1 code implementation • 28 Jul 2023 • Annika Ries, Tina Dorosti, Johannes Thalhammer, Daniel Sasse, Andreas Sauter, Felix Meurer, Ashley Benne, Tobias Lasser, Franz Pfeiffer, Florian Schaff, Daniela Pfeiffer
Six corresponding sparse-view CT data subsets at varying levels of undersampling were reconstructed from sinograms using filtered backprojection with 16, 32, 64, 128, 256, and 512 views.
no code implementations • 16 Mar 2023 • Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff
Purpose: Sparse-view computed tomography (CT) is an effective way to reduce dose by lowering the total number of views acquired, albeit at the expense of image quality, which, in turn, can impact the ability to detect diseases.
no code implementations • 13 Mar 2023 • Tina Dorosti, Manuel Schultheiss, Felix Hofmann, Johannes Thalhammer, Luisa Kirchner, Theresa Urban, Franz Pfeiffer, Florian Schaff, Tobias Lasser, Daniela Pfeiffer
Comparably, with input images manually adjusted to the emphysema window, the DenseNet model predicted COPD with a mean AUC of 0. 86 [0. 82, 0. 89].
no code implementations • 17 Dec 2020 • Gary Ruben, Isaac Pinar, Jeremy M. C. Brown, Florian Schaff, James A. Pollock, Kelly J. Crossley, Anton Maksimenko, Chris Hall, Daniel Hausermann, Kentaro Uesugi, Marcus J. Kitchen
In X-ray imaging, photons are transmitted through and absorbed by the subject, but are also scattered in significant quantities.
Medical Physics Applied Physics