Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13632
Abstract: PURPOSE Four-dimensional (4D) CT imaging is a central part of current treatment planning workflows in 4D radiotherapy (RT). However, clinical 4D CT image data often suffer from severe artifacts caused by insufficient projection data coverage… read more here.
Keywords: data coverage; time; coverage; projection data ... See more keywords
CT artifact correction for sparse and truncated projection data using generative adversarial networks.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14504
Abstract: PURPOSE CT-image reconstruction using truncated or sparsely acquired projection data to reduce radiation dose, iodine volume, and patient motion artifacts has been widely investigated. To continue these efforts, we investigated the use of machine-learning based… read more here.
Keywords: reconstruction; correction; projection data; sparse truncated ... See more keywords
A motion artifact reduction method for dental CT based on subpixel-resolution image registration of projection data
Sign Up to like & getrecommendations! Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.10.028
Abstract: High-resolution imaging is essential in three-dimensional (3D) CT image-based digital dentistry. A small amount of head motion during a CT scan can degrade the spatial resolution of the images to the extent where the efficacy… read more here.
Keywords: resolution; motion; image; method ... See more keywords
Computing segmentations directly from x-ray projection data via parametric deformable curves
Sign Up to like & getrecommendations! Published in 2018 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/aa950e
Abstract: We describe an efficient algorithm that computes a segmented reconstruction directly from X-ray projection data. Our algorithm uses a parametric curve to define the segmentation. Unlike similar approaches which are based on level-sets, our method… read more here.
Keywords: computing segmentations; ray projection; directly ray; projection data ... See more keywords
Sparse-view image reconstruction with total-variation minimization applied to sparsely sampled projection data from SiPM-based photon-counting CT
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Instrumentation"
DOI: 10.1088/1748-0221/19/02/c02010
Abstract: We constructed a sparse-view computed tomography (CT) system that combines a compressed sensing (CS)-based image-reconstruction algorithm and SiPM-based photon-counting (PC) CT. CS-based image-reconstruction algorithms have been extensively studied for X-ray CT image reconstruction using fewer… read more here.
Keywords: projection data; based image; image; sparse view ... See more keywords
2V-CBCT: Two-Orthogonal-Projection Based CBCT Reconstruction and Dose Calculation for Radiation Therapy Using Real Projection Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2024.3439573
Abstract: This work demonstrates the feasibility of two-orthogonal-projection-based CBCT (2V-CBCT) reconstruction and dose calculation for radiation therapy (RT) using real projection data, which is the first 2V-CBCT feasibility study with real projection data, to the best… read more here.
Keywords: projection; cbct; projection data; real projection ... See more keywords