Home Dental Radiology Accuracy of ITK-SNAP software for 3D analysis of a non-regular topography structure

Accuracy of ITK-SNAP software for 3D analysis of a non-regular topography structure

by adminjay


  • 1.

    Villoria EM, Lenzi AR, Soares RV, Souki BQ, Sigurdsson A, Marques AP, et al. Post-processing open-source software for the CBCT monitoring of periapical lesions healing following endodontic treatment: technical report of two cases. Dentomaxillofac Radiol. 2017;46:20160293.

  • 2.

    Vallaeys K, Kacem A, Legoux H, Le Tenier M, Hamitouche C, Arbab-Chirani R. 3D dento-maxillary osteolytic lesion and active contour segmentation pilot study in CBCT: semi-automatic vs manual methods. Dentomaxillofac Radiol. 2015;44:20150079.

  • 3.

    Bartikian M, Ferreira A, Gonçalves-Ferreira A, Neto LL. 3D printing anatomical models of head bones. Surg Radiol Anat. 2018. https://doi.org/10.1007/s00276-018-2148-4.

  • 4.

    Weissheimer A, De Menezes LM, Sameshima GT, Enciso R, Pham J, Grauer D. Imaging software accuracy for 3-dimensional analysis of the upper airway. Am J Orthod Dentofac Orthop. 2012;142:801–13.

  • 5.

    Pinheiro ML, Yatabe M, Ioshida M, Orlandi L, Dumast PD, Trindade-Suedam IK. Volumetric reconstruction and determination of minimum cross-sectional area of the pharynx in patients with cleft lip and palate: comparison between two different softwares. J Appl Oral Sci. 2018;26:1–7.

  • 6.

    Brasil DM, Kurita LM, Groppo FC, Haiter-Neto F. Relationship of craniofacial morphology in 3-dimensional analysis of the pharynx. Am J Orthod Dentofac Orthop. 2016;149:683–91.

  • 7.

    Nejaim Y, Aps JKM, Groppo FC, Haiter Neto F. Evaluation of pharyngeal space and its correlation with mandible and hyoid bone in patients with different skeletal classes and facial types. Am J Orthod Dentofac Orthop. 2018;153:825–33.

  • 8.

    Grauer D, Cevidanes LSH, Styner MA, Ackerman JL, Proffit WR. Pharyngeal airway volume and shape from cone-beam computed tomography: relationship to facial morphology. Am J Orthod Dentofac Orthop. 2009;136:805–14.

  • 9.

    Gomes AF, Gamba TO, Yamasaki MC, Groppo FC, Haiter-Neto F, Possobon RF. Development and validation of a formula based on maxillary sinus measurements as a tool for sex estimation: a cone beam computed tomography study. Int J Legal Med. 2019;133(4):1241–49.

  • 10.

    Nejaim Y, Farias Gomes A, Valadares CV, Costa ED, Peroni LV, Groppo FC, et al. Evaluation of volume of the sphenoid sinus according to sex, facial type, skeletal class, and presence of a septum: a cone-beam computed tomographic study. Br J Oral Maxillofac Surg. 2019;57:336–40.

  • 11.

    Oliveira JM, Alonso MD, de Sousa ETMJ, Fuziy A, Scocate AC, Costa AL. Volumetric study of sphenoid sinuses: anatomical analysis in helical computed tomography. Surg Radiol Anat. 2017;39(4):367–74.

  • 12.

    Ge Z-P, Yang P, Li G, Zhang J, Ma X-C. Age estimation based on pulp cavity/chamber volume of 13 types of tooth from cone beam computed tomography images. Int J Legal Med. 2016;130:1159–67.

  • 13.

    Gomes AF, Nejaim Y, Brasil DM, Groppo FC, Ferreira Caria PH, Haiter Neto F. Assessment of volume and height of the coronoid process in patients with different facial types and skeletal classes: a cone-beam computed tomography study. J Oral Maxillofac Surg. 2015;73(1395):e1–e5.

  • 14.

