125 related articles for article (PubMed ID: 31416554)
1. Comparison between different screening strategies to determine the statistical shape model of the pelvises for implant design.
Shih KS; Hsu CP; Liu CW; Wang LL; Hou SM; Lin SC
Comput Methods Programs Biomed; 2019 Sep; 178():265-273. PubMed ID: 31416554
[TBL] [Abstract][Full Text] [Related]
2. Statistical shape model-based reconstruction of a scaled, patient-specific surface model of the pelvis from a single standard AP x-ray radiograph.
Zheng G
Med Phys; 2010 Apr; 37(4):1424-39. PubMed ID: 20443464
[TBL] [Abstract][Full Text] [Related]
3. Development of predictive statistical shape models for paediatric lower limb bones.
Shi B; Barzan M; Nasseri A; Carty CP; Lloyd DG; Davico G; Maharaj JN; Diamond LE; Saxby DJ
Comput Methods Programs Biomed; 2022 Oct; 225():107002. PubMed ID: 35882107
[TBL] [Abstract][Full Text] [Related]
4. 2D/3D reconstruction of the distal femur using statistical shape models addressing personalized surgical instruments in knee arthroplasty: A feasibility analysis.
Cerveri P; Sacco C; Olgiati G; Manzotti A; Baroni G
Int J Med Robot; 2017 Dec; 13(4):. PubMed ID: 28387436
[TBL] [Abstract][Full Text] [Related]
5. Automated segmentation of the femur and pelvis from 3D CT data of diseased hip using hierarchical statistical shape model of joint structure.
Yokota F; Okada T; Takao M; Sugano N; Tada Y; Sato Y
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):811-8. PubMed ID: 20426186
[TBL] [Abstract][Full Text] [Related]
6. A statistical shape model to predict the premorbid glenoid cavity.
Abler D; Berger S; Terrier A; Becce F; Farron A; Büchler P
J Shoulder Elbow Surg; 2018 Oct; 27(10):1800-1808. PubMed ID: 29958822
[TBL] [Abstract][Full Text] [Related]
7. Statistical descriptions of scaphoid and lunate bone shapes.
van de Giessen M; Foumani M; Streekstra GJ; Strackee SD; Maas M; van Vliet LJ; Grimbergen KA; Vos FM
J Biomech; 2010 May; 43(8):1463-9. PubMed ID: 20185138
[TBL] [Abstract][Full Text] [Related]
8. Pair-wise vs group-wise registration in statistical shape model construction: representation of physiological and pathological variability of bony surface morphology.
Cerveri P; Belfatto A; Manzotti A
Comput Methods Biomech Biomed Engin; 2019 May; 22(7):772-787. PubMed ID: 30931618
[TBL] [Abstract][Full Text] [Related]
9. Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis.
van Veldhuizen WA; van der Wel H; Kuipers HY; Kraeima J; Ten Duis K; Wolterink JM; de Vries JPM; Schuurmann RCL; IJpma FFA
J Clin Med; 2023 May; 12(11):. PubMed ID: 37297962
[TBL] [Abstract][Full Text] [Related]
10. 2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models.
Baka N; Kaptein BL; de Bruijne M; van Walsum T; Giphart JE; Niessen WJ; Lelieveldt BP
Med Image Anal; 2011 Dec; 15(6):840-50. PubMed ID: 21600836
[TBL] [Abstract][Full Text] [Related]
11. Best methods and data to reconstruct paediatric lower limb bones for musculoskeletal modelling.
Davico G; Pizzolato C; Killen BA; Barzan M; Suwarganda EK; Lloyd DG; Carty CP
Biomech Model Mechanobiol; 2020 Aug; 19(4):1225-1238. PubMed ID: 31691037
[TBL] [Abstract][Full Text] [Related]
12. Restoration of the Patient-Specific Anatomy of the Proximal and Distal Parts of the Humerus: Statistical Shape Modeling Versus Contralateral Registration Method.
Vlachopoulos L; Lüthi M; Carrillo F; Gerber C; Székely G; Fürnstahl P
J Bone Joint Surg Am; 2018 Apr; 100(8):e50. PubMed ID: 29664855
[TBL] [Abstract][Full Text] [Related]
13. Clinical relevance of augmented statistical shape model of the scapula in the glenoid region.
Salhi A; Burdin V; Brochard S; Mutsvangwa TE; Borotikar B
Med Eng Phys; 2020 Feb; 76():88-94. PubMed ID: 31902570
[TBL] [Abstract][Full Text] [Related]
14. Integration of cortical thickness data in a statistical shape model of the scapula.
Pitocchi J; Wirix-Speetjens R; van Lenthe GH; Pérez MÁ
Comput Methods Biomech Biomed Engin; 2020 Aug; 23(10):642-648. PubMed ID: 32364819
[TBL] [Abstract][Full Text] [Related]
15. Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs.
Saito A; Nawano S; Shimizu A
Med Image Anal; 2016 Feb; 28():46-65. PubMed ID: 26716720
[TBL] [Abstract][Full Text] [Related]
16. Optimisation of orthopaedic implant design using statistical shape space analysis based on level sets.
Kozic N; Weber S; Büchler P; Lutz C; Reimers N; González Ballester MA; Reyes M
Med Image Anal; 2010 Jun; 14(3):265-75. PubMed ID: 20359938
[TBL] [Abstract][Full Text] [Related]
17. Reconstruction of the lower limb bones from digitised anatomical landmarks using statistical shape modelling.
Nolte D; Ko ST; Bull AMJ; Kedgley AE
Gait Posture; 2020 Mar; 77():269-275. PubMed ID: 32092603
[TBL] [Abstract][Full Text] [Related]
18. A shape-partitioned statistical shape model for highly deformed femurs using X-ray images.
Chien J; Ha HG; Lee S; Hong J
Comput Assist Surg (Abingdon); 2022 Dec; 27(1):50-62. PubMed ID: 36510708
[TBL] [Abstract][Full Text] [Related]
19. Developing a three-dimensional statistical shape model of normal dentition using an automated algorithm and normal samples.
Kim HH; Choi S; Chang YI; Yi WJ; Ahn SJ
Clin Oral Investig; 2023 Feb; 27(2):759-772. PubMed ID: 36484849
[TBL] [Abstract][Full Text] [Related]
20. Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model.
Okada T; Shimada R; Hori M; Nakamoto M; Chen YW; Nakamura H; Sato Y
Acad Radiol; 2008 Nov; 15(11):1390-403. PubMed ID: 18995190
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]