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Erschienen in:
A Review of Automated Techniques for Cervical Cell Image Analysis and Classification Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

Patient-Specific Modelling in Orthopedics: From Image to Surgery

verfasst von : G. T. Gomes, S. Van Cauter, M. De Beule, L. Vigneron, C. Pattyn, E. A. Audenaert

Erschienen in: Biomedical Imaging and Computational Modeling in Biomechanics

Verlag: Springer Netherlands

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Abstract

In orthopedic surgery, to decide upon intervention and how it can be optimized, surgeons usually rely on subjective analysis of medical images of the patient, obtained from computed tomography, magnetic resonance imaging, ultrasound or other techniques. Recent advancements in computational performance, image analysis and in silico modeling techniques have started to revolutionize clinical practice through the development of quantitative tools, including patient specific models aiming at improving clinical diagnosis and surgical treatment. Anatomical and surgical landmarks as well as features extraction can be automated allowing for the creation of general or patient specific models based on statistical shape models. Preoperative virtual planning and rapid prototyping tools allow the implementation of customized surgical solutions in real clinical environments. In the present chapter we discuss the applications of some of these techniques in orthopedics and present new computer-aided tools that can take us from image analysis to customized surgical treatment.

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Vorheriges Kapitel Hip Prostheses Computational Modeling: FEM Simulations Integrated with Fatigue Mechanical Tests
Nächstes Kapitel Micro-scale Analysis of Compositional and Mechanical Properties of Dentin Using Homotopic Measurements
Literatur
Ahn DG, Lee JY, Yang DY (2006) Rapid prototyping and reverse engineering application for orthopedic surgery planning. J Mech Sci Technol 20(1):19–28CrossRef
Anaya AM, Vigneron L, Diab M, Burch S (2011) Evaluation of virtual planning, rapid prototyping modeling, and image-guided navigation in periacetabular osteotomy. In: Proceedings of computer assisted radiology and surgery 2011, S111
Audenaert EA, Baelde N, Huysse W, Vigneron L, Pattyn C (2010) Development of a three-dimensional detection method of cam deformities in femoroacetabular impingement. Skeletal Radiol 40:921–927CrossRef
Audenaert E, Vigneron L, Pattyn C (2011) A method for three-dimensional evaluation and computer aided treatment of femoroacetabular impingement. Comput Aided Surg 16:143–148CrossRef
Bagaria V, Deshpande S, Rasalkar DD, Kuthe A, Paunipagar BK (2011) Use of rapid prototyping and three-dimensional reconstruction modeling in the management of complex fractures. Eur J Radiol 80(3):814–820. Epub 2011 Jan 22. Review. http:/pubmed/21256690 CrossRef
Baldwin MA, Langenderfer JE, Rullkoetter PJ, Laz PJ (2010) Development of subject specific and statistical shape models of the knee using an efficient segmentation and mesh-morphing approach. Comput Methods Programs Biomed 97:232–240CrossRef
Barratt DC, Chan CS, Edwards PJ, Penney GP, Slomczykowski M, Carter TJ et al (2008) Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging. Med Image Anal 12:358–374CrossRef
Behiels G, Maes F, Vandermeulen D, Suetens P (2002) Evaluation of image features and search strategies for segmentation of bone structures in radiographs using active shape models. Med Image Anal 6:47–62CrossRef
Benameur S, Mignotte M, Parent S, Labelle H, Skalli W, de Guise J (2003) 3D/2D registration and segmentation of scoliotic vertebrae using statistical models. Comput Med Imag Graph 27:321–337CrossRef
