2013 CAMI Scientific publications

  1. Clackdoyle R., and Desbat L., Full data consistency conditions for cone-beam projections with sources on a plane. Phys. Med. Biol. 58 :8437-8456, 2013
  2. Chenu, O., Vuillerme, N., Bucki M., Diot, B., Cannard, F. & Payan Y. (2013). TexiCare: An innovative embedded device for pressure ulcer prevention. Preliminary results with a paraplegic volunteer. Journal of Tissue Viability, Vol. 22, pp. 83-90. DOI: 10.1016/j.jtv.2013.05.002.
  3. Voros, A. Moreau-Gaudry, B. Tamadazte, G. Custillon, R. Heus, M.-P. Montmasson, F. Giroud, O. Gaiffe, C. Pieralli, G. Fiard, J.-A. Long, J.-L. Descotes, C. Vidal, A. Nguyen-Dinh, et P. Cinquin, « Devices and systems targeted towards augmented robotic radical prostatectomy », IRBM, vol. 34, no 2, p. 139-146, avr. 2013.
  4. Tamadazte B., Voros S., Boschet C., Cinquin P., et Fouard C., « Augmented 3-D View for Laparoscopy Surgery », to appear in Augmented Environments for Computer-Assisted Interventions, C. A. Linte, E. C. S. Chen, M.-O. Berger, J. T. Moore, et D. R. H. III, Éd. Springer Berlin Heidelberg, 2013, p. 117-131.
  5. Robert AL, Chagnon G, Bricault I, Cinquin P, Moreau-Gaudry A. A generic three-dimensional static force distribution basis for a medical needle inserted into soft tissue. J Mech Behav Biomed Mater. 2013 Dec;28:156-70. doi:10.1016/j.jmbbm.2013.07.023. Epub 2013 Aug 9. PubMed PMID: 23988636.
  6. Robert AL, Chagnon G, Cinquin P, Moreau-Gaudry A. Using a 3D needle-tissue force distribution basis to optimise the design of an instrumented needle. Comput Methods Biomech Biomed Engin. 2013;16 Suppl 1:320-2. doi:10.1080/10255842.2013.815933. PubMed PMID: 23923958.
  7. Rosa, B and Erden, MS and Vercauteren, T and Herman, B and Szewczyk, J and Morel, G (2013). Building large mosaics of confocal endomicroscopic images using visual servoing. IEEE Transactions on Biomedical Engineering. Vol 60 No 4 Pages 1041 – 1049.
  8. Mahé, J. and Vercauteren, T. and Rosa, B. and Dauguet, J. (2013). A Viterbi approach to topology inference for large scale endomicroscopy video mosaicing. Medical Image Computing and Computer Assisted Intervention, MICCAI’ 2013, pp 404-411.
  9. Poquet C., Mozer P., Morel G., and Vitrani M.-A. (2013), A novel comanipulation device for assisting needle placement in ultrasound guided prostate biopsies, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov. 2013, pp. 4084–4091
  10. Sandoval, Z. and Dillenseger, J.L., Intensity-based similarity measures evaluation for CT to ultrasound 2D registration. IRBM. 34(4–5): p. 278-282, 2013.
  11. Wu, K., Garnier, C., Shu, H. and Dillenseger, J.L., Prostate segmentation on T2 MRI using Optimal Surface Detection. IRBM. 34(4–5): p. 287-290, 2013.
  12. Ruggieri, V.G., Anselmi, A., Wang, Q., Esneault, S., Haigron, P. and Verhoye, J.P., Computed tomography image processing to detect the real mechanism of bioprosthesis failure: implication for valve-in-valve implantation. The Journal of heart valve disease. 22(2): p. 236-8, 2013.
  13. Garcia, M., Velut, J., Dominique, B., Leclercq, C., Garreau, M., Haigron, P. and Toumoulin, C., Coronary Vein Extraction in MSCT Volumes using Minimum Cost Path and Geometrical Moments. Biomedical and Health Informatics, IEEE Journal of. 17(2): p. 336-345, 2013.
  14. Couapel, J.P., Senhadji, L., Rioux-Leclercq, N., Verhoest, G., Lavastre, O., de Crevoisier, R. and Bensalah, K., Optical spectroscopy techniques can accurately distinguish benign and malignant renal tumours. BJU international. 111(6): p. 865-71, 2013.
  15. Nguyen, D.L.H., Garreau, M., Auffret, V., Le Breton, H., Verhoye, J. and Haigron, P. Intraoperative tracking of aortic valve plane. in IEEE Engineering in Medicine and Biology Society (EMBC). 4378 – 4381, 2013.
  16. Sandoval, Z. and Dillenseger, J.-L. Evaluation of Computed Tomography to Ultrasound 2D Image Registration for Atrial Fibrillation Treatment. in Computing in Cardiology (CinC). 245-248, 2013.
