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Image Processing and Visualization Techniques

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Book cover Maxillofacial Cone Beam Computed Tomography

Abstract

Optimal imaging in cone beam computed tomography (CBCT) comprises consideration of a sequence of discrete but interrelated processes, referred to as the imaging chain. Image display is the final process and involves reconstruction of the primary images, image visualization, post-processing, and quantitative analysis. The purpose of this Chapter is to introduce the clinician to the concepts of image display, detail the various 2- and 3-D rendition techniques used to optimize visual display, and describe and illustrate the application of post-processing image enhancements for specific dental and maxillofacial clinical tasks

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References

  • Anderson PJ, Hall CE, Evans RD, Hayward RD, Harkness WJ, Jones BM (1997a) Cervical spine anomalies in Crouzon syndrome. Spine 22:402–405

    Article  CAS  PubMed  Google Scholar 

  • Anderson PJ, Hall CE, Evans RD, Hayward RD, Harkness WJ, Jones BM (1997b) Cervical spine anomalies in Pfeiffer’s syndrome. J Craniofac Surg 7:275–279

    Article  Google Scholar 

  • Araki K, Maki K, Seki K, Sakamaki K, Harata Y, Sakaino R, Okano T, Seo K (2004) Characteristics of a newly developed dentomaxillofacial X-ray cone beam CT scanner (CB MercuRayTM): system configuration and physical properties. Dentomaxillofac Radiol 33:51–59

    Article  CAS  PubMed  Google Scholar 

  • Benateau H, Chevallier E, Hamon M, Edy E, Keswani R, Labbe D et al (2002) The three-dimensional spiral scanner and volume rendering technique: importance in craniofacial traumatology and reconstructive surgery. Rev Stomatol Chir Maxillofac 103:233–238

    CAS  PubMed  Google Scholar 

  • Brinker MR, Weeden SH, Whitecloud TS 3rd (1997) Congenital anomalies of the cervical spine. In: Frymoyer JW (ed) The adult spine: principles and practice. Lippincott-Raven, Philadelphia, pp 1205–1222

    Google Scholar 

  • Cai W, Sakas G (1998) Maximum intensity projection using splatting in sheared object space. In: Proceedings EUROGRAPHICS ’98, pp C113–C124

    Google Scholar 

  • Calhoun PS, Kuszyk BS, Heath DG, Carley JC, Fishman EK (1999) Three-dimensional volume rendering of spiral CT data: theory and method. Radiographics 19:745–764

    Article  CAS  PubMed  Google Scholar 

  • Chen LS, Herman GT, Reynolds RA, Udupa JK (1985) Surface shading in the cuberille environment. IEEE Comput Graph Appl 5:33–43

    Google Scholar 

  • Ciccarelli R, Di Salle F, Guidi G, Lavorgna G, Sagliocco R, Rotondo A, Smaltino F (1998) Three-dimensional imaging with computerized tomography. Etiologic considerations and methods for studying temporo-mandibular joints. Radiol Med (Torino) 95:417–423. (In Italian)

    CAS  Google Scholar 

  • Cline HE, Lorensen WE, Ludke S, Crawford CR, Teeter BC (1988) Two algorithms for the three-dimensional reconstruction of tomograms. Med Phys 15:320–327

    Article  CAS  PubMed  Google Scholar 

  • Cody DD (2002) AAPM/RSNA physics tutorial for residents: topics in CT. Image processing in CT. Radiographics 22:1255–1268

    Article  PubMed  Google Scholar 

  • Costa E, Silva AP, Antunes JL, Cavalcanti MG (2003) Interpretation of mandibular condyle fractures using 2D- and 3D-computed tomography. Braz Dent J 14:203–208

    Article  Google Scholar 

  • Fatterpekar GM, Doshi AH, Dugar M, Delman BN, Naidich TP, Som PM (2006) Role of 3D CT in the evaluation of the temporal bone. Radiographics 26(Suppl 1):S117–S132

    Article  PubMed  Google Scholar 

  • Figueroa AA, Friede H (1985) Craniovertebral malformations in hemifacial microsomia. J Craniofac Genet Dev Biol Suppl 1:167–178

    CAS  PubMed  Google Scholar 

  • Fox LA, Vannier MW, West OC, Wilson AJ, Baran GA, Pilgram TK (1995) Diagnostic performance of CT, MPR and 3DCT imaging in maxillofacial trauma. Comput Med Imaging Graph 19:385–395

    Article  CAS  PubMed  Google Scholar 

  • Gosain AK, McCarthy JG, Pinto RS (1994) Cervicovertebral anomalies and basilar impression in Goldenhar syndrome. Plast Reconstr Surg 93:498–506

    Article  CAS  PubMed  Google Scholar 

  • Heidrich W, McCool M, Stevens J (1995) Interactive maximum projection volume rendering. IEEE Proceedings Visualization ’95, pp 11–18

