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2021 | OriginalPaper | Chapter

5. Computational Reconstruction of the Human Nasal Airway

Author : Jose Luis Cercos-Pita

Published in: Clinical and Biomedical Engineering in the Human Nose

Publisher: Springer Singapore

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Abstract

Reconstructing the human airways begins with image acquisition which involves the procurement of medical images typically from computed tomography (CT) or magnetic resonance (MR) imaging. This produces a 3D matrix of a series of 2D cross-sections, that contains information about tissues and anatomic structures. Reconstructing the airway from the medical scans involves segmentation of the region of interest. The segmentation step extracts a contiguous airway region which is ready for 3D model processing. This chapter discusses CT and MR scan imaging, followed by some common segmentation algorithms based on thresholding, edge detection, and region characteristics.

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Literature
1.
go back to reference M. Bal, L. Spies, Metal artifact reduction in CT using tissue-class modeling and adaptive prefiltering. Medical Phys. 33(8), 2852–2859 (2006)CrossRef M. Bal, L. Spies, Metal artifact reduction in CT using tissue-class modeling and adaptive prefiltering. Medical Phys. 33(8), 2852–2859 (2006)CrossRef
3.
go back to reference Y. Boyko, V. Kolmogorov, Computing geodesics and minimal surfaces via graph cuts, in null (IEEE, 2003), p. 26 Y. Boyko, V. Kolmogorov, Computing geodesics and minimal surfaces via graph cuts, in null (IEEE, 2003), p. 26
4.
go back to reference R. Brooks, G. Di Chiro, Beam hardening in x-ray reconstructive tomography. Phys. Med. Biol. 21(3), 390 (1976)CrossRef R. Brooks, G. Di Chiro, Beam hardening in x-ray reconstructive tomography. Phys. Med. Biol. 21(3), 390 (1976)CrossRef
5.
go back to reference N.L. Bui, S.H. Ong, K.W.C. Foong, Automatic segmentation of the nasal cavity and paranasal sinuses from cone-beam CT images. Int. J. Comput. Assist. Radiol. Surg. 10(8), 1269–1277 (2015)CrossRef N.L. Bui, S.H. Ong, K.W.C. Foong, Automatic segmentation of the nasal cavity and paranasal sinuses from cone-beam CT images. Int. J. Comput. Assist. Radiol. Surg. 10(8), 1269–1277 (2015)CrossRef
6.
go back to reference M. Burgos, E. Sanmiguel-Rojas, C. Del Pino, M. Sevilla-García, F. Esteban-Ortega, New CFD tools to evaluate nasal airflow. European Archives of Oto-Rhino-Laryngology 274(8), 3121–3128 (2017)CrossRef M. Burgos, E. Sanmiguel-Rojas, C. Del Pino, M. Sevilla-García, F. Esteban-Ortega, New CFD tools to evaluate nasal airflow. European Archives of Oto-Rhino-Laryngology 274(8), 3121–3128 (2017)CrossRef
7.
go back to reference J. Canny, A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679–698 (1986)CrossRef J. Canny, A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679–698 (1986)CrossRef
8.
go back to reference N. Carlini, D. Wagner, Towards evaluating the robustness of neural networks, in 2017 IEEE Symposium on Security and Privacy (SP) (IEEE, 2017), pp. 39–57 N. Carlini, D. Wagner, Towards evaluating the robustness of neural networks, in 2017 IEEE Symposium on Security and Privacy (SP) (IEEE, 2017), pp. 39–57
9.
go back to reference J. Cercos-Pita, I. Cal, D. Duque, G. de Moreta, NASAL-Geom, a free upper respiratory tract 3D model reconstruction software. Comput. Phys. Commun. 223, 55–68 (2018)MathSciNetCrossRef J. Cercos-Pita, I. Cal, D. Duque, G. de Moreta, NASAL-Geom, a free upper respiratory tract 3D model reconstruction software. Comput. Phys. Commun. 223, 55–68 (2018)MathSciNetCrossRef
10.
go back to reference A. Chambolle, An algorithm for total variation minimization and applications. J. Math. Imaging Vis. 20(1–2), 89–97 (2004)MathSciNetMATH A. Chambolle, An algorithm for total variation minimization and applications. J. Math. Imaging Vis. 20(1–2), 89–97 (2004)MathSciNetMATH
11.
