Special Issue “Advanced Imaging in Orthopedic Biomechanics”
Author Contributions
Conflicts of Interest
List of Contributions
- Trejo-Enriquez, A.; Urriolagoitia-Sosa, G.; Romero-Ángeles, B.; García-Laguna, M.; Guzmán-Baeza, M.; Martínez-Reyes, J.; Rojas-Castrejon, Y.; Gallegos-Funes, F.; Patiño-Ortiz, J.; Urriolagoitia-Calderón, G. Numerical Evaluation Using the Finite Element Method on Frontal Craniocervical Impact Directed at Intervertebral Disc Wear. Appl. Sci. 2023, 13, 11989. https://doi.org/10.3390/app132111989.
- Nowak, P.; Dąbrowski, M.; Druszcz, A.; Kubaszewski, Ł. The Spatial Characteristics of Intervertebral Foramina within the L4/L5 and L5/S1 Motor Segments of the Spine. Appl. Sci. 2024, 14, 2263. https://doi.org/10.3390/app14062263.
- Amran, N.; Basaruddin, K.; Ijaz, M.; Yazid, H.; Basah, S.; Muhayudin, N.; Sulaiman, A. Spine Deformity Assessment for Scoliosis Diagnostics Utilizing Image Processing Techniques: A Systematic Review. Appl. Sci. 2023, 13, 11555. https://doi.org/10.3390/app132011555.
- Moon, E.; Kim, S.; Kim, N.; Jang, M.; Deguchi, T.; Zheng, F.; Lee, D.; Kim, D. Aging Alters Cervical Vertebral Bone Density Distribution: A Cross-Sectional Study. Appl. Sci. 2022, 12, 3143. https://doi.org/10.3390/app12063143.
- Durastanti, G.; Belvedere, C.; Ruggeri, M.; Donati, D.; Spazzoli, B.; Leardini, A. A Pelvic Reconstruction Procedure for Custom-Made Prosthesis Design of Bone Tumor Surgical Treatments. Appl. Sci. 2022, 12, 1654. https://doi.org/10.3390/app12031654.
- Conconi, M.; De Carli, F.; Berni, M.; Sancisi, N.; Parenti-Castelli, V.; Monetti, G. In-Vivo Quantification of Knee Deep-Flexion in Physiological Loading Condition trough Dynamic MRI. Appl. Sci. 2023, 13, 629. https://doi.org/10.3390/app13010629.
- Bori, E.; Innocenti, B. Biomechanical Analysis of Femoral Stem Features in Hinged Revision TKA with Valgus or Varus Deformity: A Comparative Finite Elements Study. Appl. Sci. 2023, 13, 2738. https://doi.org/10.3390/app13042738.
- Campagnoli, E.; Siegler, S.; Ruiz, M.; Leardini, A.; Belvedere, C. Effect of Ligament Mapping from Different Magnetic Resonance Image Quality on Joint Stability in a Personalized Dynamic Model of the Human Ankle Complex. Appl. Sci. 2022, 12, 5087. https://doi.org/10.3390/app12105087.
- Dhont, T.; Huyghe, M.; Peiffer, M.; Hagemeijer, N.; Karaismailoglu, B.; Krahenbuhl, N.; Audenaert, E.; Burssens, A. Ins and Outs of the Ankle Syndesmosis from a 2D to 3D CT Perspective. Appl. Sci. 2023, 13, 10624. https://doi.org/10.3390/app131910624.
- Lintz, F.; de Cesar Netto, C.; Belvedere, C.; Leardini, A.; Bernasconi, A.; on behalf of the International Weight-Bearing CT Society. Recent Innovations Brought about by Weight-Bearing CT Imaging in the Foot and Ankle: A Systematic Review of the Literature. Appl. Sci. 2024, 14, 5562. https://doi.org/10.3390/app14135562.
- Serrato-Pedrosa, J.; Urriolagoitia-Sosa, G.; Romero-Ángeles, B.; Urriolagoitia-Calderón, G.; Cruz-López, S.; Urriolagoitia-Luna, A.; Carbajal-López, D.; Guereca-Ibarra, J.; Murillo-Aleman, G. Biomechanical Evaluation of Plantar Pressure Distribution towards a Customized 3D Orthotic Device: A Methodological Case Study through a Finite Element Analysis Approach. Appl. Sci. 2024, 14, 1650. https://doi.org/10.3390/app14041650.
