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Runing Xiao and Jinzhi Zhou
As a typical landmark in human lungs, the detection of pulmonary fissures is of significance to computer aided diagnosis and surgery. However, the automatic detection of pulmonary fissures in CT images is a difficult task due to complex factors like thei...
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Gergo Bognár
Pág. 1 - 7
In this paper a no-reference image quality metric designed for human lung CT scans is presented. The metric can be used for several purposes, including the evaluation of visual quality of CT scans or controlling enhancement processes. The developed metho...
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Teresa Kwamboka Abuya, Richard Maina Rimiru and George Onyango Okeyo
Denoising computed tomography (CT) medical images is crucial in preserving information and restoring images contaminated with noise. Standard filters have extensively been used for noise removal and fine details? preservation. During the transmission of ...
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Krzysztof Malczewski
One of the most challenging aspects of medical modalities such as Computed Tomography (CT) as well hybrid techniques such as CT/PET (Computed Tomography/Positron emission tomography) and PET/MRI is finding a balance between examination time, radiation do...
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Yunshan Sun, Liyi Zhang, Yanqin Li and Juan Meng
Computed tomography (CT) image reconstruction and restoration are very important in medical image processing, and are associated together to be an inverse problem. Image iterative reconstruction is a key tool to increase the applicability of CT imaging a...
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Jin-Woo Kong, Byoung-Doo Oh, Chulho Kim and Yu-Seop Kim
Intracerebral hemorrhage (ICH) is a severe cerebrovascular disorder that poses a life-threatening risk, necessitating swift diagnosis and treatment. While CT scans are the most effective diagnostic tool for detecting cerebral hemorrhage, their interpreta...
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Ebrahim Hajian, José Couceiro, Lars Hansson and Dick Sandberg
Determining moisture content (MC) distribution during the drying of porous materials such as wood is crucial for developing drying schedules and assessing their suitability to achieve optimised processes. This study aimed to determine the causes of the u...
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Jiayi Peng, Zhenzhong Shen, Wenbing Zhang and Wen Song
Permeability characteristics in coarse-grained soil is pivotal for enhancing the understanding of its seepage behavior and effectively managing it, directly impacting the design, construction, and operational safety of embankment dams. Furthermore, these...
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Li-Heng Shu, Fu-Jian Ni, Ji-Wang Jiang, Zi-Li Zhao and Zhao-Yuan Guo
Authors are encouraged to provide a concise description of the specific application or a potential application of the work. This section is not mandatory.
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Muflah Nasir, Muhammad Shahid Farid, Zobia Suhail and Muhammad Hassan Khan
Lung cancer is the world?s second-largest cause of cancer mortality. Patients? lives can be saved if this malignancy is detected early. Doctors, however, encounter difficulties in detecting cancer in computed tomography (CT) images. In recent years, sign...
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Jonas Grande-Barreto, Eduardo Polanco-Castro, Hayde Peregrina-Barreto, Eduardo Rosas-Mialma and Carmina Puig-Mar
Creating synthetic images of trabecular tissue provides an alternative for researchers to validate algorithms designed to study trabecular bone. Developing synthetic images requires baseline data, such as datasets of digital biological samples or templat...
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Shun Liu, Hongyi Lu, Bin Zhang, Yucheng Yang and Doudou Sang
The presence of the erosive burning effect during the operation of a solid rocket motor (SRM) is one of the most important factors affecting the proper operation of the motor. To solve the effects of the operating process of the motor under erosive burni...
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Edgars Edelmers, Dzintra Kazoka, Katrina Bolocko and Mara Pilmane
The choice of technique for the creation of a 3D digital human bone model from natural specimens has a critical impact on the final result and usability of the obtained model. The cornerstone factor in 3D modeling is the number of faces of polygon mesh, ...
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César Jesús-Valls, Marc Granado-González, Thorsten Lux, Tony Price and Federico Sánchez
Recently, we proposed a novel range detector concept named ASTRA. ASTRA is optimized to accurately measure (better than 1%) the residual energy of protons with kinetic energies in the range from tens to a few hundred MeVs at a very high rate of O(" role=...
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En Xie, Peijun Ni, Rongfan Zhang and Xiongbing Li
High-quality limited-angle computed tomography (CT) reconstruction is in high demand in the medical field. Being unlimited by the pairing of sinogram and the reconstructed image, unsupervised methods have attracted wide attention from researchers. The re...
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Dong Duan, Xiaoyu Chen, Xiaojing Feng, Xin Wang and Jiang Sun
In order to study the damage evolution law and failure mechanism of mudstone under different stress states, with the help of high-resolution CT scanning equipment, in situ CT scanning experiments of mudstone under uniaxial compression were carried out. C...
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Albatoul S. Althenayan, Shada A. AlSalamah, Sherin Aly, Thamer Nouh and Abdulrahman A. Mirza
Coronavirus disease (COVID-19) is a viral pneumonia that originated in China and has rapidly spread around the world. Early diagnosis is important to provide effective and timely treatment. Thus, many studies have attempted to solve the COVID-19 classifi...
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Jean Léger, Eliott Brion, Paul Desbordes, Christophe De Vleeschouwer, John A. Lee and Benoit Macq
For prostate cancer patients, large organ deformations occurring between radiotherapy treatment sessions create uncertainty about the doses delivered to the tumor and surrounding healthy organs. Segmenting those regions on cone beam CT (CBCT) scans acqui...
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Young-Joo Han and Ha-Jin Yu
Deep learning-based denoising methods have proved efficient for medical imaging. Obtaining a three-dimensional representation of a scanned object is essential, such as in the computed tomography (CT) system. A sufficient radiation dose needs to be irradi...
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Biprodip Pal, Debashis Gupta, Md. Rashed-Al-Mahfuz, Salem A. Alyami and Mohammad Ali Moni
The COVID-19 pandemic requires the rapid isolation of infected patients. Thus, high-sensitivity radiology images could be a key technique to diagnose patients besides the polymerase chain reaction approach. Deep learning algorithms are proposed in severa...
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