End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures

Cleary K, Peters TM (2010) Image-guided interventions: Technology review and clinical applications. Annual Review of Biomedical Engineering 12(1):119–142. https://doi.org/10.1146/annurev-bioeng-070909-105249

Article  CAS  PubMed  Google Scholar 

Markelj P, Tomaževič D, Likar B, Pernuš F (2012) A review of 3D/2D registration methods for image-guided interventions. Med Image Anal 16(3):642–661

Article  CAS  PubMed  Google Scholar 

Aisen A, Martel W, Braunstein E, McMillin K, Phillips W, Kling T (1986) MRI and CT evaluation of primary bone and soft-tissue tumors. American Journal of Roentgenology 146(4):749–756. https://doi.org/10.2214/ajr.146.4.749

Article  CAS  PubMed  Google Scholar 

Fadero PE, Shah M (2014) Three dimensional (3D) modelling and surgical planning in trauma and orthopaedics. The Surgeon 12(6):328–333. https://doi.org/10.1016/j.surge.2014.03.008

Article  PubMed  Google Scholar 

Grunert P (2004) Intradural lumbar disc herniations: The role of MRI in preoperative diagnosis and review of the literature. Neurosurgical Review 27(2):82–82. https://doi.org/10.1007/s10143-003-0304-7

Article  Google Scholar 

Saini A, Saifuddin A (2004) MRI of osteonecrosis. Clinical Radiology 59(12):1079–1093. https://doi.org/10.1016/j.crad.2004.04.014

Article  CAS  PubMed  Google Scholar 

Otake Y, Armand M, Armiger RS, Kutzer MD, Basafa E, Kazanzides P, Taylor RH (2012) Intraoperative image-based multiview 2D/3D registration for image-guided orthopaedic surgery: Incorporation of fiducial-based C-arm tracking and GPU-acceleration. IEEE Trans Med Imaging 31(4):948–962. https://doi.org/10.1109/tmi.2011.2176555

Article  PubMed  Google Scholar 

Dempsey MF, Condon B, Hadley DM (2002) MRI safety review. Semin. Ultrasound CT MR 23(5):392–401. https://doi.org/10.1016/s0887-2171(02)90010-7

Article  PubMed  Google Scholar 

Grupp RB, Hegeman RA, Murphy RJ, Alexander CP, Otake Y, McArthur BA, Armand M, Taylor RH (2020) Pose estimation of periacetabular osteotomy fragments with intraoperative x-ray navigation. IEEE. Trans. Biomed. Eng. 67(2):441–452. https://doi.org/10.1109/TBME.2019.2915165

Article  PubMed  Google Scholar 

Gao C, Farvardin A, Grupp RB, Bakhtiarinejad M, Ma L, Thies M, Unberath M, Taylor RH, Armand M (2020) Fiducial-free 2D/3D registration for robot-assisted femoroplasty. IEEE Trans. Med. Robot. Bionics. 2(3):437–446. https://doi.org/10.1109/TMRB.2020.3012460

Article  PubMed  PubMed Central  Google Scholar 

Grupp RB, Unberath M, Gao C, Hegeman RA, Murphy RJ, Alexander CP, Otake Y, McArthur BA, Armand M, Taylor RH (2020) Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration. Int J Comput Assist Radiol Surg 15:759–769

Article  PubMed  PubMed Central  Google Scholar 

Liu M, Martin-Gomez A, Oni JK, Mears SC, Armand M (2022) Towards visualising early-stage osteonecrosis using intraoperative imaging modalities. Comput Methods Biomech Biomed Eng Imaging Vis, 1–9

Boulanger M, Nunes J-C, Chourak H, Largent A, Tahri S, Acosta O, De Crevoisier R, Lafond C, Barateau A (2021) Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review. Phys. Med. 89:265–281

Article  CAS  PubMed  Google Scholar 

Ku P-C, Martin-Gomez A, Gao C, Grupp R, Mears SC, Armand M (2022) Towards 2D/3D registration of the preoperative mri to intraoperative fluoroscopic images for visualisation of bone defects. Comput Methods Biomech Biomed Eng Imaging Vis, 1–10

Hoesl M, Corral EN, Nilesh M (2022) White paper: MR-based synthetic CT reimagined. Technical Report VB60, Siemens Healthineers Headquarters, Siemens Healthcare GmbH, Erlangen, Germany

Oulbacha R, Kadoury S (2020) MRI to C-arm spine registration through pseudo-3d cyclegans with differentiable histograms. Med Phys 47(12):6319–6333

Article  PubMed  Google Scholar 

Tustison NJ, Avants BB, Cook PA, Zheng Y, Egan A, Yushkevich PA, Gee JC (2010) N4ITK: Improved N3 bias correction. IEEE Trans Med Imaging 29(6):1310–1320. https://doi.org/10.1109/TMI.2010.2046908

Article  PubMed  PubMed Central  Google Scholar 

Isensee F, Jaeger PF, Kohl SA, Petersen J, Maier-Hein KH (2021) nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2):203–211

Article  CAS  PubMed  Google Scholar 

Kaushik SS, Bylund M, Cozzini C, Shanbhag D, Petit SF, Wyatt JJ, Menzel MI, Pirkl C, Mehta B, Chauhan V et al (2023) Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network. Phys Med Biol 68(19):195003

Article  Google Scholar 

Isola P, Zhu J-Y, Zhou T, Efros AA (2017) Image-to-image translation with conditional adversarial networks. In: Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit., pp. 1125–1134

Nyholm T, Svensson S, Andersson S, Jonsson J, Sohlin M, Gustafsson C, Kjellén E, Söderström K, Albertsson P, Blomqvist L et al (2018) MR and CT data with multiobserver delineations of organs in the pelvic area–part of the gold atlas project. Med Phys 45(3):1295–1300

Article  PubMed  Google Scholar 

Hansen N, Müller SD, Koumoutsakos P (2003) Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evol Comput 11(1):1–18. https://doi.org/10.1162/106365603321828970

Article  PubMed  Google Scholar 

Klein S, Staring M, Murphy K, Viergever MA, Pluim JPW (2010) elastix: A toolbox for intensity-based medical image registration. IEEE Trans Med Imaging 29(1):196–205. https://doi.org/10.1109/TMI.2009.2035616

Article  PubMed  Google Scholar 

Oberacker E, Paul K, Huelnhagen T, Oezerdem C, Winter L, Pohlmann A, Boehmert L, Stachs O, Heufelder J, Weber A, al (2016) Magnetic resonance safety and compatibility of tantalum markers used in proton beam therapy for intraocular tumors: A 7.0 tesla study. Magn Reson Med 78(4), 1533–1546 https://doi.org/10.1002/mrm.26534

Hartley R, Zisserman A (2019) Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge

Gao C, Grupp RB, Unberath M, Taylor RH, Armand M (2020) Fiducial-free 2D/3D registration of the proximal femur for robot-assisted femoroplasty. In: Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 11315, pp. 350–355

Woerner M, Voelkl K, Ferner F, Weber M, Renkawitz T, Grifka J, Craiovan B (2023) Avascular necrosis of the femoral head: Three-dimensional measurement of drilling precision reveals high accuracy and no difference between fluoroscopically controlled core decompression and cancellous bone grafting. Archives of Orthopaedic and Trauma Surgery 143(8):4713–4719. https://doi.org/10.1007/s00402-022-04753-2

Article  PubMed  Google Scholar 

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