Reducing windmill artifacts in clinical spiral CT using a deep learning‐based projection raw data upsampling: Method and robustness evaluation
J Magonov, J Maier, J Erath, J Sunnegårdh… - Medical …, 2024 - Wiley Online Library
Background Multislice spiral computed tomography (MSCT) requires an interpolation
between adjacent detector rows during backprojection. Not satisfying the Nyquist sampling …
between adjacent detector rows during backprojection. Not satisfying the Nyquist sampling …
Deep learning-based detector row upsampling for clinical spiral CT
J Magonov, J Erath, J Maier, E Fournié… - … on Image Formation …, 2022 - spiedigitallibrary.org
Due to longitudinal undersampling multislice spiral computed tomography (MSCT) scans
may suffer from windmill artifacts in reconstructed images. To fulfill the sampling condition …
may suffer from windmill artifacts in reconstructed images. To fulfill the sampling condition …
Is micro-computed tomography useful for wear assessment of ceramic femoral heads? A preliminary evaluation of volume measurements
Background Wear associated with hip components represents the main clinical problem in
these patients, and it is important to develop new techniques for more accurate …
these patients, and it is important to develop new techniques for more accurate …
Physics‐based iterative reconstruction for dual‐source and flying focal spot computed tomography
Purpose For single‐source helical Computed Tomography (CT), both Filtered‐Back
Projection (FBP) and statistical iterative reconstruction have been investigated. However, for …
Projection (FBP) and statistical iterative reconstruction have been investigated. However, for …
A deep learning method for pinwheel artifact reduction in CT
U Agrawal, R Langoju, Y Imai… - … Imaging 2023: Image …, 2023 - spiedigitallibrary.org
Pinwheel artifact is caused in multidetector Computed Tomography (CT) helical scans due
to under-sampling of z-planes during thin slice reconstruction. There are a few hardware …
to under-sampling of z-planes during thin slice reconstruction. There are a few hardware …
Method for the artifact correction of three-dimensional volume image data
H Schoendube, J Sunnegaardh - US Patent 11,568,585, 2023 - Google Patents
(57) ABSTRACT A method for the artifact correction of three-dimensional volume image data
of an object is disclosed. In an embodiment, the method includes receiving first volume …
of an object is disclosed. In an embodiment, the method includes receiving first volume …
A Deep Learning Method for Image based Anti-aliasing in CT Scanners with Single Focal Spot Acquisition
Y Bao, G Quan - 2019 IEEE Nuclear Science Symposium and …, 2019 - ieeexplore.ieee.org
This paper describes a deep learning method that provides an improved image quality for
single focal spot CT scan. An experiment with convolutional neural network learning is …
single focal spot CT scan. An experiment with convolutional neural network learning is …
Windmill artifact reduction based on the combined reconstructed image
Thin slice thickness reconstructions from helical Multi Detector-row CT (MDCT) scanning
may suffer from windmill artifacts because of the under-sampling of the data in the z-or …
may suffer from windmill artifacts because of the under-sampling of the data in the z-or …
Validation and Application of a Virtual Imaging Trial Platform for Accurate and Precise CT Quantifications in Lung Imaging
S Shankar - 2021 - search.proquest.com
Computed Tomography (CT) is a prevalent imaging technique in modern medicine that
provides physicians a non-invasive method to evaluate and diagnose various clinical …
provides physicians a non-invasive method to evaluate and diagnose various clinical …