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. Author manuscript; available in PMC: 2021 Nov 1.
Published in final edited form as: IEEE Trans Med Imaging. 2020 Oct 28;39(11):3535–3547. doi: 10.1109/TMI.2020.2998509

Fig. 1.

Fig. 1.

Analysis of the spatial aliasing for a circular geometry. (a) A full-ring transducer array of radius R (red circle), where a detection element location r and a source point location r′ are marked. The locations r and r′ are also seen as vectors from the origin to these locations. Vectors -r′ and rr′ form an angle β, while the extension of line segment rr′ forms an angle α′ with the tangential dotted line that is perpendicular to r. The angle formed by vectors −r and r′−r can be expressed as απ2. This graph is used to analyze the aliasing in SS. (b) A full-ring transducer array with a detection element location r, two reconstruction locations r″ and r1 and a source point location r′ marked. Extensions of the line segments rr″, rr1 and r′−r can be expressed as α″, α1 and α′, respectively, with the tangential dotted line that is perpendicular to r. Vectors r″ and r′ form an angle γ=arccos(rR)+arccos(rR) where r″ = ‖r″‖. Points r″ and r1 are on the same circle centered at r. This graph is used to analyze aliasing in IR. (c) Regions in the field of view representing different types of aliasing. In S2 (green circle), which contains all source points and reconstruction locations, UBP reconstruction yields no aliasing. In S1 (blue circle), aliasing does not exist in SS but may exist in UBP reconstruction. In S0 (red circle), aliasing may exist in SS.