go back to reference X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, P. Abbeel, Infogan: Interpretable representation learning by information maximizing generative adversarial nets, in Advances in neural information processing systems (2016), pp. 2172–2180 X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, P. Abbeel, Infogan: Interpretable representation learning by information maximizing generative adversarial nets, in Advances in neural information processing systems (2016), pp. 2172–2180
12.
go back to reference A. Chmielewski, M. Haji-Saeid, Radiation technologies: past, present and future. Radiat. Phys. Chem. 71(1–2), 17–21 (2004)CrossRef A. Chmielewski, M. Haji-Saeid, Radiation technologies: past, present and future. Radiat. Phys. Chem. 71(1–2), 17–21 (2004)CrossRef
13.
go back to reference T.J. Cullip, U. Neumann, Accelerating volume reconstruction with 3D texture hardware T.J. Cullip, U. Neumann, Accelerating volume reconstruction with 3D texture hardware
14.
go back to reference P. Dastidar, T. Heinonen, J. Numminen, M. Rautiainen, E. Laasonen, Semi-automatic segmentation of computed tomographic images in volumetric estimation of nasal airway. Eur. Archi. Oto-Rhino-Laryngology 256(4), 192–198 (1999)CrossRef P. Dastidar, T. Heinonen, J. Numminen, M. Rautiainen, E. Laasonen, Semi-automatic segmentation of computed tomographic images in volumetric estimation of nasal airway. Eur. Archi. Oto-Rhino-Laryngology 256(4), 192–198 (1999)CrossRef
15.
go back to reference X. Duan, L. Zhang, Y. Xiao, J. Cheng, Z. Chen, Y. Xing, Metal artifact reduction in ct images by sinogram tv inpainting, in Nuclear Science Symposium Conference Record, 2008. NSS’08. IEEE (IEEE, 2008), pp. 4175–4177 X. Duan, L. Zhang, Y. Xiao, J. Cheng, Z. Chen, Y. Xing, Metal artifact reduction in ct images by sinogram tv inpainting, in Nuclear Science Symposium Conference Record, 2008. NSS’08. IEEE (IEEE, 2008), pp. 4175–4177
16.
go back to reference R. Eisenberg, Radiology: an illustrated history (Mosby Inc., St. Louis, 1992) R. Eisenberg, Radiology: an illustrated history (Mosby Inc., St. Louis, 1992)
17.
go back to reference A. Eklund, T. Nichols, H. Knutsson, Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates, in Proceedings of the National Academy of Sciences (2016), p. 201602413 A. Eklund, T. Nichols, H. Knutsson, Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates, in Proceedings of the National Academy of Sciences (2016), p. 201602413
18.
go back to reference A. Elnakib, G. Gimel’farb, J.S. Suri, A. El-Baz, Medical image segmentation: a brief survey, in Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies (Springer, 2011), pp. 1–39 A. Elnakib, G. Gimel’farb, J.S. Suri, A. El-Baz, Medical image segmentation: a brief survey, in Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies (Springer, 2011), pp. 1–39
19.
go back to reference L. Erasmus, D. Hurter, M. Naudé, H. Kritzinger, S. Acho, A short overview of MRI artefacts. SA J. Radiol. 8, 2 (2004) L. Erasmus, D. Hurter, M. Naudé, H. Kritzinger, S. Acho, A short overview of MRI artefacts. SA J. Radiol. 8, 2 (2004)
21.
go back to reference G. Gerig, O. Kubler, R. Kikinis, F.A. Jolesz, Nonlinear anisotropic filtering of MRI data. IEEE Trans. Med. Imaging 11(2), 221–232 (1992)CrossRef G. Gerig, O. Kubler, R. Kikinis, F.A. Jolesz, Nonlinear anisotropic filtering of MRI data. IEEE Trans. Med. Imaging 11(2), 221–232 (1992)CrossRef
22.
go back to reference L. Gjesteby, Q. Yang, Y. Xi, B. Claus, Y. Jin, B. De Man, G. Wang, Reducing metal streak artifacts in CT images via deep learning: Pilot results, in The 14th international meeting on fully three-dimensional image reconstruction in radiology and nuclear medicine (2017), vol. 14, pp. 611–614 L. Gjesteby, Q. Yang, Y. Xi, B. Claus, Y. Jin, B. De Man, G. Wang, Reducing metal streak artifacts in CT images via deep learning: Pilot results, in The 14th international meeting on fully three-dimensional image reconstruction in radiology and nuclear medicine (2017), vol. 14, pp. 611–614
23.
