An implicit neural deformable ray model for limited and sparse view‐based spatiotemporal reconstruction

The proposed INDeR framework successfully reconstructs continuous spatiotemporal representations from sparse views, achieving highly accurate reconstruction with as few as 20 projections and effective tracking with two orthogonal views in real-time. This approach shows great potential for anatomical monitoring in radiation therapy.

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Publication Details

Journal
Medical Physics
Published
2025-03-04
DOI
https://doi.org/10.1002/mp.17714
Citations
1
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
1.88
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article

An implicit neural deformable ray model for limited and sparse view‐based spatiotemporal reconstruction

Yuanwei He, Dan Ruan
1 citations
Medical Physics
Advanced Radiotherapy Techniques
1.88
article

An implicit neural deformable ray model for limited and sparse view‐based spatiotemporal reconstruction

Yuanwei He, Dan Ruan
article en
1 citations

Abstract

The proposed INDeR framework successfully reconstructs continuous spatiotemporal representations from sparse views, achieving highly accurate reconstruction with as few as 20 projections and effective tracking with two orthogonal views in real-time. This approach shows great potential for anatomical monitoring in radiation therapy.

Medical PhysicsVol. 52(6)
University of California, Los Angeles (US)
Good health and well-being
Openalex Percentile: Top 20%
Advanced Radiotherapy Techniques
1.88
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An implicit neural deformable ray model for limited and sparse view‐based spatiotemporal reconstruction — Yuanwei He, Dan Ruan · Medical Physics (2025) | TGRS Research Map | TGRS