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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

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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

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