ArticleMedical physics2015
Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging.
Article in Medical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A multi-stage deep learning framework for half-detector truncation and metal artifact reduction in CBCT.Medical physics · 2026Article
- Pushing the boundaries of robotic computed tomography: automated twin-robot CT scan with maximum reachability.Scientific reports · 2026Article
- Source-detector trajectory optimization for FOV extension in dental CBCT imaging.Computational and structural biotechnology journal · 2024Article
- Technical note: Extended longitudinal and lateral 3D imaging with a continuous dual-isocenter CBCT scan.Medical physics · 2023Article
- [Free trajectory cone beam computed tomography reconstruction method for synchronous scanning of geometric calibration phantom and imaging object].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Fast CBCT Reconstruction using Convolutional Neural Networks for Arbitrary Robotic C-arm Orbits.Proceedings of SPIE--the International Society for Optical EngineeringArticle
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Authors and funding
7 authors.
Funding
Abstract
purposeIn C-arm computed tomography (CT), the field of view (FOV) is often not sufficient to acquire certain anatomical structures, e.g., a full hip or thorax. Proposed methods to extend the FOV use a fixed detector displacement and a 360° scan range to double the radius of the FOV. These trajectories are designed for circular FOVs. However, there are cases in which the required FOV is not circular but rather an ellipsoid.
methodsIn this work, the authors show that in fan-beam CT, the use of a dynamically adjusting detector offset can reduce the required scan range when using a noncircular FOV. Furthermore, the authors present an analytic solution to determine the minimal required scan ranges for elliptic FOVs given a certain detector size and an algorithmic approach for arbitrary FOVs.
resultsThe authors show that the proposed method can result in a substantial reduction of the required scan range. Initial reconstructions of data sets acquired with our new minimal trajectory yielded image quality comparable to reconstructions of data acquired using a fixed detector offset and a full 360° rotation.
conclusionsOur results show a promising reduction of the necessary scan range especially for ellipsoidal objects that extend the FOV. In noncircular FOVs, there exists a set of solutions that allow a trade-off between detector size and scan range.
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