go back to reference G. Glover, N. Pelc, An algorithm for the reduction of metal clip artifacts in CT reconstructions. Medical Phys. 8(6), 799–807 (1981)CrossRef G. Glover, N. Pelc, An algorithm for the reduction of metal clip artifacts in CT reconstructions. Medical Phys. 8(6), 799–807 (1981)CrossRef
24.
go back to reference C.A. Harris, L.M. White, Metal artifact reduction in musculoskeletal magnetic resonance imaging. Orthopedic Clinics 37(3), 349–359 (2006) C.A. Harris, L.M. White, Metal artifact reduction in musculoskeletal magnetic resonance imaging. Orthopedic Clinics 37(3), 349–359 (2006)
25.
go back to reference T. Huang, G. Yang, G. Tang, A fast two-dimensional median filtering algorithm. IEEE Trans. Acoust. Speech Signal Process. 27(1), 13–18 (1979)CrossRef T. Huang, G. Yang, G. Tang, A fast two-dimensional median filtering algorithm. IEEE Trans. Acoust. Speech Signal Process. 27(1), 13–18 (1979)CrossRef
26.
go back to reference W. Kalender, Technical foundations of spiral CT. J. Belge De Radiologie 78(2), 68–74 (1995) W. Kalender, Technical foundations of spiral CT. J. Belge De Radiologie 78(2), 68–74 (1995)
27.
go back to reference W. Kalender, R. Hebel, J. Ebersberger, Reduction of CT artifacts caused by metallic implants. Radiology 164(2), 576–577 (1987)CrossRef W. Kalender, R. Hebel, J. Ebersberger, Reduction of CT artifacts caused by metallic implants. Radiology 164(2), 576–577 (1987)CrossRef
28.
go back to reference A.K. Kono, K. Ishii, K. Sofue, N. Miyamoto, S. Sakamoto, E. Mori, Fully automatic differential diagnosis system for dementia with Lewy bodies and Alzheimer’s disease using FDG-PET and 3D-SSP. Eur. J. Nucl. Med. Mol. Imaging 34(9), 1490–1497 (2007)CrossRef A.K. Kono, K. Ishii, K. Sofue, N. Miyamoto, S. Sakamoto, E. Mori, Fully automatic differential diagnosis system for dementia with Lewy bodies and Alzheimer’s disease using FDG-PET and 3D-SSP. Eur. J. Nucl. Med. Mol. Imaging 34(9), 1490–1497 (2007)CrossRef
29.
go back to reference B. Kratz, T. Knopp, J. Müller, M. Oehler, T.M. Buzug, Non-equispaced Fourier Transform vs. polynomial-based metal artifact reduction in computed tomography, in Bildverarbeitung für die Medizin 2008 (Springer, 2008), pp. 21–25 B. Kratz, T. Knopp, J. Müller, M. Oehler, T.M. Buzug, Non-equispaced Fourier Transform vs. polynomial-based metal artifact reduction in computed tomography, in Bildverarbeitung für die Medizin 2008 (Springer, 2008), pp. 21–25
30.
go back to reference M. Lell, E. Meyer, M. Kuefner, M. May, R. Raupach, M. Uder, M. Kachelrieß, Normalized metal artifact reduction in head and neck computed tomography. Investig. Radiol. 47(7), 415–421 (2012)CrossRef M. Lell, E. Meyer, M. Kuefner, M. May, R. Raupach, M. Uder, M. Kachelrieß, Normalized metal artifact reduction in head and neck computed tomography. Investig. Radiol. 47(7), 415–421 (2012)CrossRef
31.
go back to reference C. Lemmens, D. Faul, J. Nuyts, Suppression of metal artifacts in CT using a reconstruction procedure that combines MAP and projection completion. IEEE Trans. Med. Imaging 28(2), 250–260 (2009)CrossRef C. Lemmens, D. Faul, J. Nuyts, Suppression of metal artifacts in CT using a reconstruction procedure that combines MAP and projection completion. IEEE Trans. Med. Imaging 28(2), 250–260 (2009)CrossRef
32.
go back to reference E. Lin, A. Alessio, What are the basic concepts of temporal, contrast, and spatial resolution in cardiac CT? J. Cardiovasc. Comput. Tomography 3(6), 403–408 (2009)CrossRef E. Lin, A. Alessio, What are the basic concepts of temporal, contrast, and spatial resolution in cardiac CT? J. Cardiovasc. Comput. Tomography 3(6), 403–408 (2009)CrossRef
33.
