A rapid method for converting medical Computed Tomography scanner topogram attenuation scale to Hounsfield Unit scale and to obtain relative density values

Duchesne, Mathieu J.; Moore, Francis; Long, Bernard; Labrie, Jacques

doi:10.1016/j.enggeo.2008.06.009

Cited by 42 publications

(25 citation statements)

References 12 publications

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“…Additionally sediment composition, and resulting changes in the effective atomic number, also impacts the relationship between the HU value and density as a result of the photoelectric effect (see discussion and implications for geologic material in Duchesne et al . []), which was nicely demonstrated by Orsi and Anderson [] in the slope offset observed while comparing silica and carbonate rich sediments of different densities.…”

Section: Examplessupporting

confidence: 76%

SedCT: MATLAB™ tools for standardized and quantitative processing of sediment core computed tomography (CT) data collected using a medical CT scanner

Reilly

Stoner

Wiest

2017

Geochem Geophys Geosyst

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Computed tomography (CT) of sediment cores allows for high‐resolution images, three‐dimensional volumes, and down core profiles. These quantitative data are generated through the attenuation of X‐rays, which are sensitive to sediment density and atomic number, and are stored in pixels as relative gray scale values or Hounsfield units (HU). We present a suite of MATLAB™ tools specifically designed for routine sediment core analysis as a means to standardize and better quantify the products of CT data collected on medical CT scanners. SedCT uses a graphical interface to process Digital Imaging and Communications in Medicine (DICOM) files, stitch overlapping scanned intervals, and create down core HU profiles in a manner robust to normal coring imperfections. Utilizing a random sampling technique, SedCT reduces data size and allows for quick processing on typical laptop computers. SedCTimage uses a graphical interface to create quality tiff files of CT slices that are scaled to a user‐defined HU range, preserving the quantitative nature of CT images and easily allowing for comparison between sediment cores with different HU means and variance. These tools are presented along with examples from lacustrine and marine sediment cores to highlight the robustness and quantitative nature of this method.

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Section: Examplessupporting

confidence: 76%

SedCT: MATLAB™ tools for standardized and quantitative processing of sediment core computed tomography (CT) data collected using a medical CT scanner

Reilly

Stoner

Wiest

2017

Geochem Geophys Geosyst

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“…The archive halves were ran through a computerized coaxial tomography scanner (CAT‐Scan) at 0.1 cm intervals at INRS‐ETE in Québec City. The digital X‐ray resulting images were displayed on gray scale and expressed as CT numbers, which primarily reflects changes in bulk density [ St ‐ Onge et al , 2007; Duchesne et al , 2009]. Grain size analyses were performed on sediment samples (1–2 g) at the Institut des sciences de la mer de Rimouski (ISMER) using a Beckman Coulter™ LS13320 laser diffraction grain size analyzer at 4 cm intervals.…”

Section: Methodsmentioning

confidence: 99%

Late Quaternary chronostratigraphic framework of deep Baffin Bay glaciomarine sediments from high‐resolution paleomagnetic data

Simon

St‐Onge

Hillaire‐Marcel

2012

Geochem Geophys Geosyst

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[1] The late Quaternary Baffin Bay sediments provide exclusive records of Greenland, Innuitian and Laurentide ice sheet margin activities, as well as information about the Arctic and northern Atlantic ocean linkages through the Canadian Arctic Archipelago. Because of specific oceanographic conditions, foraminiferal d18 O-stratigraphies and radiocarbon ages fail to provide reliable chronologies. Here we propose an original chronostratigraphy spanning the last glacial cycle based on high-resolution paleomagnetic investigations on a 741-cm long core (HU2008-029-016PC) raised from the deep central Baffin Bay, near ODP site 645. Two major difficulties were encountered: (1) the high-frequency occurrence of rapidly deposited layers related to short ice sheet margin events (e.g., ice surges), and (2) the magnetic grain size variability. Physical and magnetic mineralogical properties were used to screen out unreliable magnetic sediment layers. The obtained relative paleointensity (RPI) proxy matches reference paleomagnetic stacks and regional records. Moreover, the resulting record depicts two major excursions which were assigned to the Laschamp and the Norwegian-Greenland-Sea events. It has thus been possible to derive a robust 115 ka chronology for the cored sequence. We concluded that even under such a dynamic sedimentary regime, magnetic properties of the sediments can provide a reliable chronostratigraphy, together with information on sedimentary processes.

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“…Nevertheless, it has also been proved to be useful in other fields and its application has been extended to palaeontology (López-Polín et al, 2008), geology (Duchesne et al, 2009) and also to food technology and the meat science field (Vestergaard et al, 2005). Application of computed tomography (CT) in meat science is based on the different X-ray attenuations that different tissues produce.…”

Section: Introductionmentioning

confidence: 99%

Prediction of salt and water content in dry-cured hams by computed tomography

Fulladosa

Santos-Garcés

Picouet

et al. 2010

Journal of Food Engineering

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A rapid method for converting medical Computed Tomography scanner topogram attenuation scale to Hounsfield Unit scale and to obtain relative density values

Cited by 42 publications

References 12 publications

SedCT: MATLAB™ tools for standardized and quantitative processing of sediment core computed tomography (CT) data collected using a medical CT scanner

SedCT: MATLAB™ tools for standardized and quantitative processing of sediment core computed tomography (CT) data collected using a medical CT scanner

Late Quaternary chronostratigraphic framework of deep Baffin Bay glaciomarine sediments from high‐resolution paleomagnetic data

Prediction of salt and water content in dry-cured hams by computed tomography

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