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Visual Computing for Industry, Biomedicine, and Art
Fig. 2 | Visual Computing for Industry, Biomedicine, and Art

Fig. 2

From: Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning

Fig. 2

Comparison between the reconstructed images by different methods. a Non-phase-sorted FDK images using projections from all respiratory phases; b Phase-sorted FDK images using only projections from the peak-expiration phase; c Peak-expiration phase image by the algebraic reconstruction technique with total variation-regularization; d Peak-expiration phase image by simultaneous motion estimation and image reconstruction. The first row shows the reconstructed images of a digital NCAT phantom [43]. The second row shows the reconstructed images of a real lung cancer patient from clinical projections. The “Ground-truth” image of the NCAT phantom was also presented as a reference. FDK: Feldkamp-Davis-Kress; NCAT: Non-uniform rational B-spline cardiac and torso

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