  17. Betancur, J., Schnell, F., Simon, A., Tavard, F., Donal, E., Hernández, A. and Garreau, M. Spatio-temporal Registration of 2D US and 3D MR Images for the Characterization of Hypertrophic Cardiomyopathy. in Functional Imaging and Modeling of the Heart. 292-299, 2013.
  18. Betancur, J., Simon, A., Schnell, F., Tavard, F., Donal, E., Hernandez, A. and Garreau, M. Dynamic Registration of Multiple-view-US and MRI for the Characterization of Hypertrophic Cardiomyopathy. in Computing In Cardiology (CinC). LNCS7945. p. 237 – 240, 2013.
  19. Maurice X., Graebling P., Doignon C., Real-time structured light coding for adaptive patterns,  Journal of Real-Time Image Processing, 2013.
  20. Neumann M, Breton E, Interventional MRI using robotics vision, Strasbourg, France Life Imaging (FLI) Technical and scientific workshop (WP3: Interventional Imaging & WP2: Instrumentation), Strasbourg, France, November 20-22 2013
  21. Neumann M, Cuvillon L, Breton E, de Mathelin M. Evaluation of an Image-based Tracking Workflow with Kalman Filtering for Automatic Image Plane Alignment in Interventional MRI; in IEEE Engineering in Medicine and Biology 2013, July 3-7 2013, Osaka, Japan, pp. 2968-71
  22. Schell J-B, Kammerer J-B, Hébrard L, Gounot D, Breton E, Cuvillon L de Mathelin M. Towards a Hall Effect Magnetic Tracking Device for MRI; in IEEE Engineering in Medicine and Biology 2013, July 3-7 2013, Osaka, Japan, pp. 2964-7
  23. Vallier S., Troccaz J., Gabelle-Frandin , Payan Y. Biomechanical breast modelling to improve patient positioning during breast cancer radiotherapy. Comput Methods Biomech Biomed Engin. 2013 Jul;16 Suppl 1:278-9
  24. Luboz V., Perrier A., Stavness I., Lloyd J.E., Bucki M., Cannard F., Diot B., Vuillerme N. & Payan Y. (2013). Foot Ulcer Prevention Using Biomechanical Modeling. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. DOI: 10.1080/21681163.2013.837410.
  25. Nazari M., Perrier P. & Payan Y. (2013). The DLM, a 3D Finite Element Muscle Model Based on Feldman’s lambda Model, and Assessment of Orofacial Gestures. Journal of Speech, Language, and Hearing Research, Vol. 56(6), pp. 1909-1923. DOI : 10.1044/1092-4388(2013/12-0222).
  26. Stavness I., Nazari M., Perrier P., Demolin D. & Payan Y. (2013). A Biomechanical Modeling Study of the Effects of the Orbicularis Oris Muscle and Jaw Posture on Lip Shape. Journal of Speech, Language, and Hearing Research, Vol. 56, pp. 878-890. DOI: 10.1044/1092-4388(2012/12-0200).
  27. Bucki M., Payan Y., Cannard F., Diot B. & Vuillerme N. (2013). Multi-Modal Framework for Subject-Specific Finite Element Model Generation aimed at Pressure Ulcer Prevention. Computer Methods in Biomechanics and Biomedical Engineering, Vol. 16, No. S1, pp. 147–148, http://dx.doi.org/10.1080/10255842.2013.815861.
  28. Stavness I., M. Nazari, C. Flynn, P. Perrier, Y. Payan, J. Lloyd and S. Fels (2014). Coupled Biomechanical Modeling of the Face, Jaw, Skull, Tongue, and Hyoid Bone. In 3D Multiscale Physiological Human, Nadia Magnenat-Thalmann, Osman Ratib & Hon Fai Choi editors, Chapter 11, Springer Verlag London. DOI : 10.1007/978-1-4471-6275-9_11.
  29. Luboz V., Perrier A., Bucki M., Cannard F., Diot B., Vuillerme N. & Payan Y. (2013). Dynamic biomechanical modeling for foot ulcer prevention. Computer Methods in Biomechanics and Biomedical Engineering, Vol. 16, No. S1, pp. 149–151, http://dx.doi.org/10.1080/10255842.2013.815863.
  30. Dumenil, A., Kaladji, A., Castro, M., Esneault, S., Lucas, A., Rochette, M., Goksu, C. and Haigron, P., Finite-Element-Based Matching of Pre- and Intraoperative Data for Image-Guided Endovascular Aneurysm Repair. Biomedical Engineering, IEEE Transactions on. 60(5): p. 1353-1362, 2013.
  31. Kaladji, A., Dumenil, A., Castro, M., Cardon, A., Becquemin, J.P., Bou-Said, B., Lucas, A. and Haigron, P., Prediction of deformations during endovascular aortic aneurysm repair using finite element simulation. Computerized Medical Imaging and Graphics. 37(2): p. 142-9, 2013.
