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Standard dual-energy computed tomography (CT) uses two different X-ray energies to obtain energy-dependent tissue attenuation information to allow quantitative material decomposition. The combined use of dual-energy CT and positron emission…

医学物理 · 物理学 2020-12-30 Guobao Wang

Dual-energy computed tomography (DECT) is of great significance for clinical practice due to its huge potential to provide material-specific information. However, DECT scanners are usually more expensive than standard single-energy CT…

医学物理 · 物理学 2020-06-02 Tianling Lyu , Zhan Wu , Yikun Zhang , Yang Chen , Lei Xing , Wei Zhao

Combined use of PET and dual-energy CT provides complementary information for multi-parametric imaging. PETenabled dual-energy CT combines a low-energy x-ray CT image with a high-energy &\gamma&-ray CT (GCT) image reconstructed from…

医学物理 · 物理学 2021-08-04 Siqi Li , Guobao Wang

Combining dual-energy computed tomography (DECT) with positron emission tomography (PET) offers many potential clinical applications but typically requires expensive hardware upgrades or increases radiation doses on PET/CT scanners due to…

医学物理 · 物理学 2024-06-21 Siqi Li , Yansong Zhu , Benjamin A. Spencer , Guobao Wang

Dual-energy computed tomography (CT) is to reconstruct images of an object from two projection datasets generated from two distinct x-ray source energy spectra. It can provide more accurate attenuation quantification than conventional CT…

医学物理 · 物理学 2018-05-15 Wenxiang Cong , Daniel Harrison , Yan Xi , Ge Wang

Compared with conventional single-energy computed tomography (CT), dual-energy CT (DECT) provides better material differentiation but most DECT imaging systems require dual full-angle projection data at different X-ray spectra. Relaxing the…

In a standard computed tomography (CT) image, pixels having the same Hounsfield Units (HU) can correspond to different materials and it is therefore challenging to differentiate and quantify materials. Dual-energy CT (DECT) is desirable to…

医学物理 · 物理学 2020-10-27 Wei Zhao , Tianling Lyu , Yang Chen , Lei Xing

Dual-energy CT (DECT) has been widely investigated to generate more informative and more accurate images in the past decades. For example, Dual-Energy Alternating Minimization (DEAM) algorithm achieves sub-percentage uncertainty in…

图像与视频处理 · 电气工程与系统科学 2021-08-03 Tao Ge , Maria Medrano , Rui Liao , David G. Politte , Jeffrey F. Williamson , Joseph A. O'Sullivan

Cone-beam CT (CBCT) is installed in the treatment room to facilitate online clinical applications, including image guidance in radiation and surgery. Half-fan and short-can are the commonly used modes in clinical applications to expand the…

医学物理 · 物理学 2022-05-24 Junbo Peng

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,…

图像与视频处理 · 电气工程与系统科学 2019-08-20 Zhipeng Li , Saiprasad Ravishankar , Yong Long , Jeffrey A. Fessler

Dual-energy X-ray Computed Tomography (DECT) constitutes an advanced technology which enables automatic decomposition of materials in clinical images without manual segmentation using the dependency of the X-ray linear attenuation with…

图像与视频处理 · 电气工程与系统科学 2025-07-25 Hang Xu , Alexandre Bousse , Alessandro Perelli

Dual-energy computed tomography (DECT) is an advanced CT scanning technique enabling material characterization not possible with conventional CT scans. It allows the reconstruction of energy decay curves at each 3D image voxel, representing…

图像与视频处理 · 电气工程与系统科学 2022-02-01 Segolene Brivet , Faicel Chamroukhi , Mark Coates , Reza Forghani , Peter Savadjiev

Dual energy X-ray Computed Tomography (DECT) enables to automatically decompose materials in clinical images without the manual segmentation using the dependency of the X-ray linear attenuation with energy. In this work we propose a deep…

图像与视频处理 · 电气工程与系统科学 2024-06-04 Jiandong Wang , Alessandro Perelli

Dual-energy computed tomography (DECT) has shown great potential and promising applications in advanced imaging fields for its capabilities of material decomposition. However, image reconstructions and decompositions under sparse views…

医学物理 · 物理学 2016-08-01 Lei Li , Ailong Cai , Linyuan Wang , Bin Yan , Hanming Zhang , Zhizhong Zheng , Wenkun Zhang , Wanli Lu , Guoen Hu

Dual-energy computed tomography (DECT) enables material-specific imaging through acquisitions at two different X-ray energy spectra. Material decomposition from DECT data is an ill-posed inverse problem that is highly sensitive to noise…

Dual-energy computed tomography (DECT) has been widely used to obtain quantitative elemental composition of imaged subjects for personalized and precise medical diagnosis. Compared with DECT leveraging advanced X-ray source and/or detector…

医学物理 · 物理学 2024-08-28 Qiaoxin Li , Ruifeng Chen , Peng Wang , Guotao Quan , Yanfeng Du , Dong Liang , Yinsheng Li

In a standard computed tomography (CT) image, pixels having the same Hounsfield Units (HU) can correspond to different materials and it is, therefore, challenging to differentiate and quantify materials. Dual-energy CT (DECT) is desirable…

医学物理 · 物理学 2019-11-01 Wei Zhao , Tianling Lv , Peng Gao , Liyue Shen , Xianjin Dai , Kai Cheng , Mengyu Jia , Yang Chen , Lei Xing

X-ray energy spectrum plays an essential role in computed tomography (CT) imaging and related tasks. Due to the high photon flux of clinical CT scanners, most of spectrum estimation methods are indirect and usually suffered from various…

医学物理 · 物理学 2017-06-14 Wei Zhao , Lei Xing , Qiude Zhang , Qingguo Xie , Tianye Niu

Spectral computed tomography (CT) has recently emerged as an advanced version of medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two main forms: dual-energy computed tomography (DECT) and…

Many clinical applications depend critically on the accurate differentiation and classification of different types of materials in patient anatomy. This work introduces a unified framework for accurate nonlinear material decomposition and…

医学物理 · 物理学 2018-03-19 Wei Zhao , Don Vernekohl , Fei Han , Bin Han , Hao Peng , Lei Xing , James K Min
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