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Bone contrast optimization in magnetic resonance imaging using experimental design of ultra-short echo-time parameters
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
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2013 (English)In: Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, E-ISSN 1873-3239, Vol. 125, 33-39 p.Article in journal (Refereed) Published
Abstract [en]

For the purpose of improved planning and treatment by radiation of tumours, we present work exploring the effect of controllable ultra-short echo-time (UTE) sequence settings on the bone contrast in magnetic resonance (MR) imaging, using design of experiments (DoE). Images were collected using UTE sequences from MR imaging and from standard computed tomography (CT). CT was used for determining the spatial position of the bony structures in an animal sample and co-registered with the MR images. The effect of the UTE sequence parameter flip angle (Flip), repetition time (T-R), echo time (T-E), image matrix size (Vox) and number of radial sampling spokes (Samp) were studied. The parameters were also investigated in a healthy voluntary and it was determined that the optimal UTE settings for high bone contrast in a clinically relevant set up were: Flip similar to 9 degrees and T-E = 0.07 ms, while T-R was kept at 8 ms, Vox at 192 and Samp at 30,000. The use of response surface maps, describing the modelled relation between bone contrast and UTE settings, founded in the DoE, may provide information and be a tool to more appropriately select suitable UTE sequence settings.

Place, publisher, year, edition, pages
Elsevier Science , 2013. Vol. 125, 33-39 p.
Keyword [en]
Magnetic resonance imaging, Ultra-short echo time, Experimental design, Bone contrast, Multiple linear regression
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-78438DOI: 10.1016/j.chemolab.2013.03.011ISI: 000320217500004OAI: oai:DiVA.org:umu-78438DiVA: diva2:637836
Available from: 2013-07-23 Created: 2013-07-22 Last updated: 2017-12-06Bibliographically approved

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Lindström, AntonAndersson, C. DavidJohansson, AdamKarlsson, MikaelNyholm, Tufve
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