Birnbaum K, Schkommodau E, Decker N, Prescher A, Klapper U, Radermacher K (2001) Computer-assisted orthopedic surgery with individual templates and comparison to conventional operation method. Spine 26:365–370CrossRef
Blanz V, Mehl A, Vetter T, Seidel HP. (2004) A statistical method for robust 3D surface reconstruction from sparse data. In: International symposium on 3D data processing, visualization and transmission, Thessaloniki, Greece, pp 293–300
Blemker SS, Asakawa DS, Gold GE, Delp SL (2007) Image-based musculoskeletal modeling: applications, advances, and future opportunities. J Magn Reson Imaging 25(2):441–451CrossRef
Bookstein FL (1997) Landmark methods for forms without landmarks: morphometrics of group differences in outline shape. Med Image Anal 1(3):225–243CrossRef
Brown GA, Firoozbakhsh K, DeCoster TA, Reyna JR Jr, Moneim M (2003) Rapid prototyping: the future of trauma surgery? J Bone Joint Surg 85(4):49–55
Bryan R, Nair PB, Taylor M (2009) Use of a statistical model of the whole femur in a large scale, multi-model study of femoral neck fracture risk. J Biomech 42:2171–2176CrossRef
Cerveri P, Marchente M, Bartels W, Corten K, Simon JP, Manzotti A (2010) Automated method for computing the morphological and clinical parameters of the proximal femur using heuristic modeling techniques. Ann Biomed Eng 38(5):1752–1766CrossRef
Cootes TF, Taylor CJ (2004) Anatomical statistical models and their role in feature extraction. Br J Radiol 77:S133–S139CrossRef
Cootes TF, Taylor CJ, Cooper D, Graham J (1995) Active shape models – their training and application. Comput Vis Image Underst 61:38–59CrossRef
Delaunay S, Dussault RG, Kaplan PA, Alford BA (1997) Radiographic measurements of dysplastic adult hips. Skeletal Radiol 26(2):75–81CrossRef
Delp SL, Loan JP (1995) A graphics-based software system to develop and analyze models of musculoskeletal structures. Comput Biol Med 25(1):21–34CrossRef
Delp SL, Anderson FC, Arnold AS, Loan P, Habib A, John CT, Guendelman E, Thelen DG (2007) OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng 54:1940–1950CrossRef
Dryden IL, Mardia K (1998) Statistical shape analysis. Wiley, ChichesterMATH
Ehrhardt J, Handels H, Plötz W, Pöppl SJ (2004) Atlas-based recognition of anatomical structures and landmarks and the automatic computation of orthopedic parameters. Methods Inf Med 43(4):391–397
Fleute M, Lavallée S (1998) Building a complete surface model from sparse data using statistical shape model. Lect Notes Comput Sci 1496:879–887CrossRef
Gomes GT (2011) Automatic feature extraction and statistical shape analysis of the Femur. Submitted to computer methods in biomechanics and biomedical engineering
Grood ES, Suntay WJ (1983) A joint coordinate system for the clinical description of three-dimensional motions: application to the knee. J Biomech Eng 105(2):136–144CrossRef
Hafez MA, Chelule KL, Seedhom BB, Sherman KP (2006) Computer-assisted total knee arthroplasty using patient-specific templating. Clin Orthop Relat Res 444:184–192CrossRef
Hananouchi T, Saito M, Koyama T, Hagio K, Murase T, Sugano N, Yoshikawa H (2009) Tailor-made surgical guide based on rapid prototyping technique for cup insertion in total hip arthroplasty. Int J Med Robot 5(2):164–169CrossRef
Hankemeier S, Gosling T, Richter M, Hufner T, Hochhausen C, Krettek C (2006) Computer-assisted analysis of lower limb geometry: higher intraobserver reliability compared to conventional method. Comput Aided Surg 11(2):81–86
Heimann T, Meinzer HP (2009) Statistical shape models for 3D medical image segmentation: a review. Med Image Anal 13:543–563CrossRef
Hopkinson N, Hague R, Dickens P (2005) Rapid manufacturing: an industrial revolution for the digital age. Wiley, ChichesterCrossRef
Jolliffe IT (2002) Principal component analysis, 2nd edn. Springer, New YorkMATH
Kunz M, Rudan JF, Xenoyannis GL, Ellis RE (2010) Computer assisted hip resurfacing using individualized drill templates. J Arthroplasty 25(4):600–606CrossRef
