Role of CT and MRI in the Design and Development of Orthopaedic Model Using Additive Manufacturing

Overview

Journal J Clin Orthop Trauma

Specialty Orthopedics

Date 2018 Sep 12

PMID 30202151

Citations 26

Authors

Abid Haleem

Mohd Javaid

Affiliations

Soon will be listed here.

Abstract

Objective: To study the role of Computed tomography (CT) and Magnetic resonance imaging (MRI) for design and development of orthopaedic model using additive manufacturing (AM) technologies.

Methods: A significant number of research papers in this area are studied to provide the direction of development along with the future scope.

Results: Briefly discussed various steps used to create a 3D model by Additive Manufacturing using CT and MRI scan. These scanning technologies are used to produce medical as well as orthopaedic implants by using AM technologies. The images so produced are exported in different software like OsiriX Imaging Software, 3D slicer, Mimics, Magics, 3D doctor and InVesalius to produce a 3D digital model. Various criteria's achieved by CT and MRI scan for design and development of orthopaedic implant using additive manufacturing are also discussed briefly. AM model created by this process show exact shape, size, dimensions, textures, colour and features.

Conclusion: AM technologies help to convert the digital model into a 3D physical object, thereby improving the understanding of patient anatomy for treatment as well as for educational purpose. These scanning technologies have various applications to enhance the AM in the field of orthopaedic. In orthopaedic every patient model is a customised unit, sourced from the individual patient. 3D CAD data captured by these scanning technologies are directly exported in standard triangulate language (STL) format for printing by AM technologies. Crossestion of the physical model fabricated by this process shows a patient's anatomy if the model prepared by using the bone-like material.

Citing Articles

Toward Fully Automated Personalized Orthopedic Treatments: Innovations and Interdisciplinary Gaps.

Luo Y Bioengineering (Basel). 2024; 11(8).

PMID: 39199775 PMC: 11351140. DOI: 10.3390/bioengineering11080817.

Comparative analysis of radiation exposure in robot-assisted total knee arthroplasty using popular robotic systems.

Saad A, Mayne A, Pagkalos J, Ollivier M, Botchu R, Davis E J Robot Surg. 2024; 18(1):120.

PMID: 38492073 DOI: 10.1007/s11701-024-01896-9.

Exploring the Role of Anatomical Imaging Techniques in Preoperative Planning for Orthopaedic Surgeries.

Patel K, Desai D, Bhatt J, Patel D, Satapara V Cureus. 2023; 15(10):e46622.

PMID: 37936988 PMC: 10626571. DOI: 10.7759/cureus.46622.

A new patient-specific overformed anatomical implant design method to reconstruct dysplastic femur trochlea.

Ozturk Y, Ayazoglu M, Ozturk C, Arabaci A, Solak N, Ozsoy S Sci Rep. 2023; 13(1):3204.

PMID: 36828989 PMC: 9958018. DOI: 10.1038/s41598-023-30341-4.

Stereolithography (STL) measurement rubric for the evaluation of craniomaxillofacial STLs.

Muller H, Fossey A 3D Print Med. 2022; 8(1):25.

PMID: 35934728 PMC: 9358852. DOI: 10.1186/s41205-022-00151-x.

References

Ripley B, Kelil T, Cheezum M, Goncalves A, Di Carli M, Rybicki F . 3D printing based on cardiac CT assists anatomic visualization prior to transcatheter aortic valve replacement. J Cardiovasc Comput Tomogr. 2016; 10(1):28-36. PMC: 5573584. DOI: 10.1016/j.jcct.2015.12.004. View

Vaishya R, Lal H . Three common orthopaedic surgical procedures of the lower limb. J Clin Orthop Trauma. 2018; 9(2):101-102. PMC: 5995158. DOI: 10.1016/j.jcot.2018.04.013. View

Huotilainen E, Jaanimets R, Valasek J, Marcian P, Salmi M, Tuomi J . Inaccuracies in additive manufactured medical skull models caused by the DICOM to STL conversion process. J Craniomaxillofac Surg. 2013; 42(5):e259-65. DOI: 10.1016/j.jcms.2013.10.001. View

Ventola C . Medical Applications for 3D Printing: Current and Projected Uses. P T. 2014; 39(10):704-11. PMC: 4189697. View

Wake N, Chandarana H, Huang W, Taneja S, Rosenkrantz A . Application of anatomically accurate, patient-specific 3D printed models from MRI data in urological oncology. Clin Radiol. 2016; 71(6):610-4. DOI: 10.1016/j.crad.2016.02.012. View