go back to reference B.N. Linh, Modeling of the human upper airway from multimodal 3D dentofacial images. Ph.D. thesis (2014) B.N. Linh, Modeling of the human upper airway from multimodal 3D dentofacial images. Ph.D. thesis (2014)
34.
go back to reference G. Litjens, T. Kooi, B.E. Bejnordi, A.A.A. Setio, F. Ciompi, M. Ghafoorian, J.A. Van Der Laak, B. Van Ginneken, C.I. Sánchez, A survey on deep learning in medical image analysis. Med. Image Anal. 42, 60–88 (2017)CrossRef G. Litjens, T. Kooi, B.E. Bejnordi, A.A.A. Setio, F. Ciompi, M. Ghafoorian, J.A. Van Der Laak, B. Van Ginneken, C.I. Sánchez, A survey on deep learning in medical image analysis. Med. Image Anal. 42, 60–88 (2017)CrossRef
35.
go back to reference P. Mah, T. Reeves, W. McDavid, Deriving Hounsfield units using grey levels in cone beam computed tomography. Dentomaxillofacial Radiol. 39(6), 323–335 (2010)CrossRef P. Mah, T. Reeves, W. McDavid, Deriving Hounsfield units using grey levels in cone beam computed tomography. Dentomaxillofacial Radiol. 39(6), 323–335 (2010)CrossRef
36.
go back to reference S.G. Mallat, Multifrequency channel decompositions of images and wavelet models. IEEE Trans. Acoust. Speech Signal Process. 37(12), 2091–2110 (1989) S.G. Mallat, Multifrequency channel decompositions of images and wavelet models. IEEE Trans. Acoust. Speech Signal Process. 37(12), 2091–2110 (1989)
37.
go back to reference D.A. Melis, T. Jaakkola, Towards robust interpretability with self-explaining neural networks, in Advances in Neural Information Processing Systems (2018), pp. 7775–7784 D.A. Melis, T. Jaakkola, Towards robust interpretability with self-explaining neural networks, in Advances in Neural Information Processing Systems (2018), pp. 7775–7784
38.
go back to reference E. Meyer, R. Raupach, M. Lell, B. Schmidt, M. Kachelrieß, Normalized metal artifact reduction (NMAR) in computed tomography. Med. Phys. 37(10), 5482–5493 (2010)CrossRef E. Meyer, R. Raupach, M. Lell, B. Schmidt, M. Kachelrieß, Normalized metal artifact reduction (NMAR) in computed tomography. Med. Phys. 37(10), 5482–5493 (2010)CrossRef
39.
go back to reference E. Meyer, R. Raupach, M. Lell, B. Schmidt, M. Kachelrieß, Frequency split metal artifact reduction (FSMAR) in computed tomography. Med. Phys. 39(4), 1904–1916 (2012)CrossRef E. Meyer, R. Raupach, M. Lell, B. Schmidt, M. Kachelrieß, Frequency split metal artifact reduction (FSMAR) in computed tomography. Med. Phys. 39(4), 1904–1916 (2012)CrossRef
40.
go back to reference P. Mildenberger, M. Eichelberg, E. Martin, Introduction to the DICOM standard. Eur. Radiol. 12(4), 920–927 (2002)CrossRef P. Mildenberger, M. Eichelberg, E. Martin, Introduction to the DICOM standard. Eur. Radiol. 12(4), 920–927 (2002)CrossRef
41.
go back to reference F. Milletari, N. Navab, S.-A. Ahmadi, V-net: fully convolutional neural networks for volumetric medical image segmentation, in 2016 Fourth International Conference on 3D Vision (3DV) (IEEE, 2016), pp. 565–571 F. Milletari, N. Navab, S.-A. Ahmadi, V-net: fully convolutional neural networks for volumetric medical image segmentation, in 2016 Fourth International Conference on 3D Vision (3DV) (IEEE, 2016), pp. 565–571
42.
go back to reference S.D. Olabarriaga, A.W. Smeulders, Interaction in the segmentation of medical images: a survey. Med. Image Anal. 5(2), 127–142 (2001)CrossRef S.D. Olabarriaga, A.W. Smeulders, Interaction in the segmentation of medical images: a survey. Med. Image Anal. 5(2), 127–142 (2001)CrossRef
43.
