ArticleMedical physics2020
Optimization for customized trajectories in cone beam computed tomography.
Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Trajectory generation for ROI expansion in dental CBCT imaging: An out-of-FOV ROI annotation guided arc scan-based approach.Computational and structural biotechnology journal · 2025Article
- Limited-Angle Tomography Using a Neural Network as the Objective Function.International journal of biomedical research & practice · 2025Article
- Source-detector trajectory optimization for CBCT metal artifact reduction based on PICCS reconstruction.Zeitschrift fur medizinische Physik · 2024Article
- Universal non-circular cone beam CT orbits for metal artifact reduction imaging during image-guided procedures.Scientific reports · 2024Article
- Cone-beam CT with a noncircular (sine-on-sphere) orbit: imaging performance of a clinical system for image-guided interventions.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Fully automatic online geometric calibration for non-circular cone-beam CT orbits using fiducials with unknown placement.Medical physics · 2024Article
- Additively manufactured test phantoms for mimicking soft tissue radiation attenuation in CBCT using Polyjet technology.Zeitschrift fur medizinische Physik · 2023Article
- 3D printed patient-specific thorax phantom with realistic heterogenous bone radiopacity using filament printer technology.Zeitschrift fur medizinische Physik · 2022Article
- Universal orbit design for metal artifact elimination.Physics in medicine and biology · 2022Article
- Considerations for Upright Particle Therapy Patient Positioning and Associated Image Guidance.Frontiers in oncology · 2022Review
- Toward on-the-fly trajectory optimization for C-arm CBCT under strong kinematic constraints.PloS one · 2021Article
- Fast CBCT Reconstruction using Convolutional Neural Networks for Arbitrary Robotic C-arm Orbits.Proceedings of SPIE--the International Society for Optical EngineeringArticle
- Deep Learning-Based Internal Target Volume (ITV) Prediction Using Cone-Beam CT Images in Lung Stereotactic Body Radiotherapy.Technology in cancer research & treatmentArticle
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Authors and funding
12 authors.
Funding
Abstract
purposeWe developed a target-based cone beam computed tomography (CBCT) imaging framework for optimizing an unconstrained three dimensional (3D) source-detector trajectory by incorporating prior image information. Our main aim is to enable a CBCT system to provide topical information about the target using a limited angle noncircular scan orbit with a minimal number of projections. Such a customized trajectory should include enough information to sufficiently reconstruct a particular volume of interest (VOI) under kinematic constraints, which may result from the patient size or additional surgical or radiation therapy-related equipment.
methodsA patient-specific model from a prior diagnostic computed tomography (CT) volume is used as a digital phantom for CBCT trajectory simulations. Selection of the best projection views is accomplished through maximizing an objective function fed by the imaging quality provided by different x-ray positions on the digital phantom data. The final optimized trajectory includes a limited angular range and a minimal number of projections which can be applied to a C-arm device capable of general source-detector positioning. The performance of the proposed framework is investigated in experiments involving an in-house-built box phantom including spherical targets as well as an Alderson-Rando head phantom. In order to quantify the image quality of the reconstructed image, we use the average full-width-half-maximum (FWHM
resultsOur experiments based on both the box and head phantom showed that optimized trajectories could achieve a comparable image quality in the VOI with respect to the standard C-arm circular CBCT while using approximately one quarter of projections. We achieved a relative deviation <7% for FWHM
conclusionWe demonstrated that applying limited angle noncircular trajectories with optimized orientations in 3D space can provide a suitable image quality for particular image targets and has a potential for limited angle and low-dose CBCT-based interventions under strong spatial constraints.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.