Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Khanlian Chung"'
Autor:
Tanja Uhrig, Khanlian Chung, Sonja Janssen, Lothar R. Schad, Christian Tönnes, Frank G. Zöllner, Alena-Kathrin Golla
Publikováno v:
Magnetic Resonance Imaging. 75:116-123
Development of a deterministic algorithm for automated detection of the Arterial Input Function (AIF) in DCE-MRI of colorectal cancer. Using a filter pipeline to determine the AIF region of interest. Comparison to algorithms from literature with mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb87089a6361d0ea25500bfd6bfd803
https://doi.org/10.1016/j.mri.2020.09.009
https://doi.org/10.1016/j.mri.2020.09.009
Publikováno v:
Zeitschrift für Medizinische Physik. 29:150-161
Non-conventional scan trajectories for interventional three-dimensional imaging promise low-dose interventions and a better radiation protection to the personnel. Circular tomosynthesis (cTS) scan trajectories yield an anisotropical image quality dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3226abd9a868c25d1c9006b264aa36dd
https://doi.org/10.1016/j.zemedi.2019.01.002
https://doi.org/10.1016/j.zemedi.2019.01.002
Autor:
Alena-Kathrin Golla, Dominik Nörenberg, Dominik F. Bauer, Tom Russ, Lothar R. Schad, Ralf R. Schmidt, Frank G. Zöllner, Christian Tönnes, Khanlian Chung
Publikováno v:
IEEE transactions on bio-medical engineering. 68(5)
Objective: Three-dimensional (3D) blood vessel structure information is important for diagnosis and treatment in various clinical scenarios. We present a fully automatic method for the extraction and differentiation of the arterial and venous vessel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca15c1e97b187494cb1e8a33b1fff913
https://pubmed.ncbi.nlm.nih.gov/33275574
https://pubmed.ncbi.nlm.nih.gov/33275574
Autor:
Stephan Goerttler, Frank G. Zöllner, Sepideh Hatamikia, Tom Russ, Dominik F. Bauer, Alena-Kathrin Schnurr, Khanlian Chung, Lothar R. Schad
Publikováno v:
International journal of computer assisted radiology and surgery. 14(10)
The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efdc2bfcfccdf0110fb9ddd84fec6d61
https://pubmed.ncbi.nlm.nih.gov/31378841
https://pubmed.ncbi.nlm.nih.gov/31378841
Publikováno v:
International journal of computer assisted radiology and surgery. 13(10)
Cone beam computed tomography (CBCT) systems offer physicians crucial 3D and 2D imaging capabilities during interventions. However, certain medical applications only require very specific information from the CBCTs (e.g., determination of the positio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04321bc3c0c6e95753658f873609a032
https://pubmed.ncbi.nlm.nih.gov/29923071
https://pubmed.ncbi.nlm.nih.gov/29923071
Publikováno v:
Bildverarbeitung für die Medizin 2018 ISBN: 9783662565360
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Using non-conventional scan trajectories for Cone Beam (CB) imaging promise low dose interventions and radiation protection to the personal [1]. The here investigated circular tomosynthesis yields good image quality in two preferred directions, but i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48499418966850beab4f505128a1d476
https://doi.org/10.1007/978-3-662-56537-7_72
https://doi.org/10.1007/978-3-662-56537-7_72
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 13:1497-1497
The original version of this article unfortunately contained a mistake in table 2.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0f89aee6f74bff9466ef525934bd2ae
https://doi.org/10.1007/s11548-018-1810-y
https://doi.org/10.1007/s11548-018-1810-y