go back to reference F. Orieux, J.-F. Giovannelli, T. Rodet, Bayesian estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution. JOSA A 27(7), 1593–1607 (2010)CrossRef F. Orieux, J.-F. Giovannelli, T. Rodet, Bayesian estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution. JOSA A 27(7), 1593–1607 (2010)CrossRef
44.
go back to reference J. Osman, F. Großmann, K. Brosien, U. Kertzscher, L. Goubergrits, T. Hildebrandt, Assessment of nasal resistance using computational fluid dynamics. Curr. Dir. Biomed. Eng. 2(1), 617–621 (2016)CrossRef J. Osman, F. Großmann, K. Brosien, U. Kertzscher, L. Goubergrits, T. Hildebrandt, Assessment of nasal resistance using computational fluid dynamics. Curr. Dir. Biomed. Eng. 2(1), 617–621 (2016)CrossRef
45.
go back to reference N. Otsu, A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)CrossRef N. Otsu, A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)CrossRef
46.
go back to reference K. Patan, M. Witczak, J. Korbicz, Towards robustness in neural network based fault diagnosis. Int. J. Appl. Math. Comput. Sci. 18(4), 443–454 (2008)MATHCrossRef K. Patan, M. Witczak, J. Korbicz, Towards robustness in neural network based fault diagnosis. Int. J. Appl. Math. Comput. Sci. 18(4), 443–454 (2008)MATHCrossRef
47.
go back to reference P. Perona, J. Malik, Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990)CrossRef P. Perona, J. Malik, Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990)CrossRef
48.
go back to reference S. Pirner, K. Tingelhoff, I. Wagner, R. Westphal, M. Rilk, F. Wahl, F. Bootz, K.W. Eichhorn, CT-based manual segmentation and evaluation of paranasal sinuses. Eur. Archives of Oto-Rhino-Laryngology 266(4), 507–518 (2009)CrossRef S. Pirner, K. Tingelhoff, I. Wagner, R. Westphal, M. Rilk, F. Wahl, F. Bootz, K.W. Eichhorn, CT-based manual segmentation and evaluation of paranasal sinuses. Eur. Archives of Oto-Rhino-Laryngology 266(4), 507–518 (2009)CrossRef
49.
go back to reference D. Prasun, N. Jura, H. Tomi, R. Pertti, R. Markus, L. Erkki, Nasal airway volumetric measurement using segmented HRCT images and acoustic rhinometry. Amer. J. Rhinol. 13(2), 97–104 (1999)CrossRef D. Prasun, N. Jura, H. Tomi, R. Pertti, R. Markus, L. Erkki, Nasal airway volumetric measurement using segmented HRCT images and acoustic rhinometry. Amer. J. Rhinol. 13(2), 97–104 (1999)CrossRef
50.
go back to reference E. Purcell, R. Pound, N. Bloembergen, Nuclear magnetic resonance absorption in hydrogen gas. Phys. Rev. 70(11–12), 986 (1946)CrossRef E. Purcell, R. Pound, N. Bloembergen, Nuclear magnetic resonance absorption in hydrogen gas. Phys. Rev. 70(11–12), 986 (1946)CrossRef
51.
go back to reference J. Radon, Über die bestimmung von funktionen durch ihre integralwerte längs gewisser mannigfaltigkeiten. Ber. Saechsische Akad. Wiss 29, 262 (1917)MATH J. Radon, Über die bestimmung von funktionen durch ihre integralwerte längs gewisser mannigfaltigkeiten. Ber. Saechsische Akad. Wiss 29, 262 (1917)MATH
52.
go back to reference J. Radon, On the determination of functions from their integral values along certain manifolds. IEEE Trans. Med. Imaging 5(4), 170–176 (1986)CrossRef J. Radon, On the determination of functions from their integral values along certain manifolds. IEEE Trans. Med. Imaging 5(4), 170–176 (1986)CrossRef
53.
go back to reference W. Roentgen, Ueber eine Art von Strahlen. Sittzungsber Phys.-Med. Ges. Wuerzburg, Dez. 132 (1895) W. Roentgen, Ueber eine Art von Strahlen. Sittzungsber Phys.-Med. Ges. Wuerzburg, Dez. 132 (1895)
54.
