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4D digital tomosynthesis image reconstruction using brute force-based adaptive total variation (BF-ATV) in a

Sunghoon Choi1, Sooyeul Lee2, Young-Nam Kang3

  • 1Department of Radiological Science, College of Health Science, Yonsei University, 1 Yonseidae-gil, Wonju 26493, Republic of Korea.

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A new low-dose 4D digital tomosynthesis (DTS) reconstruction method, brute force-based adaptive total variation (BF-ATV), reduces aliasing artifacts and image smoothing for faster, practical radiotherapy imaging.

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Area of Science:

  • Medical Physics
  • Radiotherapy Imaging
  • Image Reconstruction

Background:

  • Respiratory-correlated cone-beam CT (CBCT) is limited by slow scanning and high radiation dose.
  • 4D digital tomosynthesis (4D-DTS) offers lower dose and faster acquisition but suffers from aliasing artifacts due to sparse projections.

Purpose of the Study:

  • To introduce a novel low-dose 4D-DTS image reconstruction method balancing aliasing artifacts and image smoothing.
  • To evaluate the performance of the proposed method against conventional techniques under various sparse sampling conditions.

Main Methods:

  • A prototype LINAC system with a flat-panel detector was used to acquire phantom tomosynthesis projections.
  • Three reconstruction schemes were implemented: filtered back-projection (FBP), adaptive steepest descent projection onto convex sets (ASD-POCS), and the proposed brute force-based adaptive total variation (BF-ATV).
  • Reconstructions were accelerated using GPU and tested across different gantry sweep modes to simulate sparse sampling.

Main Results:

  • The proposed BF-ATV method demonstrated superior structural similarity between ground-truth and sparse datasets.
  • BF-ATV maintained object sharpness with reduced streaking artifacts compared to FBP and ASD-POCS.
  • The method showed improved performance under various sparse sampling conditions.

Conclusions:

  • The novel BF-ATV low-dose 4D-DTS reconstruction scheme effectively mitigates aliasing artifacts while preserving image quality.
  • This method offers a promising solution for practical, rapid 4D imaging in radiotherapy due to its improved performance and lower radiation dose.