Javaid M, Haleem A . Current status and challenges of Additive manufacturing in orthopaedics: An overview. J Clin Orthop Trauma. 2019; 10(2):380-386. PMC: 6382947. DOI: 10.1016/j.jcot.2018.05.008. View

Cloonan A, Shahmirzadi D, Li R, Doyle B, Konofagou E, McGloughlin T . 3D-Printed Tissue-Mimicking Phantoms for Medical Imaging and Computational Validation Applications. 3D Print Addit Manuf. 2017; 1(1):14-23. PMC: 4981152. DOI: 10.1089/3dp.2013.0010. View

Rosset A, Spadola L, Ratib O . OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging. 2004; 17(3):205-16. PMC: 3046608. DOI: 10.1007/s10278-004-1014-6. View

Markl M, Schumacher R, Kuffer J, Bley T, Hennig J . Rapid vessel prototyping: vascular modeling using 3t magnetic resonance angiography and rapid prototyping technology. MAGMA. 2005; 18(6):288-92. DOI: 10.1007/s10334-005-0019-6. View

10.

Leng S, Diehn F, Lane J, Koeller K, Witte R, Carter R . Temporal Bone CT: Improved Image Quality and Potential for Decreased Radiation Dose Using an Ultra-High-Resolution Scan Mode with an Iterative Reconstruction Algorithm. AJNR Am J Neuroradiol. 2015; 36(9):1599-603. PMC: 7968759. DOI: 10.3174/ajnr.A4338. View

11.

Werner H, Dos Santos J, Fontes R, Daltro P, Gasparetto E, Marchiori E . Additive manufacturing models of fetuses built from three-dimensional ultrasound, magnetic resonance imaging and computed tomography scan data. Ultrasound Obstet Gynecol. 2010; 36(3):355-61. DOI: 10.1002/uog.7619. View

12.

Mitsouras D, Lee T, Liacouras P, Ionita C, Pietilla T, Maier S . Three-dimensional printing of MRI-visible phantoms and MR image-guided therapy simulation. Magn Reson Med. 2016; 77(2):613-622. PMC: 5108690. DOI: 10.1002/mrm.26136. View

13.

Suzuki M, Ogawa Y, Kawano A, Hagiwara A, Yamaguchi H, Ono H . Rapid prototyping of temporal bone for surgical training and medical education. Acta Otolaryngol. 2004; 124(4):400-2. DOI: 10.1080/00016480410016478. View

14.

Starosolski Z, Kan J, Rosenfeld S, Krishnamurthy R, Annapragada A . Application of 3-D printing (rapid prototyping) for creating physical models of pediatric orthopedic disorders. Pediatr Radiol. 2013; 44(2):216-21. DOI: 10.1007/s00247-013-2788-9. View

15.

Ruffins S, Martin M, Keough L, Truong S, Fraser S, Jacobs R . Digital three-dimensional atlas of quail development using high-resolution MRI. ScientificWorldJournal. 2007; 7:592-604. PMC: 5901279. DOI: 10.1100/tsw.2007.125. View

16.

Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J, Pujol S . 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012; 30(9):1323-41. PMC: 3466397. DOI: 10.1016/j.mri.2012.05.001. View

17.

Vaish A, Vaish R . 3D printing and its applications in Orthopedics. J Clin Orthop Trauma. 2018; 9(Suppl 1):S74-S75. PMC: 5883906. DOI: 10.1016/j.jcot.2018.02.003. View

18.

Hochman J, Rhodes C, Wong D, Kraut J, Pisa J, Unger B . Comparison of cadaveric and isomorphic three-dimensional printed models in temporal bone education. Laryngoscope. 2015; 125(10):2353-7. DOI: 10.1002/lary.24919. View

19.

Ballyns J, Gleghorn J, Niebrzydowski V, Rawlinson J, Potter H, Maher S . Image-guided tissue engineering of anatomically shaped implants via MRI and micro-CT using injection molding. Tissue Eng Part A. 2008; 14(7):1195-202. DOI: 10.1089/ten.tea.2007.0186. View

20.

Junior H, Lopes Dos Santos J, Belmonte S, Ribeiro G, Daltro P, Gasparetto E . Applicability of three-dimensional imaging techniques in fetal medicine. Radiol Bras. 2016; 49(5):281-287. PMC: 5094815. DOI: 10.1590/0100-3984.2015.0100. View