Kurazume R, Nakamura K, Okada T, Sato Y, Sugano N, Koyama T, Iwashita Y, Hasegawa T (2009) 3D reconstruction of a femoral shape using a parametric model and two 2d fluoroscopic images. Comput Vis Image Underst 113(2):202–211CrossRef
Lamecker H, Seebass M, Hege HC, Deuflhard P (2004) A 3d statistical shape model of the pelvic bone for segmentation. In: Fitzpatrick JM, Sonka M (eds), SPIE 5370(1):1341–1351
Leong NL, Buijze GA, Fu EC, Stockmans F, Jupiter JB (2010) Computer-assisted versus non-computer-assisted preoperative planning of corrective osteotomy for extra-articular distal radius malunions: a randomized controlled trial. BMC Musculoskelet Disord 11:282CrossRef
Lerner AL, Tamez-Pena JG, Houck JR, Yao J, Harmon HL, Salo AD, Totterman SM (2003) The use of sequential MR image sets for determining tibiofemoral motion: reliability of coordinate systems and accuracy of motion tracking algorithm. J Biomech Eng 125(2):246–253CrossRef
Lombardi AV, Berend KR, Adams JB (2008) Patient-specific approach in total knee arthroplasty. Orthopedics 31(9):927–930CrossRef
Morton NA, Maletsky LP, Pal S, Laz PJ (2007) Effect of variability in anatomical landmark location on knee kinematic description. J Orthop Res 25(9):1221–1230CrossRef
Nizard R (2002) Computer assisted surgery for total knee arthroplasty. Acta Orthop Belg 68(3):215–230
Nofrini L, Slomczykowski M, Iacono F, Marcacci M (2004) Evaluation of accuracy in ankle center location for tibial mechanical axis identification. J Invest Surg 17(1):23–29
Oka K, Moritomo H, Goto A et al (2008) Corrective osteotomy for malunited intra-articular fracture of the distal radius using a custom-made surgical guide based on three-dimensional computer simulation: case report. J Hand Surg Am 33:835–840CrossRef
Oka K, Murase T, Moritomo H, Goto A, Sugamoto K, Yoshikawa H (2010) Corrective osteotomy using customized hydroxyapatite implants prepared by preoperative computer simulation. Int J Med Robot 6(2):186–193
Paley D (2002) Normal lower limb alignment and joint orientation. In: Paley D, Herzenberg JE (eds) Principles of deformity correction. Springer, New York
Pattyn C, De Smedt K, Gelaude F, Clijmans T, Dille J, Geebelen B, Audenaert E (2010) A custom-made guide for femoral component positioning in hip resurfacing arthroplasty: development and validation study. J Biomech 43(1)
Raaijmaakers M, Gelaude F, De Smedt K, Clijmans T, Dille J, Mulier M (2010) A custom-made guide-wire positioning device for hip surface replacement arthroplasty: description and first results. BMC Musculoskelet Disord 11:161CrossRef
Radermacher K, Portheine F, Anton M, Zimolong A, Kaspers G, Rau G, Staudte HW (1998) Computer assisted orthopaedic surgery with image-based individual templates. Clin Orthop Relat Res 354:28–38CrossRef
Rajamani KT, Styner MA, Talib H, Zheng G, Nolte LP, Gonzáles Ballester MA (2007) Statistical deformable bone models for robust 3D surface extrapolation from sparse data. Med Image Anal 11:99–109CrossRef
Rueckert D, Sonoda LI, Hayes C, Hill DLG, Leach MO, Hawkes DJ (1999) Non-rigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imag 18:712–721CrossRef
Schöttle PB, Schmeling A, Rosenstiel N, Weiler A (2007) Radiographic land-marks for femoral tunnel placement in medial patellofemoral ligament reconstruction. Am J Sports Med 35(5):801–804CrossRef
Siston RA, Giori NJ, Goodman SB, Delp SL (2007) Surgical navigation for total knee arthroplasty: a perspective. J Biomech 40(4):728–735CrossRef
Stindel E, Briard JL, Merloz P, Plaweski S, Dubrana F, Lefevre C et al (2002) Bone morphing: 3D morphological data for total knee arthroplasty. Comput Aid Surg 7:156–168CrossRef
Styner M, Lieberman JA, McClure RK, Weinberger DR, Jones DW, Gerig G (2005) Morphometric analysis of lateral ventricles in schizophrenia and healthy controls regarding genetic and disease specific factors. Proc Natl Acad Sci USA 102(13):4872–4877CrossRef
