ^j   Haller, John ^l   Pizer, Stephen ^m   Taylor, Russell ^d   Galloway Jr , Robert ⁿ   Fichtinger, Gabor ^d   Hata, Nobuhiko ^a   Lawson, Kimberly ^a   Tempany, Clare ^a   Kikinis, Ron ^a   Jolesz, Ferenc ^a   more..

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b GEORGETOWN UNIVERSITY   (United States)

^c KITWARE INC   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

^e Center for Integration of Medicine and Innovative Technology   (United States)

^f QUEEN S UNIVERSITY   (Canada)

^g YALE UNIVERSITY   (United States)

^h Larry)   (United States)

ⁱ UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^j ROBARTS RESEARCH INSTITUTE   (Canada)

^k Bill)   (United States)

^l NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING   (United States)

^m UNIVERSITY OF NORTH CAROLINA   (United States)

ⁿ VANDERBILT UNIVERSITY   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ENGINEERING; FUNDING; HEALTH CARE ORGANIZATION; IMAGE GUIDED THERAPY; PRIORITY JOURNAL; RESEARCH; ROBOTICS; TECHNOLOGY; THERAPY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SYSTEMS; HUMANS; KNOWLEDGE BASES; MODELS, ORGANIZATIONAL; NATIONAL INSTITUTES OF HEALTH (U.S.); NEUROSURGICAL PROCEDURES; OUTCOME ASSESSMENT (HEALTH CARE); REPRODUCIBILITY OF RESULTS; ROBOTICS; SOFTWARE; SURGERY, COMPUTER-ASSISTED; TREATMENT OUTCOME; UNITED STATES;

EID: 34547796984     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.04.026     Document Type: Article

References (33)

