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Related papers: Calcium Removal From Cardiac CT Images Using Deep …

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To decrease patient waiting time for diagnosis of the Coronary Artery Disease, automatic methods are applied to identify its severity using Coronary Computed Tomography Angiography scans or extracted Multiplanar Reconstruction (MPR) images,…

Image and Video Processing · Electrical Eng. & Systems 2020-06-16 Mariia Dobko , Bohdan Petryshak , Oles Dobosevych

Frangi Filters are one of the widely used filters for enhancing vessels in medical images. Since they were first proposed, the threshold of the vesselness function of Frangi Filters is to be arranged for each individual application. These…

Computer Vision and Pattern Recognition · Computer Science 2018-12-11 Dhruv Gosain , Rishabh Joshi

Head Non-contrast computed tomography (NCCT) scan remain the preferred primary imaging modality due to their widespread availability and speed. However, the current standard for manual annotations of abnormal brain tissue on head NCCT scans…

Image and Video Processing · Electrical Eng. & Systems 2023-07-11 Arunkumar Govindarajan , Arjun Agarwal , Subhankar Chattoraj , Dennis Robert , Satish Golla , Ujjwal Upadhyay , Swetha Tanamala , Aarthi Govindarajan

Calcium imaging has become a fundamental neural imaging technique, aiming to recover the individual activity of hundreds of neurons in a cortical region. Current methods (mostly matrix factorization) are aimed at detecting neurons in the…

Applications · Statistics 2019-02-11 Gal Mishne , Adam S. Charles

By acquiring two sets of tomographic measurements at distinct X-ray spectra, the dual-energy CT (DECT) enables quantitative material-specific imaging. However, the conventionally decomposed material basis images may encounter severe image…

The accuracy of coronary artery disease (CAD) diagnosis is dependent on a variety of factors, including demographic, symptom, and medical examination, ECG, and echocardiography data, among others. In this context, artificial intelligence…

Artificial Intelligence · Computer Science 2023-08-30 Elham Nasarian , Danial Sharifrazi , Saman Mohsenirad , Kwok Tsui , Roohallah Alizadehsani

Intracoronary Optical Coherence Tomography (OCT) enables high-resolution visualization of coronary vessel anatomy but presents challenges due to noise, imaging artifacts, and complex tissue structures. This paper proposes a fully automated…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Amal Lahchim , Lambros Athanasiou

Computed Tomography (CT) is a vital diagnostic tool in clinical practice, yet the health risks associated with ionizing radiation cannot be overlooked. Low-dose CT (LDCT) helps mitigate radiation exposure but simultaneously leads to reduced…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Guoliang Gong , Man Yu

Cardiovascular Diseases (CVDs) are the leading cause of death worldwide, taking 17.9 million lives annually. Abdominal Aortic Calcification (AAC) is an established marker for CVD, which can be observed in lateral view Vertebral Fracture…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Zaid Ilyas , Afsah Saleem , David Suter , Siobhan Reid , John Schousboe , William Leslie , Joshua Lewis , Syed Zulqarnain Gilani

In computed tomography (CT), the presence of metallic implants in patients often leads to disruptive artifacts in the reconstructed images, hindering accurate diagnosis. Recently, a large amount of supervised deep learning-based approaches…

Image and Video Processing · Electrical Eng. & Systems 2024-06-21 Xinquan Yang , Guanqun Zhou , Wei Sun , Youjian Zhang , Zhongya Wang , Jiahui He , Zhicheng Zhang

In intracoronary optical coherence tomography (OCT), blood residues and gas bubbles cause attenuation artifacts that can obscure critical vessel structures. The presence and severity of these artifacts may warrant re-acquisition, prolonging…

Low Dose CT Denoising research aims to reduce the risks of radiation exposure to patients. Recently researchers have used deep learning to denoise low dose CT images with promising results. However, approaches that use mean-squared-error…

Image and Video Processing · Electrical Eng. & Systems 2024-09-05 Sepehr Ataei , Javad Alirezaie , Paul Babyn

The cone beam computed tomography (CBCT) technique was first inserted in dental imaging 15 years ago. Due to this technique 3D imaging in dentistry has been excessively changed. The purpose beyond using CBCT instead of computed tomography…

Medical Physics · Physics 2018-12-11 Kaspar Höschel , Janos Juhasz

The presence of metallic implants often introduces severe metal artifacts in the X-ray CT images, which could adversely influence clinical diagnosis or dose calculation in radiation therapy. In this work, we present a novel…

Image and Video Processing · Electrical Eng. & Systems 2021-09-29 Lequan Yu , Zhicheng Zhang , Xiaomeng Li , Hongyi Ren , Wei Zhao , Lei Xing

Accurate quantification in positron emission tomography (PET) is essential for accurate diagnostic results and effective treatment tracking. A major issue encountered in PET imaging is attenuation. Attenuation refers to the diminution of…

This project intends to study a cardiovascular disease risk early warning model based on one-dimensional convolutional neural networks. First, the missing values of 13 physiological and symptom indicators such as patient age, blood glucose,…

Machine Learning · Computer Science 2024-06-14 Yuxiang Hu , Jinxin Hu , Ting Xu , Bo Zhang , Jiajie Yuan , Haozhang Deng

Computed Tomography (CT) is widely used in healthcare for detailed imaging. However, Low-dose CT, despite reducing radiation exposure, often results in images with compromised quality due to increased noise. Traditional methods, including…

Image and Video Processing · Electrical Eng. & Systems 2024-09-17 Herman Verinaz-Jadan , Su Yan

Cardiac Magnetic Resonance Imaging (CMR) is widely used since it can illustrate the structure and function of heart in a non-invasive and painless way. However, it is time-consuming and high-cost to acquire the high-quality scans due to the…

Image and Video Processing · Electrical Eng. & Systems 2020-07-09 Jhih-Yuan Lin , Yu-Cheng Chang , Winston H. Hsu

In computer-assisted orthodontics, three-dimensional tooth models are required for many medical treatments. Tooth segmentation from cone-beam computed tomography (CBCT) images is a crucial step in constructing the models. However, CBCT…

Image and Video Processing · Electrical Eng. & Systems 2023-07-06 Jiaxiang Liu , Tianxiang Hu , Yang Feng , Wanghui Ding , Zuozhu Liu

Due to the potential risk of inducing cancers, radiation dose of X-ray CT should be reduced for routine patient scanning. However, in low-dose X-ray CT, severe artifacts usually occur due to photon starvation, beamhardening, etc, which…

Computer Vision and Pattern Recognition · Computer Science 2018-02-07 Eunhee Kang , Junhong Min , Jong Chul Ye