- Maya-Anaya, D.; Urriolagoitia-Sosa, G.; Romero-Ángeles, B.; Martinez-Mondragon, M.; German-Carcaño, J.; Correa-Corona, M.; Trejo-Enríquez, A.; Sánchez-Cervantes, A.; Urriolagoitia-Luna, A.; Urriolagoitia-Calderón, G. Numerical Analysis Applying the Finite Element Method by Developing a Complex Three-Dimensional Biomodel of the Biological Tissues of the Elbow Joint Using Computerized Axial Tomography. Appl. Sci. 2023, 13, 8903. https://doi.org/10.3390/app13158903.
References
- Rego, J.; Tan, K. Advances in imaging-the changing environment for the imaging specialist. Perm. J. 2006, 10, 26–28. [Google Scholar] [CrossRef]
- Huang, H.K.; Aberle, D.R.; Lufkin, R.; Grant, E.G.; Hanafee, W.N.; Kangarloo, H. Advances in medical imaging. Ann. Intern. Med. 1990, 112, 203–220. [Google Scholar] [CrossRef]
- Ritt, P. Recent Developments in SPECT/CT. Semin. Nucl. Med. 2022, 52, 276–285. [Google Scholar] [CrossRef] [PubMed]
- Trevino, M.; Birdsong, G.; Carrigan, A.; Choyke, P.; Drew, T.; Eckstein, M.; Fernandez, A.; Gallas, B.D.; Giger, M.; Hewitt, S.M.; et al. Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration. JNCI Cancer Spectr. 2022, 6, pkab099. [Google Scholar] [CrossRef]
- Fazal, M.I.; Patel, M.E.; Tye, J.; Gupta, Y. The past, present and future role of artificial intelligence in imaging. Eur. J. Radiol. 2018, 105, 246–250. [Google Scholar] [CrossRef]
- Lee, T.Y.; Chhem, R.K. Impact of new technologies on dose reduction in CT. Eur. J. Radiol. 2010, 76, 28–35. [Google Scholar] [CrossRef]
- Raslau, F.D.; Escott, E.J.; Smiley, J.; Adams, C.; Feigal, D.; Ganesh, H.; Wang, C.; Zhang, J. Dose Reduction While Preserving Diagnostic Quality in Head CT: Advancing the Application of Iterative Reconstruction Using a Live Animal Model. AJNR Am. J. Neuroradiol. 2019, 40, 1864–1870. [Google Scholar] [CrossRef]
- Sailer, A.M.; van Zwam, W.H.; Wildberger, J.E.; Grutters, J.P. Cost-effectiveness modelling in diagnostic imaging: A stepwise approach. Eur. Radiol. 2015, 25, 3629–3637. [Google Scholar] [CrossRef]
- Glover, A.M.; Whitman, G.J.; Shin, K. Ergonomics in Radiology: Improving the Work Environment for Radiologists. Curr. Probl. Diagn. Radiol. 2022, 51, 680–685. [Google Scholar] [CrossRef]
- van der Velden, B.H.M.; Kuijf, H.J.; Gilhuijs, K.G.A.; Viergever, M.A. Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Med. Image Anal. 2022, 79, 102470. [Google Scholar] [CrossRef]
- Bucking, T.M.; Hill, E.R.; Robertson, J.L.; Maneas, E.; Plumb, A.A.; Nikitichev, D.I. From medical imaging data to 3D printed anatomical models. PLoS ONE 2017, 12, e0178540. [Google Scholar] [CrossRef] [PubMed]
- Panayides, A.S.; Amini, A.; Filipovic, N.D.; Sharma, A.; Tsaftaris, S.A.; Young, A.; Foran, D.; Do, N.; Golemati, S.; Kurc, T.; et al. AI in Medical Imaging Informatics: Current Challenges and Future Directions. IEEE J. Biomed. Health Inform. 2020, 24, 1837–1857. [Google Scholar] [CrossRef] [PubMed]
- Gargiulo, P.; Helgason, T.; Ramon, C.; Jonsson, H., Jr.; Carraro, U. CT and MRI Assessment and Characterization Using Segmentation and 3D Modeling Techniques: Applications to Muscle, Bone and Brain. Eur. J. Transl. Myol. 2014, 24, 3298. [Google Scholar] [CrossRef]
