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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…
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Keywords:
data coverage;
time;
coverage;
projection data ... See more keywords
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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…
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Keywords:
reconstruction;
correction;
projection data;
sparse truncated ... See more keywords
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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…
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Keywords:
resolution;
motion;
image;
method ... See more keywords
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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…
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Keywords:
computing segmentations;
ray projection;
directly ray;
projection data ... See more keywords