Spectral Hounsfield units: a new radiological concept

Hurrell, Michael; Butler, Anthony; Cook, Nick; Butler, P. H.; Ronaldson, J P; Zainon, Rafidah

doi:10.1007/s00330-011-2348-3

Cited by 41 publications

(23 citation statements)

References 17 publications

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“…400 HU 90 , when the mean energy used is 90 keV. [1] We support this new scale of Units in principle. However, it seems to us that the use of solely the mean energy to denote the attenuation will be insufficient.…”

Section: Modified Units For Computed Tomographysupporting

confidence: 56%

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Letter to the Editor re: Spectral Hounsfield units—a new radiological concept

Cormode

Fayad

2012

Eur Radiol

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Section: Modified Units For Computed Tomographysupporting

confidence: 56%

“…We read with interest the recent paper in your journal by Hurrell et al[1]. In this paper, they observed that in spectral CT measurements of materials such as iodine, iron, calcium and oil in a phantom using their Medipix-based system, the attenuation of the samples was highly dependent on the X-ray energy window.…”

Section: Modified Units For Computed Tomographymentioning

confidence: 99%

Letter to the Editor re: Spectral Hounsfield units—a new radiological concept

Cormode

Fayad

2012

Eur Radiol

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“…In contrast to SECT, spectral CT by ssDECT provides not only SECT images at 140 kVp but also virtual monochromatic spectral (VMS) images at 40-140 keV, material decomposition images, and effective atomic number images. Thus, ssDECT transforms CT scan from single-parameter imaging into multi-parameter imaging, and offers novel strategies for the assessment of various diseases [17]. VMS images are less susceptible to beam-hardening and metal streak artifacts while also providing more accurate and reproducible attenuation measurement [18].…”

Section: Introductionmentioning

confidence: 99%

Differential diagnosis of osteoblastic metastases from bone islands in patients with lung cancer by single-source dual-energy CT: Advantages of spectral CT imaging

Dong

Zheng

Machida

et al. 2015

European Journal of Radiology

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“…The CT numbers were quantified in spectral Hounsfield Units [51] by normalizing CT attenuation (commonly known as linear attenuation coefficient µ) to water and air to account for the differing attenuation at different energies as defined by Equation (1)…”

Section: Image Processing and Reconstructionmentioning

confidence: 99%

Measuring Identification and Quantification Errors in Spectral CT Material Decomposition

et al. 2018

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Material decomposition methods are used to identify and quantify multiple tissue components in spectral CT but there is no published method to quantify the misidentification of materials. This paper describes a new method for assessing misidentification and mis-quantification in spectral CT. We scanned a phantom containing gadolinium (1, 2, 4, 8 mg/mL), hydroxyapatite (54.3, 211.7, 808.5 mg/mL), water and vegetable oil using a MARS spectral scanner equipped with a poly-energetic X-ray source operated at 118 kVp and a CdTe Medipix3RX camera. Two imaging protocols were used; both with and without 0.375 mm external brass filter. A proprietary material decomposition method identified voxels as gadolinium, hydroxyapatite, lipid or water. Sensitivity and specificity information was used to evaluate material misidentification. Biological samples were also scanned. There were marked differences in identification and quantification between the two protocols even though spectral and linear correlation of gadolinium and hydroxyapatite in the reconstructed images was high and no qualitative segmentation differences in the material decomposed images were observed. At 8 mg/mL, gadolinium was correctly identified for both protocols, but concentration was underestimated by over half for the unfiltered protocol. At 1 mg/mL, gadolinium was misidentified in 38% of voxels for the filtered protocol and 58% of voxels for the unfiltered protocol. Hydroxyapatite was correctly identified at the two higher concentrations for both protocols, but mis-quantified for the unfiltered protocol. Gadolinium concentration as measured in the biological specimen showed a two-fold difference between protocols. In future, this methodology could be used to compare and optimize scanning protocols, image reconstruction methods, and methods for material differentiation in spectral CT.

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Spectral Hounsfield units: a new radiological concept

Cited by 41 publications

References 17 publications

Letter to the Editor re: Spectral Hounsfield units—a new radiological concept

Letter to the Editor re: Spectral Hounsfield units—a new radiological concept

Differential diagnosis of osteoblastic metastases from bone islands in patients with lung cancer by single-source dual-energy CT: Advantages of spectral CT imaging

Measuring Identification and Quantification Errors in Spectral CT Material Decomposition

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