|
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.
|
|
|
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
|
|
|
7.
|
Element-specific spectral imaging of multiple contrast agents: a phantom study
/ Panta, R K (U. Otago, Dept. Radiol. ; MARS Bioimaging) ; Bell, S T (MARS Bioimaging) ; Healy, J L (Canterbury U.) ; Aamir, R (U. Otago, Dept. Radiol. ; MARS Bioimaging) ; Bateman, C J (Lincoln University) ; Moghiseh, M (U. Otago, Dept. Radiol.) ; Butler, A P H (CERN ; U. Otago, Dept. Radiol. ; MARS Bioimaging ; Canterbury U.) ; Anderson, N G (U. Otago, Dept. Radiol.)
This work demonstrates the feasibility of simultaneous discrimination of multiple contrast agents based on their element-specific and energy-dependent X-ray attenuation properties using a pre-clinical photon-counting spectral CT. We used a photon-counting based pre-clinical spectral CT scanner with four energy thresholds to measure the X-ray attenuation properties of various concentrations of iodine (9, 18 and 36 mg/ml), gadolinium (2, 4 and 8 mg/ml) and gold (2, 4 and 8 mg/ml) based contrast agents, calcium chloride (140 and 280 mg/ml) and water. [...]
2018 - 17 p.
- Published in : JINST 13 (2018) T02001-T02001
Fulltext: PDF;
|
|
|
8.
|
MARS-MD: rejection based image domain material decomposition
/ Bateman, C.J. (MARS Bioimaging ; U. Otago, Dept. Radiol. ; Canterbury U. ; Lincoln Agritech Limited, New Zealand) ; Knight, D. (U. Otago, Dept. Radiol.) ; Brandwacht, B. (Twente U., Enschede) ; Mahon, J., MC (Canterbury U.) ; Healy, J. (U. Canterbury, Dept. Biol.) ; Panta, R. (U. Otago, Dept. Radiol. ; MARS Bioimaging) ; Aamir, R. (U. Otago, Dept. Radiol.) ; Rajendran, K. (U. Otago, Dept. Radiol.) ; Moghiseh, M. (U. Otago, Dept. Radiol.) ; Ramyar, M. (U. Otago, Dept. Radiol.) et al.
This paper outlines image domain material decomposition algorithms that have been routinely used in MARS spectral CT systems. These algorithms (known collectively as MARS-MD) are based on a pragmatic heuristic for solving the under-determined problem where there are more materials than energy bins. [...]
arXiv:1802.05366.-
2018-03-16
- Published in : JINST 13 (2018) P05020-P05020
Preprint: arXiv:1802.05366 - PDF; 10.1088.1748-0221.13.05.P05020 - PDF;
|
|
email alert
or subscribe to the 
RSS feed.