Clinical applications of MARS technology
The complete list of publications by the MARS team and its research collaborators is maintained by the University of Otago Centre for Bioengineering and Nanomedicine.
MARS scanners enable the simultaneous identification and quantification of multiple contrast agents. That is, nanoparticles and therapeutic agents can be tagged and then measured in-vivo. Tagging can involve antibody and or other methods. MARS scanners can then track cell lines and monitor drug delivery.
Downloadable data sets include mouse data and phantom data.
M. Moghiseh, et al. (2016). Discrimination of Multiple High-Z Materials by Multi-Energy Spectral CT– A Phantom Study. JSM Biomed Imaging Data Pap 3(1): 1007. Read paper.
N. Anderson, et al. Spectroscopic (multi-energy) ct distinguishes iodine and barium contrast material in MICE. European Radiology, vol. 20, pp. 2126–2134, 2010. Read paper.
R .K. Roeder, et al. Probes for Molecular Imaging with Computed Tomography and Application to Cancer Imaging. Proc. SPIE, 10132, 101320X (2017). Read paper.
Soft tissue imaging
Spectral imaging provides better soft tissue contrast than is available with traditional x-ray systems. This enables imaging and distinguishing pathological features of cardiovascular disease at high spatial resolution, for example the components of atherosclerotic plaque. Alternatively it can be used to better characterise muscles, bone and fat.
Downloadable data set of lamb meat.
R. Aamir, et al. MARS spectral molecular imaging of lamb tissue: data collection and image analysis. Journal of Instrumentation, vol. 9, no. 02, p. P02005. Read paper.
Bone and joint imaging
MARS enables both structural, and material information to be measured simultaneously. This means that bone mineralisation or bone densitometry can be measured within bone sites as well as architectural features such as cortical thickness, trabecular thickness, and trabecular spacing. Furthermore, some biomarkers of cartilage health can be measured including early measures of osteoarthritis.
Downloadable data sets include metallic scaffolds.
M. Ramyar, et al. Establishing a method to measure bone structure using spectral CT. SPIE Medical Imaging, 2017. DOI: 10.1117/12.2255616. Read paper.
M. Ramyar, et al. Establishing a method to measure bone density using spectral CT. Published by the European Congress of Radiology, 2017. (Link will be made available soon).
K Rajendran, et al. Quantitative imaging of excised osteoarthritic cartilage using spectral CT. Eur Radiol (2017) 27:384–392. DOI 10.1007/s00330-016-4374-7 Read paper.
K. Rajendran et.al. Reducing beam hardening and metal artefacts in spectral CT using Medipix3RX. Journal of Instrumentation, Vol. 9 P03015, March 2014. Read paper.