go back to reference M. Safdari, A. Karimian, M. Yazdchi, A new method for metal artifact reduction in CT scan images. Iran. J. Med. Phys. 10(2), 139–146 (2013) M. Safdari, A. Karimian, M. Yazdchi, A new method for metal artifact reduction in CT scan images. Iran. J. Med. Phys. 10(2), 139–146 (2013)
55.
go back to reference W.F. Schreiber, Wirephoto quality improvement by unsharp masking. Pattern Recognit. 2(2), 117–121 (1970)CrossRef W.F. Schreiber, Wirephoto quality improvement by unsharp masking. Pattern Recognit. 2(2), 117–121 (1970)CrossRef
56.
go back to reference N. Senthilkumaran, R. Rajesh, Edge detection techniques for image segmentation-a survey of soft computing approaches. Int. J. Recent Trends Eng. 1(2), 250 (2009) N. Senthilkumaran, R. Rajesh, Edge detection techniques for image segmentation-a survey of soft computing approaches. Int. J. Recent Trends Eng. 1(2), 250 (2009)
57.
go back to reference C.L. Sistrom, N.L. McKay, Costs, charges, and revenues for hospital diagnostic imaging procedures: differences by modality and hospital characteristics. J. Amer. Coll. Radiol. 2(6), 511–519 (2005)CrossRef C.L. Sistrom, N.L. McKay, Costs, charges, and revenues for hospital diagnostic imaging procedures: differences by modality and hospital characteristics. J. Amer. Coll. Radiol. 2(6), 511–519 (2005)CrossRef
58.
go back to reference I. Sobel, An Isotropic 3\(\,\times \,\)3 Image Gradient Operator. Presentation at Stanford A.I. Project 1968 (2014) I. Sobel, An Isotropic 3\(\,\times \,\)3 Image Gradient Operator. Presentation at Stanford A.I. Project 1968 (2014)
59.
go back to reference C. Tomasi, R. Manduchi, Bilateral filtering for gray and color images, in Sixth International Conference on Computer Vision, 1998 (IEEE, 1998), pp. 839–846 C. Tomasi, R. Manduchi, Bilateral filtering for gray and color images, in Sixth International Conference on Computer Vision, 1998 (IEEE, 1998), pp. 839–846
60.
go back to reference M. Vannier, Iterative deblurring for CT metal artifact reduction. IEEE Trans. Med. Imaging 15(5), 651 (1996)CrossRef M. Vannier, Iterative deblurring for CT metal artifact reduction. IEEE Trans. Med. Imaging 15(5), 651 (1996)CrossRef
61.
go back to reference X.-Y. Wang, H.-Y. Yang, Z.-K. Fu, A new wavelet-based image denoising using undecimated discrete wavelet transform and least squares support vector machine. Expert Syst. Appl. 37(10), 7040–7049 (2010)CrossRef X.-Y. Wang, H.-Y. Yang, Z.-K. Fu, A new wavelet-based image denoising using undecimated discrete wavelet transform and least squares support vector machine. Expert Syst. Appl. 37(10), 7040–7049 (2010)CrossRef
62.
go back to reference J. Wei, L. Chen, G. Sandison, Y. Liang, L. Xu, X-ray CT high-density artefact suppression in the presence of bones. Phys. Med. Biol. 49(24), 5407 (2004)CrossRef J. Wei, L. Chen, G. Sandison, Y. Liang, L. Xu, X-ray CT high-density artefact suppression in the presence of bones. Phys. Med. Biol. 49(24), 5407 (2004)CrossRef
63.
go back to reference N. Wiener, Extrapolation, Interpolation and Smoothing of Stationary Time Series-with Engineering Applications (MIT Press, New York, 1949) N. Wiener, Extrapolation, Interpolation and Smoothing of Stationary Time Series-with Engineering Applications (MIT Press, New York, 1949)
64.
go back to reference S. Zhao, D. Robeltson, G. Wang, B. Whiting, K. Bae, X-ray CT metal artifact reduction using wavelets: an application for imaging total hip prostheses. IEEE Trans. Med. Imaging 19(12), 1238–1247 (2000)CrossRef S. Zhao, D. Robeltson, G. Wang, B. Whiting, K. Bae, X-ray CT metal artifact reduction using wavelets: an application for imaging total hip prostheses. IEEE Trans. Med. Imaging 19(12), 1238–1247 (2000)CrossRef
Metadata
Title
Computational Reconstruction of the Human Nasal Airway
Author
Jose Luis Cercos-Pita
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-6716-2_5

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