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Dual-energy computed tomography (DECT) imaging plays an important role in advanced imaging applications due to its material decomposition capability. Image-domain decomposition operates directly on CT images using linear matrix inversion, but the decomposed material images can be severely degraded by noise and artifacts. This paper proposes a new method dubbed DECT-MULTRA for image-domain DECT material decomposition that combines conventional penalized weighted-least squares (PWLS) estimation with regularization based on a mixed union of learned transforms (MULTRA) model. Our proposed approach pre-learns a union of common-material sparsifying transforms from patches extracted from all the basis materials, and a union of cross-material sparsifying transforms from multi-material patches. The common-material transforms capture the common properties among different material images, while the cross-material transforms capture the cross-dependencies. The proposed PWLS formulation is optimized efficiently by alternating between an image update step and a sparse coding and clustering step, with both of these steps having closed-form solutions. The effectiveness of our method is validated with both XCAT phantom and clinical head data. The results demonstrate that our proposed method provides superior material image quality and decomposition accuracy compared to other competing methods.
This article was published in the following journal.
Name: IEEE transactions on medical imaging
Dual-energy CT (DECT) strengthens the material characterization and quantification due to its capability of material discrimination. The image-domain multi-material decomposition (MMD) via matrix inve...
Two new tools available in Radiation Oncology clinics are Dual-energy CT (DECT) and Siemens' DirectDensity™ (DD) reconstruction algorithm, which allows scans of any kV setting to use the same calibr...
Dual-energy CT (DECT) has been increasingly used in imaging applications because of its capability for material differentiation. However, material decomposition suffers from magnified noise from two C...
Dual-energy CT (DECT) involves the acquisition of CT attenuation data at two different energy levels. In musculoskeletal imaging, gout detection is the most validated clinical indication for DECT. How...
The objective of this study was to compare the image quality of iodine maps derived from subtraction CT and from dual-energy CT (DECT) in patients with suspected pulmonary embolism (PE).
The purpose of this study is to determine presence and volume of monosodium urate (MSU) crystal deposits as determined by dual-energy computed tomography (DECT) imaging in gout subjects tr...
This trial studies how well dual energy computed tomography (DECT) works in imaging patients with solid organ cancer that has spread to the brain. Imaging techniques, such as DECT, may hel...
Endpoints subproject 1: To develop a reproducible method for the detection of lymph nodes by DECT in operation specimens from rectal resection for cancer. sub project 2: Primary endpoint: ...
The overall goal of this project is to investigate the diagnostic performance of integrated F-18 fluorodeoxyglucose-positron emission tomography (FDG-PET) and Dual Energy CT (DECT) imaging...
The aim of this protocol is to refine the accuracy of proton beam therapy (PT) by the use of dual energy computed tomography (DECT), in conjunction with novel iterative image reconstructio...
A method of producing a high-quality scan by digitizing and subtracting the images produced by high- and low-energy x-rays.
Learned expectation that one's responses are independent of reward and, hence, do not predict or control the occurrence of rewards. Learned helplessness derives from a history, experimentally induced or naturally occurring, of having received punishment/aversive stimulation regardless of responses made. Such circumstances result in an impaired ability to learn. Used for human or animal populations. (APA, Thesaurus of Psychological Index Terms, 1994)
A method of delineating blood vessels by subtracting a tissue background image from an image of tissue plus intravascular contrast material that attenuates the X-ray photons. The background image is determined from a digitized image taken a few moments before injection of the contrast material. The resulting angiogram is a high-contrast image of the vessel. This subtraction technique allows extraction of a high-intensity signal from the superimposed background information. The image is thus the result of the differential absorption of X-rays by different tissues.
Electric power supply devices which convert biological energy, such as chemical energy of metabolism or mechanical energy of periodic movements, into electrical energy.
A photoelectric method of recording an X-ray image on a coated metal plate, using low-energy photon beams, long exposure time and dry chemical developers.