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Visual Computing for Industry, Biomedicine, and Art
Fig. 1 | Visual Computing for Industry, Biomedicine, and Art

Fig. 1

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

Fig. 1

Flow-chart comparison between (a) the conventional 4D-CBCT reconstruction and DVF-derivation scheme for image-guided radiation therapy/adaptive radiation therapy applications, and (b) the proposed SMEIR scheme. Compared with the conventional scheme, the SMEIR scheme updates the 4D-CBCT images and the DVFs simultaneously and iteratively in an interleaved fashion. By SMEIR, the mCBCT is updated towards improved quality to drive more accurate DVF solution, and the more accurate DVFs subsequently improve the accuracy of the motion-compensated reconstruction for mCBCT. 4D-CBCT: 4-Dimensional cone-beam computed tomography; SMEIR: Simultaneous motion estimation and image reconstruction; DVF: Deformation-vector-field; mCBCT: Motion-compensated CBCT

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