  32. Kaladji, A., Dumenil, A., Castro, M., Haigron, P., Heautot, J.-F. and Haulon, S., Endovascular aortic repair of a postdissecting thoracoabdominal aneurysm using intraoperative fusion imaging. Journal of Vascular Surgery. 57(4): p. 1109-1112, 2013.
  33. Haigron, P., Duménil, A., Kaladji, A., Rochette, M., Bou Said, B., Esneault, S., Walter-Le Berre, H., Mouktadiri, G., Castro, M., Louat, P., Roche, D., Göksu, C., Marzelle, J., Cardon, A., Becquemin, J.P. and Lucas, A., Angiovision: Aortic stent-graft placement by augmented angionavigation. IRBM. 34(2): p. 167-175, 2013.
  34. Zhang, P., De Crevoisier, R., Simon, A., Haigron, P., Coatrieux, J.L., Li, B. and Shu, H., A new deconvolution approach to robust fluence for intensity modulation under geometrical uncertainty. Phys Med Biol. 58(17): p. 6095-110, 2013.
  35. Vappou, J. Magnetic resonance- and ultrasound imaging-based elasticity imaging methods: A review. Critical Reviews in Biomedical Engineering, Volume 40, Issue 2, Pages 121-134, Invited Review
  36. Erden M., Rosa B., Szewczyk J. and Morel G. (2013). Understanding Soft Tissue Behavior for Application to Microlaparoscopic Surface Scan, IEEE Transactions on Biomedical Engineering. Vol. 60, Issue 4, pp 1059-1068.
  37. Erden M., Rosa B. , Boularot N. , Gayet B. Morel G. and Szewczyk J. (2013), Conic-spiraleur: a miniature distal scanner for confocal microlaparoscope, IEEE/ASME Transactions on Mechatronics, Vol. n°99, pp 1-13, 2013.
  38. Abdulrahman Albakri, Chao Liu, Philippe Poignet, « Stability and performance analysis of three-channel teleoperation control architectures for medical applications », IEEE/RSJ International Conference on  Intelligent Robots and Systems (IROS), pp. 456-462, 2013.
  39. Bernardes M., Adorno B. V., Poignet P., Borges G., « Robot-assisted automatic insertion of steerable needles with closed-loop imaging feedback and intraoperative trajectory replanning », Mechatronics 23, 6 (2013) 630-645.
  40. Trévillot V., Sobral R., Dombre E., Poignet P., Herman B., Crampette L., « Innovative Endoscopic Sino-Nasal and Anterior Skull Base Robotics », International Journal for Computer Assisted Radiology and Surgery (2013) 11.
  41. Dombre E., Chaillet N., De Mathelin M.. Towards intracorporeal robotics, dans  Medical robotics, Wiley, 2013.
  42. Dombre E., de Mathelin M., Troccaz J.. Characteristics and state of the art, dans  Medical Robotics, Wiley, 2013.
  43. Gangloff J., Nageotte F., Poignet P.. Vision-based control, dans  Medical Robotics, John Wiley & Sons, 2013.
  44. Goffin L., Bour G., Martel F., Nicolau S., Gangloff J., Egly J., Bayle B.. Design and In Vivo Evaluation of a Robotized Needle Insertion System for Small Animals,  IEEE Transactions on Biomedical Engineering, August 2013.
  45. De Donno A., Nageotte F., Zanne P., Goffin L., De Mathelin M.. Using simulation to design control strategies for robotic no-scar surgery, dans  Medecine Meets Virtual Reality 20 (NextMed/MMVR) Studies in Health Technology and Informatics, San-Diego, CA, États-Unis, February 2013.
  46. Fiard G, Hohn N, Descotes JL, Rambeaud JJ, Troccaz J, Long JA. Targeted MRI-guided prostate biopsies for the detection of prostate cancer: Initial clinical experience with real-time 3-dimensional transrectal ultrasound guidance and magnetic resonance/transrectal ultrasound image fusion Urology, 2013:81(6):1372-8, online March 1013
  47. Voros S., Moreau-Gaudry A., Tamadazte B., Custillon G., Heus R., Montmasson M.-P., Giroud F., Gaiffe O., Pieralli C., Fiard G., Long J.-A., Descotes J.-L., Vidal C., Nguyen-Dinh A., et Cinquin P., « Devices and systems targeted towards augmented robotic radical prostatectomy », IRBM, vol. 34, no 2, p. 139-146, avr. 2013.
  48. Tamadazte B., Voros S., Boschet C., Cinquin P., et Fouard C., « Augmented 3-D View for Laparoscopy Surgery », to appear in Augmented Environments for Computer-Assisted Interventions, C. A. Linte, E. C. S. Chen, M.-O. Berger, J. T. Moore, et D. R. H. III, Éd. Springer Berlin Heidelberg, 2013, p. 117-131.