Subburaj K, Ravi B, Agarwal M (2009) Automated identification of anatomical landmarks on 3D bone models reconstructed from CT scan images. Comput Med Imaging Graph 33(5):359–368CrossRef
Subburaj K, Ravi B, Agarwal M (2010) Computer-aided methods for assessing lower limb deformities in orthopaedic surgery planning. Comput Med Imaging Graph 34(4):277–288CrossRef
Tang TS, Ellis RE (2005) 2D/3D deformable registration using a hybrid atlas. Med Image Comput Comput Assist Interv 8:223–230
Van Cauter S, De Beule M, Van Haver A, Verdonk P, Verhegghe B (2012) Automated extraction of the femoral anatomical axis for determining the intramedullary rod parameters in total knee arthroplasty. Int J Numer Methods Biomed Eng 28(1):158–169
Van Sint Jan S (2007) Color atlas of skeletal landmark definitions. Guidelines for reproducible manual and virtual palpations. Churchill Livingstone–Elsevier, Edinburgh
Van Sint Jan S, Della Croce U (2005) Identifying the location of human skeletal landmarks: why standardized definitions are necessary-a proposal. Clin Biomech (Bristol, Avon) 20(6):659–660CrossRef
Victor J, Van Doninck D, Labey L, Innocenti B, Parizel PM, Bellemans J (2009) How precise can bony landmarks be determined on a CT scan of the knee? Knee 16(5):358–365CrossRef
Wolf A, Digioia AM 3rd, Mor AB, Jaramaz B (2005) Cup alignment error model for total hip arthroplasty. Clin Orthop Relat Res 437:132–137CrossRef
Wong KC, Kumta SM, Antonio GE, Tse LF (2008) Image fusion for computer-assisted bone tumor surgery. Clin Orthop Relat Res 466(10):2533–2541CrossRef
Wong KC, Kumta SM, Leung KS, Ng KW, Ng EW, Lee KS (2010) Integration of CAD/CAM planning into computer assisted orthopaedic surgery. Comput Aided Surg 15(4–6):65–74CrossRef
Yang YM, Rueckert D, Bull AMJ (2008) Predicting the shapes of bones at a joint: application to the shoulder. Comput Methods Biomech Biomed Eng 11(1):19–30CrossRef
Yoon YS, Hodgson AJ, Tonetti J, Masri BA, Duncan CP (2008) Resolving inconsistencies in defining the target orientation for the acetabular cup angles in total hip arthroplasty. Clin Biomech 23(3):253–259CrossRef
Yoshino N, Takai S, Ohtsuki Y, Hirasawa Y (2001) Computed tomography measurement of the surgical and clinical transepicondylar axis of the distal femur in osteoarthritic knees. J Arthroplasty 16(4):493–497CrossRef
Zheng G, Schumann S (2009) 3D reconstruction of a patient-specific surface model of the proximal femur from calibrated X-ray radiographs: a validation study. Med Phys 36:1155–1166CrossRef
Zheng G, Gonzáles-Ballester MA, Styner M, Nolte LP (2006) Reconstruction of patient specific 3d bone surface from 2d calibrated fluoroscopic images and point distribution model. Lect Notes Comput Sci 4190:25–32CrossRef
Zheng G, Gollmer S, Schumann S, Dong X, Feilkas T, Ballester MAG (2008) A 2d/3d correspondence building method for reconstruction of a patient-specific 3d bone surface model using point distribution models and calibrated X-ray images. Med Image Anal 13(6):883–899CrossRef
Ziegler CG, Pietrini SD, Westerhaus BD, Anderson CJ, Wijdicks CA, Johansen S, Engebretsen L, Laprade RF (2010) Arthroscopically pertinent landmarks for tunnel positioning in single-bundle and double-bundle anterior cruciate ligament reconstructions. Am J Sports Med 39(4):743–752CrossRef
Metadaten
Titel
Patient-Specific Modelling in Orthopedics: From Image to Surgery
verfasst von
G. T. Gomes
S. Van Cauter
M. De Beule
L. Vigneron
C. Pattyn
E. A. Audenaert
Copyright-Jahr
2013
Verlag
Springer Netherlands
Buch
Biomedical Imaging and Computational Modeling in Biomechanics

Print ISBN: 978-94-007-4269-7

Electronic ISBN: 978-94-007-4270-3

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-94-007-4270-3_6

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