Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Franka Risch"'
Autor:
Luca Canalini, Elif G. Becker, Franka Risch, Stefanie Bette, Simon Hellbrueck, Judith Becker, Katharina Rippel, Christian Scheurig-Muenkler, Thomas Kroencke, Josua A. Decker
Publikováno v:
Diagnostics, Vol 14, Iss 22, p 2483 (2024)
Objectives: Virtual non-contrast (VNC) series reconstructed from contrast-enhanced cardiac scans acquired with photon counting detector CT (PCD-CT) systems have the potential to replace true non-contrast (TNC) series. However, a quantitative comparis
Externí odkaz:
https://doaj.org/article/419820f18c774e209104f9e5f1d85251
Radiomics-Based Machine Learning Model for Diagnosis of Acute Pancreatitis Using Computed Tomography
Autor:
Stefanie Bette, Luca Canalini, Laura-Marie Feitelson, Piotr Woźnicki, Franka Risch, Adrian Huber, Josua A. Decker, Kartikay Tehlan, Judith Becker, Claudia Wollny, Christian Scheurig-Münkler, Thomas Wendler, Florian Schwarz, Thomas Kroencke
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 718 (2024)
In the early diagnostic workup of acute pancreatitis (AP), the role of contrast-enhanced CT is to establish the diagnosis in uncertain cases, assess severity, and detect potential complications like necrosis, fluid collections, bleeding or portal vei
Externí odkaz:
https://doaj.org/article/1aa7179f752f4a378225439e31d56fd8
Autor:
Franziska M. Braun, Franka Risch, Josua A. Decker, Piotr Woźnicki, Stefanie Bette, Judith Becker, Katharina Rippel, Christian Scheurig-Münkler, Thomas J. Kröncke, Florian Schwarz
Publikováno v:
Diagnostics, Vol 13, Iss 22, p 3402 (2023)
In photon-counting detector CT (PCD-CT), coronary artery calcium scoring (CACS) can be performed using virtual non-contrast (VNC) series derived from coronary CT angiography (CCTA) datasets. Our study analyzed image characteristics of VNC series in t
Externí odkaz:
https://doaj.org/article/14176d44b98b4666bd5ebc36510a87b3
Autor:
Guyue Hu, Katharina Niepel, Franka Risch, Christopher Kurz, Matthias Würl, Thomas Kröncke, Florian Schwarz, Katia Parodi, Guillaume Landry
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
As one of the latest developments in X-ray computed tomography (CT), photon-counting technology allows spectral detection, demonstrating considerable advantages as compared to conventional CT. In this study, we investigated the use of a first-generat
Externí odkaz:
https://doaj.org/article/45863adab0084d26927a01faf9db1e97
Autor:
Stefanie Bette, Josua A. Decker, Franziska M. Braun, Judith Becker, Mark Haerting, Thomas Haeckel, Michael Gebhard, Franka Risch, Piotr Woźnicki, Christian Scheurig-Muenkler, Thomas J. Kroencke, Florian Schwarz
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1231 (2022)
In dual-energy CT datasets, the conspicuity of liver metastases can be enhanced by virtual monoenergetic imaging (VMI) reconstructions at low keV levels. Our study investigated whether this effect can be reproduced in photon-counting detector CT (PCD
Externí odkaz:
https://doaj.org/article/eff0a4daca2940679026d1a48214e028
Autor:
Josua A. Decker, Stefanie Bette, Christian Scheurig-Muenkler, Bertram Jehs, Franka Risch, Piotr Woźnicki, Franziska M. Braun, Mark Haerting, Claudia Wollny, Thomas J. Kroencke, Florian Schwarz
Publikováno v:
Diagnostics, Vol 12, Iss 3, p 558 (2022)
The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs. the standard algorithm (VNCConv) for their potential to re
Externí odkaz:
https://doaj.org/article/05203376bda14320a9306c17730a8acd
Autor:
Tilman Emrich, Gilberto Aquino, U. Joseph Schoepf, Franziska M. Braun, Franka Risch, Stefanie J. Bette, Piotr Woznicki, Josua A. Decker, Jim O’Doherty, Verena Brandt, Thomas Allmendinger, Tristan Nowak, Bernhard Schmidt, Thomas Flohr, Thomas J. Kroencke, Christian Scheurig-Muenkler, Akos Varga-Szemes, Florian Schwarz
Publikováno v:
Investigative Radiology. 57:536-543
The aim of this study was to evaluate coronary computed tomography angiography (CCTA)-based in vitro and in vivo coronary artery calcium scoring (CACS) using a novel virtual noniodine reconstruction (PureCalcium) on a clinical first-generation photon
Autor:
Franka Risch, Florian Schwarz, Franziska Braun, Stefanie Bette, Judith Becker, Christian Scheurig-Muenkler, Thomas J. Kroencke, Josua A. Decker
Objectives To assess epicardial adipose tissue (EAT) volume and attenuation of different virtual non-contrast (VNC) reconstructions derived from coronary CTA (CCTA) datasets of a photon-counting detector (PCD) CT-system to replace true non-contrast (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca2e324cb49e476701f20ea12327f408
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101132
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101132
Autor:
Josua A. Decker, Adrian Huber, Fevzi Senel, Stefanie Bette, Franziska Braun, Franka Risch, Piotr Woźnicki, Judith Becker, Daniel Popp, Mark Haerting, Bertram Jehs, Katharina Rippel, Claudia Wollny, Christian Scheurig-Muenkler, Thomas J. Kroencke, Florian Schwarz
See also the editorial by Dodd and MacDermott in this issue.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb6facd6808c74a4de6770b61ad9ef29
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/97903
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/97903
Autor:
Josua A. Decker, Jim O’Doherty, U. Joseph Schoepf, Thomas M. Todoran, Gilberto J. Aquino, Verena Brandt, Dhiraj Baruah, Nicola Fink, Emese Zsarnoczay, Thomas Flohr, Bernhard Schmidt, Thomas Allmendinger, Franka Risch, Akos Varga-Szemes, Tilman Emrich
To assess the impact of scan modes and reconstruction kernels using a novel dual-source photon-counting detector CT (PCD-CT) on lumen visibility and sharpness of different stent sizes.A phantom containing six balloon-expandable stents (2.5 to 9 mm di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22765da828a08867d2b1600e27b63d3d
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101131
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101131