    Kirmeier R, Arnetzl C, Robl T, Payer M, Lorenzoni M, Jakse N. Reproducibility of volumetric measurements on maxillary sinuses. Int J Oral Maxillofac Surg. 2011;40:195–9.

  • 15.

    Shaheen E, Khalil W, Ezeldeen M, Van de Casteele E, Sun Y, Politis C, et al. Accuracy of segmentation of tooth structures using 3 different CBCT machines. Oral Surg Oral Med Oral Pathol Oral Radiol. 2017;123:123–8.

  • 16.

    Loubele M, Jacobs R, Maes F, Denis K, White S, Coudyzer W, et al. Image quality vs radiation dose of four cone beam computed tomography scanners. Dentomaxillofac Radiol. 2008;37:309–19.

  • 17.

    Holberg C, Steinhäuser S, Geis P, Rudzki-Janson I. Cone-beam computed tomography in orthodontics: benefits and limitations. J Orofac Orthop. 2005;66:434–44.

  • 18.

    Liu Y, Olszewski R, Alexandroni ES, Enciso R, Xu T, Mah JK. The validity of in vivo tooth volume determinations from cone-beam computed tomography. Angle Orthod. 2010;80:160–6.

  • 19.

    El H, Palomo JM. Measuring the airway in 3 dimensions: a reliability and accuracy study. Am J Orthod Dentofac Orthop. 2010;137:S50.e1–9 (discussion S50-S52).

  • 20.

    Yushkevich PA, Yang Gao, Gerig G. ITK-SNAP: an interactive tool for semi-automatic segmentation of multi-modality biomedical images. In: Conf. Proc. … Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Conf. 2016. 2016. p. 3342–5.

  • 21.

    Pinheiro ML, Yatabe M, Ioshida M, Orlandi L, de Dumast P, Trindade-Suedam IK. Volumetric reconstruction and determination of minimum crosssectional area of the pharynx in patients with cleft lip and palate: comparison between two different softwares. J Appl Oral Sci. 2018;26:e20170282.

  • 22.

    Ge Z, Ma R, Li G, Zhang J, Ma X. Age estimation based on pulp chamber volume of first molars from cone-beam computed tomography images. Forensic Sci Int. 2015;253(133):e1–e7.

  • 23.

    Khalil W, EzEldeen M, Van De Casteele E, Shaheen E, Sun Y, Shahbazian M, et al. Validation of cone beam computed tomography-based tooth printing using different three-dimensional printing technologies. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016;121:307–15.

  • 24.

    Johnson HJ, Mccormick MM, IbáNez L, Insight Software Consortium. The ITK software guide book 1: introduction and development guidelines fourth edition updated for ITK version 4.13.0. 4a Edition. community@itk.org. 2017.

  • 25.

    Fyllingen EH, Stensjøen AL, Berntsen EM, Solheim O, Reinertsen I. Glioblastoma segmentation: comparison of three different software packages. PLoS ONE. 2016;11:e0164891.

  • 26.

    Lee D-K, Yoon U, Kwak K, Lee J-M. automated segmentation of cerebellum using brain mask and partial volume estimation map. Comput Math Methods Med. 2015;2015:167489.

  • 27.

    Prabhat M, Rai S, Kaur M, Prabhat K, Bhatnagar P, Panjwani S. Computed tomography based forensic gender determination by measuring the size and volume of the maxillary sinuses. J Forensic Dent Sci. 2016;8:40.

  • 28.

    Kim D-I, Lee U-Y, Park S-O, Kwak D-S, Han S-H. Identification using frontal sinus by three-dimensional reconstruction from computed tomography. J Forensic Sci. 2013;58:5–12.

  • 29.

    Farzal Z, Walsh J, Lopes-de-Rezende-Barbosa G, Zdanski CJ, Davis SD, Superfine R, et al. Volumetric nasal cavity analysis in children with unilateral and bilateral cleft lip and palate. Laryngoscope. 2016;126:1475–80.



  • Source link

    Related Articles