Cone-beam tomography with a digital camera

被引:11
|
作者
Marks, DL [1 ]
Stack, R [1 ]
Johnson, AJ [1 ]
Brady, DJ [1 ]
Munson, DC [1 ]
机构
[1] Univ Illinois, Beckman Inst Adv Sci & Technol, Dept Elect & Comp Engn, Urbana, IL 61801 USA
关键词
D O I
10.1364/AO.40.001795
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We show that x-ray computer tomography algorithms can be applied with minimal alteration to the three-dimensional reconstruction of visible sources. Diffraction and opacity affect visible systems more severely than x-ray systems. For camera-based tomography, diffraction can be neglected for objects within the depth of field. We show that, for convex objects, opacity has the effect of windowing the angular observation range and thus blurring the reconstruction. For concave objects, opacity leads to nonlinearity in the transformation from object to reconstruction and may cause multiple objects to map to the same reconstruction. In x-ray tomography, the contribution of an object point to a line integral is independent of the orientation of the Line. In optical tomography, however, a Lambertian assumption may be more realistic. We derive an expression for the blur function (the patch response) for a Lambertian source. We present experimental results showing cone-beam reconstruction of an incoherently illuminated opaque object. (C) 2001 Optical Society of America.
引用
收藏
页码:1795 / 1805
页数:11
相关论文
共 50 条
  • [31] Characteristics of megavoltage cone-beam digital tomosynthesis
    Descovich, M.
    Morin, O.
    Aubry, J. F.
    Aubin, M.
    Chen, J.
    Bani-Hashemi, A.
    Pouliot, J.
    MEDICAL PHYSICS, 2008, 35 (04) : 1310 - 1316
  • [32] A New Method for the Integration of Digital Dental Models and Cone-beam Computed Tomography Images
    Lin, Hsiu-Hsia
    Chiang, Wen-Chung
    Lo, Lun-Jou
    Wang, Chien-Hsuan
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 2328 - 2331
  • [33] Cone-beam tomography of propagation-based imaging
    Li, T. T.
    Li, H.
    Diao, L. H.
    APPLIED PHYSICS LETTERS, 2008, 93 (22)
  • [34] Cone-beam Computed Tomography Evaluation of Maxillary Sinusitis
    Maillet, Michelle
    Bowles, Walter R.
    McClanahan, Scott L.
    John, Mike T.
    Ahmad, Mansur
    JOURNAL OF ENDODONTICS, 2011, 37 (06) : 753 - 757
  • [35] Cone-beam local tomography image reconstruction on chords
    Anastasio, Mark A.
    Sidky, E. Y.
    Zou, Y.
    Pan, X.
    MEDICAL IMAGING 2006: PHYSICS OF MEDICAL IMAGING, PTS 1-3, 2006, 6142
  • [36] Practical applications of cone-beam computed tomography in orthodontics
    Mah, James K.
    Huang, John C.
    Choo, HyeRan
    JOURNAL OF THE AMERICAN DENTAL ASSOCIATION, 2010, 141 (10): : 7S - 13S
  • [37] Empirical water precorrection for cone-beam computed tomography
    Sourbelle, Katia
    Kachelriess, Marc
    Kalender, Willi A.
    2005 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2005, : 1871 - 1875
  • [38] Essentials of Algebraic Reconstruction in Cone-Beam Computed Tomography
    Chernukha, A. E.
    Shestopalov, A. I.
    Adarova, A. I.
    Shershnev, R. V.
    Kizilova, Ya. V.
    Koryakin, S. N.
    Ivanov, S. A.
    Solovev, A. N.
    BULLETIN OF THE LEBEDEV PHYSICS INSTITUTE, 2023, 50 (10) : 438 - 444
  • [39] Stereotactic registration using cone-beam computed tomography
    Carlson, Jonathan Dennis
    CLINICAL NEUROLOGY AND NEUROSURGERY, 2019, 182 : 107 - 111
  • [40] Cone-Beam Tomography with Linearly Distorted Source Trajectories
    Dennerlein, Frank
    Noo, Frederic
    Hoppe, Stefan
    Hornegger, Joachim
    Lauritsch, Guenter
    2006 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOL 1-6, 2006, : 2311 - 2315