Double your views – Exploiting symmetry in transmission imaging

Alexander Preuhs, Andreas Maier, Michael Manhart, Javad Fotouhi, Nassir Navab, Mathias Unberath

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)


For a plane symmetric object we can find two views—mirrored at the plane of symmetry—that will yield the exact same image of that object. In consequence, having one image of a plane symmetric object and a calibrated camera, we can automatically have a second, virtual image of that object if the 3-D location of the symmetry plane is known. In this work, we show for the first time that the above concept naturally extends to transmission imaging and present an algorithm to estimate the 3-D symmetry plane from a set of projection domain images based on Grangeat’s theorem. We then exploit symmetry to generate a virtual trajectory by mirroring views at the plane of symmetry. If the plane is not perpendicular to the acquired trajectory plane, the virtual and real trajectory will be oblique. The resulting X-shaped trajectory will be data-complete, allowing for the compensation of in-plane motion using epipolar consistency. We evaluate the proposed method on a synthetic symmetric phantom and, in a proof-of-concept study, apply it to a real scan of an anthropomorphic human head phantom.

TitelMedical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
Redakteure/-innenJulia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger, Alejandro F. Frangi
Herausgeber (Verlag)Springer Verlag
ISBN (Print)9783030009274
PublikationsstatusVeröffentlicht - 2018
Extern publiziertJa
Veranstaltung21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spanien
Dauer: 16 Sept. 201820 Sept. 2018


NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band11070 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349


Konferenz21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018


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