    Google Scholar 

  • Heiland M, Schmelzle R, Hebecker A, Schulze D (2004) Intraoperative 3D imaging of the facial skeleton using the SIREMOBIL IsoC3D. Dentomaxillofac Radiol 33:130–132

    Article  CAS  PubMed  Google Scholar 

  • Kuszyk BS, Heath DG, Bliss DF, Fishman EK (1996) Skeletal 3-D CT: advantages of volume rendering over surface rendering. Skelet Radiol 25:207–214

    Article  CAS  Google Scholar 

  • Kwon TG, Park HS, Ryoo HM, Lee SH (2006) A comparison of craniofacial morphology in patients with and without facial asymmetry—a three-dimensional analysis with computed tomography. Int J Oral Maxillofac Surg 35:43–48

    Article  PubMed  Google Scholar 

  • Lorensen WE, Cline HE (1987) Marching cubes: a high resolution 3D surface construction algorithm. Comput Graph 21:163–169

    Article  Google Scholar 

  • Mankovich NJ, Samson D, Pratt W, Lew D, Beumer J 3rd (1994) Surgical planning using three-dimensional imaging and computer modeling. Otolaryngol Clin N Am 27:875–889

    CAS  Google Scholar 

  • Medina LS (2000) Three-dimensional CT maximum intensity projections of the calvaria: a new approach for diagnosis of craniosynostosis and fractures. AJNR Am J Neuroradiol 21:1951–1954

    CAS  PubMed  Google Scholar 

  • Napel S, Marks MP, Rubin GD et al (1992) CT angiography with spiral CT and maximum intensity projection. Radiology 185:607–610

    Article  CAS  PubMed  Google Scholar 

  • Napel S, Rubin GD, Jeffrey RB Jr (1993) STS-MIP: a new reconstruction technique for CT of the chest. J Comput Assist Tomogr 17:832–838

    Article  CAS  PubMed  Google Scholar 

  • van Ooijen PM, Ho KY, Dorgelo J, Oudkerk M (2003) Coronary artery imaging with multidetector CT: visualization issues. Radiographics 23:e16

    Article  PubMed  Google Scholar 

  • Park SH, Yu HS, Kim KD, Lee KJ, Baik HS (2006) A proposal for a new analysis of craniofacial morphology by 3-dimensional computed tomography. Am J Orthod Dentofac Orthop 129:600.e23–600.e34

    Article  Google Scholar 

  • Prokop M, Shin HO, Schanz A, Schaefer-Prokop CM (1997) Use of maximum intensity projections in CT angiography: a basic review. Radiographics 17:433–451

    Article  CAS  PubMed  Google Scholar 

  • Reuben AD, Watt-Smith SR, Dobson D, Golding SJ (2005) A comparative study of evaluation of radiographs, CT and 3D reformatted CT in facial trauma: what is the role of 3D? Br J Radiol 78:198–201

    Article  CAS  PubMed  Google Scholar 

  • Sakas G, Grimm M, Savopoulos A (1995) Optimized maximum intensity projection. In: Proceedings of 5th EUROGRAPHICS Workshop on Rendering Techniques, Dublin, Ireland pp 55–63

    Google Scholar 

  • Solar P, Gahleitner A, Bednar A, Rodinger S, Watzek G (2001) Detection of the mandibular canal via shaded surface display and multiplanar reconstruction of CT data. J Oral Rehabil 28:243–256

    Article  CAS  PubMed  Google Scholar 

  • Swennen GRJ, Barth EL, Schutyser F, De Groeve P, Lemaitre A (2004) Three-dimensional (3-D) cephalometry, the basics for virtual planning. J Cranio Maxillofac Surg 32(Suppl 1):135

    Google Scholar 

  • Udupa JK (1999) Three-dimensional visualization and analysis methodologies: a current perspective. Radiographics 19:783–806

    Article  CAS  PubMed  Google Scholar 

  • Welander U, Nummikoski P, Tronje G, McDavid WD, Legrell PE, Langlais RP (1989) Standard forms of dentition and mandible for applications in rotational panoramic radiography. Dentomaxillofac Radiol 18:60–67

    Article  CAS  PubMed  Google Scholar 

  • Zuiderveld KJ, Koning AHJ, Viergever MA (1994) Techniques for speeding up high-quality perspective maximum intensity projection. Pattern Recogn Lett 15:507–517

    Article  Google Scholar 

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Correspondence to William C. Scarfe B.D.S., F.R.A.C.D.S., M.S. .

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Scarfe, W.C., Molteni, R., Mozzo, P. (2018). Image Processing and Visualization Techniques. In: Scarfe, W., Angelopoulos, C. (eds) Maxillofacial Cone Beam Computed Tomography. Springer, Cham. https://doi.org/10.1007/978-3-319-62061-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-62061-9_3

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