Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Julian Maclaren"'
Autor:
Julian Maclaren, Brian S. R. Armstrong, Robert T. Barrows, K. A. Danishad, Thomas Ernst, Colin L. Foster, Kazim Gumus, Michael Herbst, Ilja Y. Kadashevich, Todd P. Kusik, Qiaotian Li, Cris Lovell-Smith, Thomas Prieto, Peter Schulze, Oliver Speck, Daniel Stucht, Maxim Zaitsev
Publikováno v:
PLoS ONE, Vol 8, Iss 6 (2013)
Externí odkaz:
https://doaj.org/article/121f9fbe0e1c42ba8755e88ecaa9b10d
Autor:
Julian Maclaren, Brian S R Armstrong, Robert T Barrows, K A Danishad, Thomas Ernst, Colin L Foster, Kazim Gumus, Michael Herbst, Ilja Y Kadashevich, Todd P Kusik, Qiaotian Li, Cris Lovell-Smith, Thomas Prieto, Peter Schulze, Oliver Speck, Daniel Stucht, Maxim Zaitsev
Publikováno v:
PLoS ONE, Vol 7, Iss 11, p e48088 (2012)
Magnetic resonance imaging (MRI) is a widely used method for non-invasive study of the structure and function of the human brain. Increasing magnetic field strengths enable higher resolution imaging; however, long scan times and high motion sensitivi
Externí odkaz:
https://doaj.org/article/add9ece478bf4914ac3fecd6d63b8a01
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 6:98-112
Patient head motion during magnetic resonance imaging (MRI) of the brain causes artifacts that limit diagnostic value. Prospective motion correction can, in principle, allow artifact-free imaging for any MRI sequence. Optical motion tracking systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e498eba9f97561279d61aca4effe97
https://doi.org/10.1109/trpms.2021.3063260
https://doi.org/10.1109/trpms.2021.3063260
Autor:
Dan Rettmann, Timothy W. Skloss, Bryan Lanzman, Murat Aksoy, Mackenzie L. Carlson, S. Shahrukh Hashmi, Julian Maclaren, Brian K. Rutt, Phillip DiGiacomo, Jarrett Rosenberg, Ronald Dean Watkins, Brian Burns, Roland Bammer, Michael Zeineh, Elizabeth Tong
Publikováno v:
Magn Reson Med
PURPOSE: Motion artifact limits the clinical translation of high-field MR. We present an optical prospective motion correction system for 7 Tesla MRI using a custom-built, within-coil camera to track an optical marker mounted on a subject. METHODS: T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38e77ae8f9d98b68bca341339a298b88
https://doi.org/10.1002/mrm.28211
https://doi.org/10.1002/mrm.28211
Autor:
Julian Maclaren
Publikováno v:
Advances in Magnetic Resonance Technology and Applications ISBN: 9780128244609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8026b892dbb782246ee414684ba4e80
https://doi.org/10.1016/b978-0-12-824460-9.00035-2
https://doi.org/10.1016/b978-0-12-824460-9.00035-2
Autor:
Noemi Schmidt, Soren Christensen, Johanna M. Ospel, Maarten G Lansberg, Christian Federau, Victor Schulze-Zachau, Sebastian Kozerke, Nino Scherrer, Julian Maclaren, Hanns-Christian Breit
Publikováno v:
Radiol Artif Intell
Purpose: To compare the segmentation and detection performance of a deep learning model trained on a database of human-labelled clinical diffusion-weighted (DW) stroke lesions to a model trained on the same database enhanced with synthetic DW stroke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec69ab5ca8600c1954bc397b6c6c22ce
https://doi.org/10.5167/uzh-190759
https://doi.org/10.5167/uzh-190759
Autor:
Victor Schulze, Julian Maclaren, Johanna M. Ospel, Maarten G Lansberg, Soren Christensen, Kozerke Sebastian, Nino Scherrer, Christian Federau
Publikováno v:
Stroke. 51
Introduction: The application of deep learning to stroke image analysis (and medical images in general) faces two major challenges: first, it requires a large number of images to train, which is difficult to obtain. Second, the accurate outlining of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d40a8455277e0b52e9c61a70736458f
https://doi.org/10.1161/str.51.suppl_1.wmp22
https://doi.org/10.1161/str.51.suppl_1.wmp22
Autor:
Julian Maclaren, Christian Federau, Greg Albers, Aditya Srivatsan, Soren Christensen, Maarten G Lansberg
Publikováno v:
Stroke. 51
Background: Automatic measurement of the acute stroke lesion volume on DWI and CT-CBF has been used in recent late window trials. Despite non-contrast CT (NCCT) being the most widely used imaging modality in the acute stroke setting, quantification o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07cb7e3227f9ee2f81df1ea0011955f9
https://doi.org/10.1161/str.51.suppl_1.tp64
https://doi.org/10.1161/str.51.suppl_1.tp64
Publikováno v:
Magnetic Resonance in Medicine. 79:1911-1921
PURPOSE Optical prospective motion correction substantially reduces sensitivity to motion in neuroimaging of human subjects. However, a major barrier to clinical deployment has been the time-consuming cross-calibration between the camera and MRI scan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::005a34e55519ce5a89d46258d772e89a
https://doi.org/10.1002/mrm.26838
https://doi.org/10.1002/mrm.26838
Autor:
Mohammad Mehdi Khalighi, Phillip DiGiacomo, Michael Zeineh, Charlotte Hoo, Matthew G. Spangler-Bickell, Dan Rettmann, Roland Bammer, Julian Maclaren, Floris Jansen, Murat Aksoy, Greg Zaharchuk
Publikováno v:
IEEE Trans Radiat Plasma Med Sci
A significant challenge during high-resolution PET brain imaging on PET/MR scanners is patient head motion. This challenge is particularly significant for clinical patient populations who struggle to remain motionless in the scanner for long periods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b0335a43e1f5aad4eff21aeda864f37
https://pubmed.ncbi.nlm.nih.gov/31396580
https://pubmed.ncbi.nlm.nih.gov/31396580