Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models

Nolte D, Ko S-T, Bull AM, Kedgley AE (2020) Reconstruction of the lower limb bones from digitised anatomical landmarks using statistical shape modelling. Gait Posture 77:269–275

Article  PubMed  PubMed Central  Google Scholar 

Blanc R, Seiler C, Székely G, Nolte L-P, Reyes M (2012) Statistical model based shape prediction from a combination of direct observations and various surrogates: Application to orthopaedic research. Med Image Anal 16(6):1156–1166

Article  PubMed  Google Scholar 

Yang YM, Rueckert D, Bull AM (2008) Predicting the shapes of bones at a joint: application to the shoulder. Comput Methods Biomech Biomed Eng 11(1):19–30

Article  Google Scholar 

Zhang J, Fernandez J, Hislop-Jambrich J, Besier TF (2016) Lower limb estimation from sparse landmarks using an articulated shape model. J Biomech 49(16):3875–3881

Article  PubMed  Google Scholar 

Davico G, Pizzolato C, Killen BA, Barzan M, Suwarganda EK, Lloyd DG, Carty CP (2020) Best methods and data to reconstruct paediatric lower limb bones for musculoskeletal modelling. Biomech Model Mechanobiol 19:1225–1238

Article  PubMed  Google Scholar 

Zhang J, Malcolm D, Hislop-Jambrich J, Thomas CDL, Nielsen PM (2014) An anatomical region-based statistical shape model of the human femur. Comput Methods Biomech Biomed Eng Imaging Vis 2(3):176–185

Article  Google Scholar 

Dupraz I, Bollinger A, Deckx J, Schierjott RA, Utz M, Jacobs M (2022) Using statistical shape models to optimize TKA implant design. Appl Sci 12(3):1020

Article  CAS  Google Scholar 

Baka N, Kaptein BL, Bruijne M, Walsum T, Giphart J, Niessen WJ, Lelieveldt BP (2011) 2d–3d shape reconstruction of the distal femur from stereo x-ray imaging using statistical shape models. Med Image Anal 15(6):840–850

Article  CAS  PubMed  Google Scholar 

Hohlmann B, Brößner P, Phlippen L, Rohde T, Radermacher K (2023) Knee bone models from ultrasound. Ferroelectrics, and Frequency Control, IEEE Transactions on Ultrasonics

Rajamani KT, Styner MA, Talib H, Zheng G, Nolte LP, Ballester MAG (2007) Statistical deformable bone models for robust 3D surface extrapolation from sparse data. Med Image Anal 11(2):99–109

Article  PubMed  Google Scholar 

Tycowicz C, Ambellan F, Mukhopadhyay A, Zachow S (2018) An efficient Riemannian statistical shape model using differential coordinates: with application to the classification of data from the osteoarthritis initiative. Med Image Anal 43:1–9

Article  Google Scholar 

Lynch JT, Schneider MT, Perriman DM, Scarvell JM, Pickering MR, Asikuzzaman M, Galvin CR, Besier TF, Smith PN (2019) Statistical shape modelling reveals large and distinct subchondral bony differences in osteoarthritic knees. J Biomech 93:177–184

Article  PubMed  Google Scholar 

Cerveri P, Belfatto A, Manzotti A (2020) Predicting knee joint instability using a tibio-femoral statistical shape model. Front Bioeng Biotechnol 8:253

Article  PubMed  PubMed Central  Google Scholar 

Zeng J, Zeng Y, Wu Y, Liu Y, Xie H, Shen B (2020) Acetabular anatomical parameters in patients with idiopathic osteonecrosis of the femoral head. J Arthroplast 35(2):331–334

Article  Google Scholar 

Zhang R-Y, Su X-Y, Zhao J-X, Li J-T, Zhang L-C, Tang P-F (2020) Three-dimensional morphological analysis of the femoral neck torsion angle-an anatomical study. J Orthop Surg Res 15:1–8

CAS  PubMed  PubMed Central  Google Scholar 

Boutillon A, Salhi A, Burdin V, Borotikar B (2022) Anatomically parameterized statistical shape model: explaining morphometry through statistical learning. IEEE Trans Biomed Eng 69(9):2733–2744

Article  PubMed  Google Scholar 

Hollenbeck JF, Cain CM, Fattor JA, Rullkoetter PJ, Laz PJ (2018) Statistical shape modeling characterizes three-dimensional shape and alignment variability in the lumbar spine. J Biomech 69:146–155

Article  PubMed  Google Scholar 

Cerveri P, Belfatto A, Manzotti A (2019) Representative 3D shape of the distal femur, modes of variation and relationship with abnormality of the trochlear region. J Biomech 94:67–74