1. Bullitt E., Jung I., Muller K., Gerig G., Aylward S., Joshi S., Smith K., Lin W., and Ewend M. Determining malignancy of brain tumors by analysis of vessel shape. MICCAI Lect. Notes Comput. Sci. 3217 (2004) 645-653
2. Burschka D., Corso J.J., Dewan M., Lau W.W., Li M., Lin H., Marayong P., Ramey N.A., Hager G.D., Hoffman B., Larkin D., and Hasser C.J. Navigating inner space: 3-D assistance for minimally invasive surgery. Robot. and Autonomous Systems 52 1 (2005) 5-26
3. Claus E.B., Horlacher A., Hsu L., Schwartz R.B., Dello-Iaccono D., Talos I.F., Jolesz F.A., and Black P.M. Survival rates in patients with low-grade glioma after intraoperative image guidance. Cancer 103 6 (2005) 1227-1233
4. DART, 2000. http://public.kitware.com/dashboard.php.
5. Dickhaus CF., Burghart C., Tempany C., D'Amico A., Haker S., Kikinis R., and Woern H. Workflow modeling and analysis of computer guided prostate brachytherapy under MR imaging control. Stud. Health Technol. Inform. 98 (2004) 72-74
6. DiMaio, S., Archip, P., Hata, N., Talos, I.F., Warfield, S.K., Majumdar, A., McDannold, N., Hynynen, K., Morrison, P.R., Wells, W. M., Kacher, D.F., Ellis, R.E., Golby, A.J., Black, P.M., Jolesz, F.A., Kikinis, R., 2006. Image-guided neurosurgery at Brigham and Women's Hospital. IEEE engineering in medicine and biology magazine: the quarterly magazine of the Engineering in Medicine & Biology Society 25 (5) 67-73.
7. FDA, Guidance for Off-the-Shelf Software Use in Medical Devices, US Food and Drug Administration, FOD #585, 9 September 1999.
8. Fitzpatrick J., West J., and Maurer J. Predicting error in rigid body. Point-Based Registration. IEEE Transactions on Medical Imaging 17 (1998) 694-702
9. Gary K., Ibanez L., Aylward S., Gobbi D., Blake M., and Cleary K. IGSTK: an open source software toolkit for image-guided surgery. IEEE Comput. Graph. Appl. 39 4 (2006) 46-53
10. GEHealthcare-MicroCT, 2007. http://www.gehealthcare.com/usen/fun_img/pcimaging/products/microctscann er.html.
11. GEHealthcare-Specimen-MicroCT, http://www.gehealthcare.com/usen/fun_img/pcimaging/products/specimicroct .html.
12. Henderson J., and Bucholz R. Accurate and ergonomic method of registration for image-guided neurosurgery. Comput. Med. Imaging Graph. 18 4 (1994) 273-277
13. Holmes, D., Workman, E., Robb, R., 2005. Common access to uncommon data. Insight Journal. Dspace handle: http://hdl.handle.net/1926/22.
14. IGSTK, 2007. http://www.igstk.org/.
15. ITK, 2007. http://www.itk.org/.
16. Jalote-Parmar, A., Pattynama, P.M.T., Goossens, R.H.M., Freudenthal, A., Samset, E., De Ridder, H., 2006. Exploring a user centric methodology to investigate and integrate information gathered during medical intervention. In Proceedings of the 16th World Congress on Ergonomics, Maastricht, The Netherlands: International Ergonomics Association.
17. Lemke H.U., and Vannier M.W. The operating room and the need for an IT infrastructure and standards. Int. J. CARS 1 3 (2006) 117-121
18. Nafis C., Jensen J., Beauregard L., and Anderson P. Method for estimating dynamic EM tracking accuracy of surgical navigation tools. Medical imaging: visualization, image-guided procedures, and display. In: Cleary K.R., and Galloway Jr. R.L. (Eds). In Proceedings of the SPIE 6141 (2006) 152-167
19. OpenTracker, 2007. http://studierstube.icg.tu-graz.ac.at/opentracker/.
20. Paggetti C., Martelli S., Nofrini L., and Vendruscolo P. Interface design and evaluation for CAS systems. Proceedings of the 4th international Conference on Medical Image Computing and Computer-Assisted Intervention (2001)
21. Peters T. Image-guided surgery: from X-rays to virtual reality. Comput. Methods Biomech. Biomed. (2000) 25-27
22. Reitmayr G., and Schmalstieg D. An open software architecture for virtual reality interaction. Proceedings of the ACM Symposium on Virtual Reality Software and Technology (2001) 47-54
23. Reitmayr G., and Schmalstieg D. OpenTracker-An open software architecture for reconfigurable tracking based on XML. IEEE Virtual Real. (2001) 285
24. Schindl, M., Redhead, D., Fearon, K., Garden, O., Wigmore, S., 2005. The value of residual liver volume as a predictor of hepatic dysfunction and infection after major liver resection. Gut. Edinburgh Liver Surgery and Transplantation Experimental Research Group (eLISTER) 54 (2) 289-296.
25. Shapiro W., Green S., Burger P., Mahaley M., Selker R., VanGilder J., Robertson J., Ransohoff J., Mealey Jr. J., Strike T.A., et al. Randomized trial of three chemotherapy regimens and two radiotherapy regimens and two radiotherapy regimens in postoperative treatment of malignant glioma. Brain Tumor Cooperative Group Trial 8001. J. Neurosurg. 71 1 (1989) 1-9
26. Shen D., Lao Z., Zeng J., Zhang W.I.A., Sesterhenn I.A., Sun L., Moul J.W., Herskovits E.H., Fichtinger G., and Davatzikos C. Optimization of biopsy strategy by a statistical atlas of prostate cancer distribution. Med. Image Anal. 8 2 (2004) 139-150
27. Siddoway, D., Ingeholm, M.L., Burgert, O., Neumuth, T., Watsona, V., Cleary, K., 2007. Workflow in interventional radiology: nerve blocks and facet blocks. In Proceedings of SPIE Medical Imaging 2006: PACS and Imaging Informatics 6145, 61450B.
28. SIGN, 2007. http://www.ncigt.org/sign/index.html. Trevisan DG., Raftopoulos, C., Macq, B., Vanderdonckt, J., 2002. Modeling augmented reality system, image guided surgery case study. Proceedings of the 1st Glasgow Context Group Colloquium GCG.
29. Trevisan D., Vanderdonckt J., Macq B., and Raftopoulos C. Modeling interaction for image-guided procedures. Proceedings of SPIE Medical Imaging vol. 5029 (2003) 108-118
30. Vosburgh K.G., Stylopoulos N., San Jose Estepar R., Ellis R.E., Samset E., and Thompson C.C. EUS with CT improves efficiency and structure identification over conventional EUS. Gastrointest. Endosc. 65 6 (2007) 866-870
31. VTK, 2007. http://www.vtk.org/.
32. Welch G., and Foxlin E. Motion tracking: no silver bullet, but a respectable arsenal. IEEE Comput. Graph. Appl. 22 6 (2002) 24-38
33. 3D Slicer, 2007.http://www.slicer.org/.