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Published byAlannah Todd Modified over 9 years ago
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MARS Imaging: Biomedical 3D spectroscopic X-ray imaging Anthony Butler
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Goal To bring spectroscopic X-ray imaging into medical use X-ray Detector Technology Clinical Application Our team is bridging this gap
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Overview X-ray source Object Pattern Recognition System Detector
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The Team Technical team University of Canterbury Clinical team University of Otago International Partners Incl. CERN, Cambridge Uni and Erlangen Uni The company MARS Bioimaging Ltd
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Benefits of Spectral X-rays Better image quality Less artefacts eg. Around coronary artery stents K-edge imaging Better use of contrast agents eg. Less scanning Intrinsic tissue contrast eg. Breast cancer from normal tissue
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Polychromatic Bone Soft tissue Gadolinium Modelled using the 8 energy thresholds Potential of full body imaging
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The MARS Scanner M edipix A ll R esolution S ystem Energy resolution Spatial resolution Temporal resolution Desktop microCT (x-ray) -Small animal studies -Pathology studies
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Medipix Spectroscopic Photon Processing Detector 17 Institutes, 12 years Hosted by CERN We provide Test-bed for technology Application development First clinical experiments
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First MARS medical scan Iodine contrast 12 keV17 keV33 keV42 keV
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Looks like a “traditional CT” MARS has higher resolution Results: Grey Scale Imaging
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12keV17keV 33keV42keV
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Results: Spectral Imaging IodineNon-iodine Useful for heart and cancer imaging
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Results: Spectral Imaging
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Anthony Butler Nick Cook (CDHB) Nanette Schleich (UC) Juergen Meyer (Physics UC) Peter Renau (UC Maths) Fred Ross (Electrical UC) Phil Bones (Electrical UC) Stephen Hemmingson (Physics UC) Ross Ritchie (Physics UC) Nigel Anderson (Radiology UO) Richard Heinz (Physics UC) Jonathan Selkirk (Physics UC) MARS Medipix All Resolution System Phil Butler (Physics UC) Jochen Butzer (Physics UC) Markus Firsching (Erlangen) Henry Liu (UO Radiology) Richard Watts (Physics UC) Nicola Scott (Cardiology, UO) Raphael Grasset (HITLab UC) Dave van Leeuwen (Electrical UC) Tim Buckenham (Radiology UO) Rachel Cullens (CPIT / UO) Medipix Collaboration (CERN )
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