Article  PubMed  Google Scholar 

Boykov Y, Veksler O, Zabih R (2001) Fast approximate energy minimization via graph cuts. IEEE Trans Pattern Anal Mach Intell 23(11):1222–1239

Article  Google Scholar 

Fonov V, Evans AC, Botteron K, Almli CR, Mckinstry RC, Collins DL, Group BDC, et al (2019) Unbiased average age appropriate atlases for pediatric studies. Neuroimage, 54(1):313–327

Zhang J, Hislop-Jambrich J, Besier TF (2016) Predictive statistical models of baseline variations in 3-D femoral cortex morphology. Med Eng Phys 38(5):450–457

Article  PubMed  Google Scholar 

Günther K-P, Deckert S, Lützner C, Lange T, Schmitt J, Postler A (2021) Total hip replacement for osteoarthritis-evidence-based and patient-oriented indications. Deutsch Ärztebl Int 118(43):730

Google Scholar 

Gao J, Xing D, Dong S, Lin J (2020) The primary total knee arthroplasty: a global analysis. J Orthop Surg Res 15:1–12

Article  Google Scholar 

Egger B, Schirmer MD, Dubost F, Nardin MJ, Rost NS, Golland P ( 2019) Patient-specific conditional joint models of shape, image features and clinical indicators. In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV 22, Springer, pp 93– 101

Hanik M, Hege H-C, Hennemuth A, Tycowicz C ( 2020) Nonlinear regression on manifolds for shape analysis using intrinsic bézier splines. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, pp 617– 626

Banerjee M, Chakraborty R, Ofori E, Okun MS, Viallancourt DE, Vemuri BC ( 2016) A nonlinear regression technique for manifold valued data with applications to medical image analysis. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4424– 4432

Verma M, Joshi S, Tuli A, Raheja S, Jain P, Srivastava P (2017) Morphometry of proximal femur in Indian population. J Clin Diagn Res: JCDR 11(2):01

Google Scholar 

Hartel MJ, Petersik A, Schmidt A, Kendoff D, Nüchtern J, Rueger JM, Lehmann W, Grossterlinden LG (2016) Determination of femoral neck angle and torsion angle utilizing a novel three-dimensional modeling and analytical technology based on ct datasets. PloS One 11(3):0149480

Article  Google Scholar 

Terzidis I, Totlis T, Papathanasiou E, Sideridis A, Vlasis K, Natsis K (2012) Gender and side-to-side differences of femoral condyles morphology: osteometric data from 360 caucasian dried femori. Anat Res Int 2012:679658

PubMed  PubMed Central  Google Scholar 

Audenaert E, Pattyn C, Steenackers G, De Roeck J, Vandermeulen D, Claes P (2019) Statistical shape modeling of skeletal anatomy for sex discrimination: their training size, sexual dimorphism, and asymmetry. Front Bioeng Biotechnol 7:302

Gaffney BM, Hillen TJ, Nepple JJ, Clohisy JC, Harris MD ( 2019) Statistical shape modeling of femur shape variability in female patients with hip dysplasia. J Orthop Res® 37(3):665– 673

Zheng G, Dong X, Rajamani KT, Zhang X, Styner M, Thoranaghatte RU, Nolte L-P, Ballester MAG (2007) Accurate and robust reconstruction of a surface model of the proximal femur from sparse-point data and a dense-point distribution model for surgical navigation. IEEE Trans Biomed Eng 54(12):2109–2122

Article  PubMed  Google Scholar 

Asvadi A, Dardenne G, Troccaz J, Burdin V (2021) Bone surface reconstruction and clinical features estimation from sparse landmarks and statistical shape models: A feasibility study on the femur. Med Eng Phys 95:30–38

Article  PubMed  Google Scholar 

Zhang J, Besier TF (2017) Accuracy of femur reconstruction from sparse geometric data using a statistical shape model. Comput Methods Biomech Biomed Eng 20(5):566–576

Article  Google Scholar 

Guezou-Philippe A, Clavé A, Maguet E, Maintier L, Garraud C, Fouefack J-R, Burdin V, Stindel E, Dardenne G (2024) Fully automated workflow for the design of patient-specific orthopaedic implants: application to total knee arthroplasty. arXiv preprint arXiv:2403.15353

Factor S, Gurel R, Dan D, Benkovich G, Sagi A, Abialevich A, Benkovich V (2024) Validating a novel 2D to 3D knee reconstruction method on preoperative total knee arthroplasty patient anatomies. J Clin Med 13(5):1255

Article  PubMed  PubMed Central  Google Scholar 

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