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The next great leap toward improving treatment of cancer with radiation will require the combined use of online adaptive and magnetic resonance guided radiation therapy techniques with automatic X-ray beam orientation selection.…

Medical Physics · Physics 2019-08-14 Ryan Neph , Yangsibo Huang , Youming Yang , Ke Sheng

Since, cancer is curable when diagnosed at an early stage, lung cancer screening plays an important role in preventive care. Although both low dose computed tomography (LDCT) and computed tomography (CT) scans provide more medical…

Image and Video Processing · Electrical Eng. & Systems 2020-07-28 Worawate Ausawalaithong , Sanparith Marukatat , Arjaree Thirach , Theerawit Wilaiprasitporn

Computed tomography (CT) uses X-ray measurements taken from sensors around the body to generate tomographic images of the human body. Conventional reconstruction algorithms can be used if the X-ray data are adequately sampled and of high…

Image and Video Processing · Electrical Eng. & Systems 2021-12-28 Ruiwen Xing , Thomas Humphries , Dong Si

Regularization methods are commonly used in X-ray CT image reconstruction. Different regularization methods reflect the characterization of different prior knowledge of images. In a recent work, a new regularization method called a…

Medical Physics · Physics 2017-04-18 Wenxiang Cong , Ge Wang , Qingsong Yang , Jiang Hsieh , Jia Li , Rongjie Lai

Cone-beam CT (CBCT) has been widely used in image guided radiation therapy (IGRT) to acquire updated volumetric anatomical information before treatment fractions for accurate patient alignment purpose. However, the excessive x-ray imaging…

Medical Physics · Physics 2010-04-13 Xun Jia , Yifei Lou , John Lewis , Ruijiang Li , Xuejun Gu , Chunhua Men , William Y. Song , Steve B. Jiang

In this paper, we first propose a variational model for the limited-angle computed tomography (CT) image reconstruction and then convert the model into an end-to-end deep network.We use the penalty method to solve the model and divide it…

Image and Video Processing · Electrical Eng. & Systems 2020-08-11 Wei Wang , Xiang-Gen Xia , Chuanjiang He , Zemin Ren , Jian Lu , Tianfu Wang , Baiying Lei

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…

Medical Physics · Physics 2016-08-01 Lei Li , Ailong Cai , Linyuan Wang , Bin Yan , Hanming Zhang , Zhizhong Zheng , Wenkun Zhang , Wanli Lu , Guoen Hu

This paper applies the recent fast iterative neural network framework, Momentum-Net, using appropriate models to low-dose X-ray computed tomography (LDCT) image reconstruction. At each layer of the proposed Momentum-Net, the model-based…

Image and Video Processing · Electrical Eng. & Systems 2020-09-10 Siqi Ye , Yong Long , Il Yong Chun

Limited-angle computed tomography (CT) is often used in clinical applications such as C-arm CT for interventional imaging. However, CT images from limited angles suffers from heavy artifacts due to incomplete projection data. Existing…

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Jawook Gu , Jong Chul Ye

Low-dose computed tomography (LDCT) image reconstruction techniques can reduce patient radiation exposure while maintaining acceptable imaging quality. Deep learning is widely used in this problem, but the performance of testing data…

Image and Video Processing · Electrical Eng. & Systems 2024-06-04 Kecheng Chen , Jie Liu , Renjie Wan , Victor Ho-Fun Lee , Varut Vardhanabhuti , Hong Yan , Haoliang Li

Computed Tomography (CT) imposes risk on the patients due to its inherent X-ray radiation, stimulating the development of low-dose CT (LDCT) imaging methods. Lowering the radiation dose reduces the health risks but leads to noisier…

Image and Video Processing · Electrical Eng. & Systems 2022-11-03 Elvira Zainulina , Alexey Chernyavskiy , Dmitry V. Dylov

Cone-beam tomography enables rapid 3D acquisitions, making it a suitable imaging modality for dental imaging. However, as with all X-ray techniques, the main challenge is to reduce the dose while maintaining good image quality. Moreover,…

Signal Processing · Electrical Eng. & Systems 2024-12-24 Louise Friot--Giroux , Françoise Peyrin , Voichiţa Maxim

Computed tomography (CT) is an effective medical imaging modality, widely used in the field of clinical medicine for the diagnosis of various pathologies. Advances in Multidetector CT imaging technology have enabled additional…

Image and Video Processing · Electrical Eng. & Systems 2022-04-11 Abril Corona-Figueroa , Jonathan Frawley , Sam Bond-Taylor , Sarath Bethapudi , Hubert P. H. Shum , Chris G. Willcocks

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…

Medical Physics · Physics 2024-06-21 Siqi Li , Yansong Zhu , Benjamin A. Spencer , Guobao Wang

Computed Tomography (CT) is a non-invasive imaging modality with applications ranging from healthcare to security. It reconstructs cross-sectional images of an object using a collection of projection data collected at different angles.…

Image and Video Processing · Electrical Eng. & Systems 2019-09-04 Muhammad Usman Ghani , W. Clem Karl

LDCT has drawn major attention in the medical imaging field due to the potential health risks of CT-associated X-ray radiation to patients. Reducing the radiation dose, however, decreases the quality of the reconstructed images, which…

Image and Video Processing · Electrical Eng. & Systems 2022-04-19 Zhizhong Huang , Junping Zhang , Yi Zhang , Hongming Shan

A major challenge in computed tomography (CT) is how to minimize patient radiation exposure without compromising image quality and diagnostic performance. The use of deep convolutional (Conv) neural networks for noise reduction in Low-Dose…

Computer Vision and Pattern Recognition · Computer Science 2019-08-06 Chenyu You , Linfeng Yang , Yi Zhang , Ge Wang

Computed tomography (CT) scans offer a detailed, three-dimensional representation of patients' internal organs. However, conventional CT reconstruction techniques necessitate acquiring hundreds or thousands of x-ray projections through a…

Image and Video Processing · Electrical Eng. & Systems 2023-11-27 Chulong Zhang , Lin Liu , Jingjing Dai , Xuan Liu , Wenfeng He , Yinping Chan , Yaoqin Xie , Feng Chi , Xiaokun Liang

In coronary CT angiography, a series of CT images are taken at different levels of radiation dose during the examination. Although this reduces the total radiation dose, the image quality during the low-dose phases is significantly…

Computer Vision and Pattern Recognition · Computer Science 2019-03-06 Eunhee Kang , Hyun Jung Koo , Dong Hyun Yang , Joon Bum Seo , Jong Chul Ye

X-ray computed tomography (XCT) is an important tool for high-resolution non-destructive characterization of additively-manufactured metal components. XCT reconstructions of metal components may have beam hardening artifacts such as cupping…

Image and Video Processing · Electrical Eng. & Systems 2023-09-27 Obaidullah Rahman , Singanallur V. Venkatakrishnan , Luke Scime , Paul Brackman , Curtis Frederick , Ryan Dehoff , Vincent Paquit , Amirkoushyar Ziabari