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CERN Document Server 6 záznamov nájdených  Hľadanie trvalo 0.58 sekúnd. 
1.
Multi‐“Color” Delineation of Bone Microdamages Using Ligand‐Directed Sub‐5 nm Hafnia Nanodots and Photon Counting CT Imaging / Ostadhossein, Fatemeh (Illinois U., Urbana) ; Tripathi, Indu (Illinois U., Urbana) ; Benig, Lily (Illinois U., Urbana) ; LoBato, Denae (Illinois U., Urbana) ; Moghiseh, Mahdieh (Otago U.) ; Lowe, Chiara (Otago U.) ; Raja, Aamir (Otago U.) ; Butler, Anthony (Otago U. ; CERN) ; Panta, Raj (Otago U.) ; Anjomrouz, Marzieh (Otago U.) et al.
The early detection of bone microdamages is crucial to make informed deci-sions about the therapy and taking precautionary treatments to avoid cata-strophic fractures. Conventional computed tomography (CT) imaging faces obstacles in detecting bone microdamages due to the strong self-attenuation of photons from bone and poor spatial resolution. [...]
2019 - Published in : Advanced Functional Materials 30 (2019) 1904936
2.
Interactive image segmentation of MARS datasets using bag of features / Kanithi, Praveenkumar (Canterbury U.) ; de Ruiter, Niels J A (Canterbury U. ; Otago U. ; MARS Bioimaging) ; Amma, Maya R (Otago U.) ; Lindeman, Robert W (Canterbury U.) ; Butler, Anthony P H (Canterbury U. ; MARS ; Otago U. ; CERN) ; Butler, Philip H (Canterbury U. ; MARS Bioimaging ; Otago U. ; CERN) ; Chernoglazov, Alexander I (Canterbury U. ; MARS Bioimaging) ; Mandalika, V B H (Canterbury U. ; MARS Bioimaging) ; Adebileje, Sikiru A (Canterbury U. ; Otago U.) ; Alexander, Steven D (MARS Bioimaging) et al.
In this paper, we propose a slice-based interactive segmentation of spectral CT datasets using a bag of features method. The data is acquired from a MARS scanner which divides up the x-ray spectrum into multiple energy bins for imaging. [...]
2021 - 9 p. - Published in : IEEE Trans. Rad. Plasma Med. Sci. 5 (2021) 559 - 567
3.
Assessment of material identification errors, image quality and radiation doses using small animal spectral photon-counting CT / MARS Collaboration
Photon-counting CT offers the potential to provide new diagnostic information. In this study, we sought to determine the interplay between material identification errors, image quality indicators, and radiation doses using photon-counting spectral CT, and to determine whether this relationship is replicated in spectral CT scans of mice. [...]
2021 - 10 p. - Published in : IEEE Trans. Rad. Plasma Med. Sci. 5 (2021) 578 - 587
4.
Medipix3RX neutron camera for ambient radiation measurements in the CMS cavern / Bheesette, Srinidhi (Otago U. ; CERN) ; Lokhovitskiy, Arkady (CERN) ; Mallows, Sophie (CERN) ; Walsh, Michael F (MARS Bioimaging) ; Doesburg, Robert M N (MARS Bioimaging) ; Bell, Stephen T (MARS Bioimaging) ; Dabrowski, Anne (CERN) ; Butler, Anthony P H (Otago U. ; CERN ; MARS Bioimaging ; Canterbury U.) ; Butler, Philip H (Otago U. ; CERN ; MARS Bioimaging ; Canterbury U.) ; Adebileje, Sikiru A (Otago U.) et al.
We describe a CMS-Medipix3RX neutron camera developed by adapting and modifying detector readout electronics developed at the University of Canterbury. The readout electronics are part of the MARS x-ray scanner used for imaging applications [1]. [...]
2019 - 6 p. - Published in : 10.1109/NSSMIC.2018.8824390
In : 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2018), Sydney, Australia, 10 - 17 Nov 2018, pp.8824390
5.
Assessment of metal implant induced artefacts using photon counting spectral CT / Amma, Maya Rajeswari (Otago U.) ; Butler, Anthony P H (MARS Bioimaging ; Canterbury U. ; Otago U.) ; Raja, Aamir Y (Otago U.) ; Bamford, Benjamin (Otago U.) ; Butler, Philip (MARS Bioimaging ; Canterbury U. ; Otago U.) ; Walker, E Peter (Otago U.) ; Matanaghi, Aysouda (Otago U.) ; Adebileje, Sikiru A (Otago U. ; Canterbury U.) ; Anderson, Nigel (Otago U.) ; Anjomrouz, Marzieh (MARS Bioimaging) et al.
The aim is to perform qualitative and quantitative assessment of metal induced artefacts of small titanium biomaterials using photon counting spectral CT. The energy binning feature of some photon counting detectors enables the measured spectrum to be segmented into low, mid and high energy bins in a single exposure. [...]
2019 - 8 p. - Published in : Proc. SPIE 11113 (2019) 111131D
In : Developments in X-Ray Tomography XII, San Diego, CA, United States, 11 - 15 Aug 2019, pp.111131D
6.
MARS pre-clinical imaging: the benefits of small pixels and good energy data / Butler, Philip H (MARS Bioimaging ; Canterbury U. ; Otago U.) ; Adebileje, Sikiru A (Otago U. ; Canterbury U.) ; Alexander, Steven D (MARS Bioimaging) ; Amma, Maya R (Otago U.) ; Amjomrouz, Marzieh (MARS Bioimaging) ; Asghariomabad, Fatemeh (Otago U.) ; Atharifard, Ali (MARS Bioimaging) ; Atlas, James (Canterbury U.) ; Bamford, Benjamin (Otago U.) ; Bell, Stephen T (MARS Bioimaging) et al.
Images from MARS spectral CT scanners show that there is much diagnostic value from using small pixels and good energy data. MARS scanners use energy-resolving photon-counting CZT Medipix3RX detectors that measure the energy of photons on a five-point scale and with a spatial resolution of 110 microns. [...]
2019 - Published in : Proc. SPIE 11113 (2019) 111130C
In : Developments in X-Ray Tomography XII, San Diego, CA, United States, 11 - 15 Aug 2019, pp.111130C

Viď tiež: podobné mená autorov
1 Moghiseh, M
1 Moghiseh, M.
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