- Fokas, G.; Vaughn, V.M.; Scarfe, W.C.; Bornstein, M.M. Accuracy of linear measurements on CBCT images related to presurgical implant treatment planning: A systematic review. Clin. Oral Implant. Res. 2018, 29 (Suppl. S16), 393–415. [Google Scholar] [CrossRef] [PubMed]
- Barg, A.; Bailey, T.; Richter, M.; de Cesar Netto, C.; Lintz, F.; Burssens, A.; Phisitkul, P.; Hanrahan, C.J.; Saltzman, C.L. Weightbearing Computed Tomography of the Foot and Ankle: Emerging Technology Topical Review. Foot Ankle Int. 2018, 39, 376–386. [Google Scholar] [CrossRef] [PubMed]
- Scarfe, W.C.; Li, Z.; Aboelmaaty, W.; Scott, S.A.; Farman, A.G. Maxillofacial cone beam computed tomography: Essence, elements and steps to interpretation. Aust. Dent. J. 2012, 57 (Suppl. S1), 46–60. [Google Scholar] [CrossRef]
- Fleming, B.C. Imaging and Biomechanics. Am. J. Sports Med. 2019, 47, 19–21. [Google Scholar] [CrossRef]
- Galbusera, F.; Cina, A.; Panico, M.; Albano, D.; Messina, C. Image-based biomechanical models of the musculoskeletal system. Eur. Radiol. Exp. 2020, 4, 49. [Google Scholar] [CrossRef]
- Wang, L.; Chen, K.C.; Gao, Y.; Shi, F.; Liao, S.; Li, G.; Shen, S.G.; Yan, J.; Lee, P.K.; Chow, B.; et al. Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization. Med. Phys. 2014, 41, 043503. [Google Scholar] [CrossRef]
- Hussain, S.; Mubeen, I.; Ullah, N.; Shah, S.; Khan, B.A.; Zahoor, M.; Ullah, R.; Khan, F.A.; Sultan, M.A. Modern Diagnostic Imaging Technique Applications and Risk Factors in the Medical Field: A Review. BioMed Res. Int. 2022, 2022, 5164970. [Google Scholar] [CrossRef]
- Scarfe, W.C.; Farman, A.G.; Sukovic, P. Clinical applications of cone-beam computed tomography in dental practice. J. Can. Dent. Assoc. 2006, 72, 75–80. [Google Scholar] [PubMed]
- Rathnayaka, K.; Momot, K.I.; Noser, H.; Volp, A.; Schuetz, M.A.; Sahama, T.; Schmutz, B. Quantification of the accuracy of MRI generated 3D models of long bones compared to CT generated 3D models. Med. Eng. Phys. 2012, 34, 357–363. [Google Scholar] [CrossRef] [PubMed]
- Biedert, R.; Sigg, A.; Gal, I.; Gerber, H. 3D representation of the surface topography of normal and dysplastic trochlea using MRI. Knee 2011, 18, 340–346. [Google Scholar] [CrossRef] [PubMed]
- Inoue, A.; Ohnishi, T.; Kohno, S.; Nishida, N.; Nakamura, Y.; Ohtsuka, Y.; Matsumoto, S.; Ohue, S. Usefulness of an Image Fusion Model Using Three-Dimensional CT and MRI with Indocyanine Green Fluorescence Endoscopy as a Multimodal Assistant System in Endoscopic Transsphenoidal Surgery. Int. J. Endocrinol. 2015, 2015, 694273. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Belvedere, C.; Siegler, S. Special Issue “Advanced Imaging in Orthopedic Biomechanics”. Appl. Sci. 2024, 14, 8193. https://doi.org/10.3390/app14188193
Belvedere C, Siegler S. Special Issue “Advanced Imaging in Orthopedic Biomechanics”. Applied Sciences. 2024; 14(18):8193. https://doi.org/10.3390/app14188193
Chicago/Turabian StyleBelvedere, Claudio, and Sorin Siegler. 2024. "Special Issue “Advanced Imaging in Orthopedic Biomechanics”" Applied Sciences 14, no. 18: 8193. https://doi.org/10.3390/app14188193
APA StyleBelvedere, C., & Siegler, S. (2024). Special Issue “Advanced Imaging in Orthopedic Biomechanics”. Applied Sciences, 14(18), 8193. https://doi.org/10.3390/app14188193