Filtered back projection (FBP) has been the standard CT image reconstruction method for 4 decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …
The first CT scanners in the early 1970s already used iterative reconstruction algorithms; however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
Objective. Low-dose computed tomography (LDCT) denoising is an important problem in CT research. Compared to the normal dose CT, LDCT images are subjected to severe noise …
Over past several years, machine learning, or more generally artificial intelligence, has generated overwhelming research interest and attracted unprecedented public attention. As …
H Chen, Y Zhang, Y Chen, J Zhang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Compressive sensing (CS) has proved effective for tomographic reconstruction from sparsely collected data or under-sampled measurements, which are practically important for …
The field of medical image reconstruction has seen roughly four types of methods. The first type tended to be analytical methods, such as filtered backprojection (FBP) for X-ray …
K Gong, C Catana, J Qi, Q Li - IEEE transactions on medical …, 2018 - ieeexplore.ieee.org
Recently, deep neural networks have been widely and successfully applied in computer vision tasks and have attracted growing interest in medical imaging. One barrier for the …
T Higaki, Y Nakamura, J Zhou, Z Yu, T Nemoto… - Academic radiology, 2020 - Elsevier
Objectives Noise, commonly encountered on computed tomography (CT) images, can impact diagnostic accuracy. To reduce the image noise, we developed a deep-learning …
E Kang, W Chang, J Yoo, JC Ye - IEEE transactions on medical …, 2018 - ieeexplore.ieee.org
Model-based iterative reconstruction algorithms for low-dose X-ray computed tomography (CT) are computationally expensive. To address this problem, we recently proposed a deep …