Multi-material decomposition of spectral CT images

Mendonça, Paulo R. S.; Bhotika, Rahul; Maddah, Mahnaz; Thomsen, Brian; Dutta, Sandeep; Licato, Paul; Joshi, Mukta C.

doi:10.1117/12.844531

Cited by 39 publications

(29 citation statements)

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“…The work in [23] applies different models for the density of a mixture to derive a constraint that allows triple material decomposition prior to image reconstruction. Finally, of special interest is [24], which explores pre-reconstruction concepts first introduced in a preliminary version of the present work [25]. Although pre-reconstruction methods lack the flexibility and computational efficiency of our technique, they are potentially more accurate.…”

Section: A Related Workmentioning

confidence: 97%

“…This model allows for the establishment of a relationship between and , because the introduction of the linear constraint in (1) immediately allows for decompositions into material triplets rather than a material pair [25]. Since and are related via , the derivation of such correlation requires a model for .…”

Section: Multi-materials Decompositionmentioning

confidence: 99%

“…Recently, improvements in CT imaging have led to a resurgence of material decomposition methods, applied to pre- [23] and postreconstruction (or image-based) [36], [25] dual-energy CT data. Image-based methods are derived from the reconstruction of two independent CT volumes, using X-ray projections with distinct energy spectra in each acquisition [37], and approximate separation of the data into a material basis is carried out as a subsequent postprocessing step.…”

Section: B Dual-energy Ct Imagingmentioning

confidence: 99%

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A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images

Mendonça

Lamb

Sahani³

2014

IEEE Trans. Med. Imaging

170

202

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The ability of dual-energy computed-tomographic (CT) systems to determine the concentration of constituent materials in a mixture, known as material decomposition, is the basis for many of dual-energy CT's clinical applications. However, the complex composition of tissues and organs in the human body poses a challenge for many material decomposition methods, which assume the presence of only two, or at most three, materials in the mixture. We developed a flexible, model-based method that extends dual-energy CT's core material decomposition capability to handle more complex situations, in which it is necessary to disambiguate among and quantify the concentration of a larger number of materials. The proposed method, named multi-material decomposition (MMD), was used to develop two image analysis algorithms. The first was virtual unenhancement (VUE), which digitally removes the effect of contrast agents from contrast-enhanced dual-energy CT exams. VUE has the ability to reduce patient dose and improve clinical workflow, and can be used in a number of clinical applications such as CT urography and CT angiography. The second algorithm developed was liver-fat quantification (LFQ), which accurately quantifies the fat concentration in the liver from dual-energy CT exams. LFQ can form the basis of a clinical application targeting the diagnosis and treatment of fatty liver disease. Using image data collected from a cohort consisting of 50 patients and from phantoms, the application of MMD to VUE and LFQ yielded quantitatively accurate results when compared against gold standards. Furthermore, consistent results were obtained across all phases of imaging (contrast-free and contrast-enhanced). This is of particular importance since most clinical protocols for abdominal imaging with CT call for multi-phase imaging. We conclude that MMD can successfully form the basis of a number of dual-energy CT image analysis algorithms, and has the potential to improve the clinical utility of dual-energy CT in disease management.

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Section: A Related Workmentioning

confidence: 97%

Section: Multi-materials Decompositionmentioning

confidence: 99%

Section: B Dual-energy Ct Imagingmentioning

confidence: 99%

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A Flexible Method for Multi-Material Decomposition of Dual-Energy CT Images

Mendonça

Lamb

Sahani³

2014

IEEE Trans. Med. Imaging

170

202

View full text Add to dashboard Cite

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“…Future studies may determine the accuracy of contrast medium quantification and whether dual-energy CT or spectral CT may provide reliable images of more than two contrast media (17).…”

Section: Technical Developmentsmentioning

confidence: 99%

In Vivo Differentiation of Complementary Contrast Media at Dual-Energy CT

Mongan¹,

Rathnayake²,

Fu³

et al. 2012

Radiology

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Purpose:To evaluate the feasibility of using a commercially available clinical dual-energy computed tomographic (CT) scanner to differentiate the in vivo enhancement due to two simultaneously administered contrast media with complementary x-ray attenuation ratios. Materials and Methods:Approval from the institutional animal care and use committee was obtained, and National Institutes of Health guidelines for the care and use of laboratory animals were observed. Dual-energy CT was performed in a set of iodine and tungsten solution phantoms and in a rabbit in which iodinated intravenous and bismuth subsalicylate oral contrast media were administered. In addition, a second rabbit was studied after intravenous administration of iodinated and tungsten cluster contrast media. Images were processed to produce virtual monochromatic images that simulated the appearance of conventional single-energy scans, as well as material decomposition images that separate the attenuation due to each contrast medium. Results:Clear separation of each of the contrast media pairs was seen in the phantom and in both in vivo animal models. Separation of bowel lumen from vascular contrast medium allowed visualization of bowel wall enhancement that was obscured by intraluminal bowel contrast medium on conventional CT scans. Separation of two vascular contrast media in different vascular phases enabled acquisition of a perfectly coregistered CT angiogram and venous phaseenhanced CT scan simultaneously in a single examination. Conclusion:Commercially available clinical dual-energy CT scanners can help differentiate the enhancement of selected pairs of complementary contrast media in vivo.

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“…By contrast, virtual unenhanced images generated by dual-energy CT scanners with fast kilovoltage switching provide lesion density measurements in milligrams per milliliter of water and do not allow attenuation measurements; although image processing algorithms exist that would allow the extrapolation of attenuation data in Hounsfield units from these images, scanners with such algorithms are not yet available for clinical use (29).…”

Section: Renal Mass Characterizationmentioning

confidence: 91%