Filters








285 Hits in 6.0 sec

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network [article]

Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Jingwei Wei, Zhaoxiang Ye
<span title="2021-07-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To address this issue, we propose a Structure-preserving Kernel Prediction Network (StructKPN) that combines the kernel prediction network with a structure-aware loss function that utilizes the pixel gradient  ...  Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health.  ...  To address the above challenges, we propose a Structurepreserving Kernel Prediction Network, termed as StructKPN, to achieve strong performance on low-dose medical image denoising.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.14758v3">arXiv:2105.14758v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nlciihoyszealfxmhnmlan3qim">fatcat:nlciihoyszealfxmhnmlan3qim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210730160844/https://arxiv.org/pdf/2105.14758v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/56/5156ab10d71a00cad7371fe151e36dbd763556cc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.14758v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion [article]

Peng Liu, Ruogu Fang
<span title="2019-10-18">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
SDCNet is composed of sub-network blocks cascaded by skip-connections to infer the noise (differentials) from paired low/high-dose CT scans.  ...  SDCNet can effectively remove the noise in real low-dose CT scans and enhance the quality of medical images.  ...  Let us consider a low-dose noisy observation y = x + n.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.08364v1">arXiv:1910.08364v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kher72enrvczvc4p7pbgink7l4">fatcat:kher72enrvczvc4p7pbgink7l4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908035752/https://arxiv.org/pdf/1910.08364v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/50/02/50023680ab004d889d4793d1dc48b1fd4378a58d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.08364v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Low-Dose CT Image Denoising Using a Generative Adversarial Network with a Hybrid Loss Function for Noise Learning

Yinjin Ma, Biao Wei, Peng Feng, Peng He, Xiaodong Guo, Ge Wang
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In this paper, we propose a noise learning generative adversarial network coupling with least squares, structural similarity and L1 losses for low-dose CT denoising.  ...  INDEX TERMS Deep learning, generative adversarial network, least squares, low-dose CT, denoising.  ...  Cynthia McCollough, Mayo Clinic, and the American Association of Physicists in Medicine (AAPM) for providing the Low-Dose CT Grand Challenge dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2986388">doi:10.1109/access.2020.2986388</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cpr24kli3fbddc6zzrbl4a7uu4">fatcat:cpr24kli3fbddc6zzrbl4a7uu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108183111/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09058648.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/46/d7465c6f678cc7dfbe9280610fc9a74cecdbb1e1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2986388"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism [article]

Minghan Fu, Yanhua Duan, Zhaoping Cheng, Wenjian Qin, Ying Wang, Dong Liang, Zhanli Hu
<span title="2021-12-06">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, most of these methods only adopt Normal-dose CT (NDCT) images as ground truths to guide the training of the denoising network.  ...  To obtain high-quality Total-body Low-dose CT (LDCT) images, previous deep-learning-based research work has introduced various network architectures.  ...  CONCLUSION In conclusion, we propose the TSC-Net with novel network architecture for Total-body low-dose CT image denoising.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.00729v2">arXiv:2112.00729v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vvia2lec5zd2zoxwzxh3mfbbva">fatcat:vvia2lec5zd2zoxwzxh3mfbbva</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211204031229/https://arxiv.org/pdf/2112.00729v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/98/7c98d773e0eb5ffc2fb07b9713b2383ca88473d9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.00729v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography

K. A. Saneera Hemantha Kulathilake, Nor Aniza Abdullah, A. M. Randitha Ravimal Bandara, Khin Wee Lai, Yi-Zhang Jiang
<span title="2021-09-10">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cswd2rqrire6lgrsm56kv4adue" style="color: black;">Journal of Healthcare Engineering</a> </i> &nbsp;
Therefore, in this study, we propose a Generative Adversarial Network with Inception network modules (InNetGAN) as a solution for filtering the noise transmission through skip connections and preserving  ...  Low-dose Computed Tomography (LDCT) has gained a great deal of attention in clinical procedures due to its ability to reduce the patient's risk of exposure to the X-ray radiation.  ...  well-known guiding principle called as low as reasonable achievable (ALARA) has become a challenging topic in CT clinical procedures [2] . e most common method of obtaining a low radiation dose is to  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/9975762">doi:10.1155/2021/9975762</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34552709">pmid:34552709</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8452440/">pmcid:PMC8452440</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/64u777wzineljoeoh7zpt4s2ha">fatcat:64u777wzineljoeoh7zpt4s2ha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210916180009/https://downloads.hindawi.com/journals/jhe/2021/9975762.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/37/3e/373ef514acb8fd7edd11279b14bd5a98336102d7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/9975762"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452440" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Probabilistic self-learning framework for Low-dose CT Denoising [article]

Ti Bai, Dan Nguyen, Biling Wang, Steve Jiang
<span title="2021-01-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Supervised deep learning can be used to train a neural network to denoise the low-dose CT (LDCT).  ...  To alleviate this problem, in this paper, a shift-invariant property based neural network was devised to learn the inherent pixel correlations and also the noise distribution by only using the LDCT images  ...  Because there is no normal dose CT available, the denoised images are visually compared in terms of noise removal and structure preservation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.00327v2">arXiv:2006.00327v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tw2whydzfrhwrms6iacqntfa2y">fatcat:tw2whydzfrhwrms6iacqntfa2y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200908090505/https://arxiv.org/ftp/arxiv/papers/2006/2006.00327.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/72/09/7209c514194b0aa5ee0562807702b98f096fcf03.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.00327v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning [article]

Bo Zhou, Yu-Jung Tsai, Chi Liu
<span title="2020-09-14">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To tackle these issues, we first propose a Siamese adversarial network (SAN) that can efficiently recover high dose gated image volume from low dose gated image volume.  ...  Comprehensive evaluations on a low dose gated PET dataset of 29 subjects demonstrate that our method can effectively recover the low dose gated PET volumes, with an average PSNR of 37.16 and SSIM of 0.97  ...  More recently, non-local mean filter [3] and block-matching 4D filter [4] have been proposed to denoise low-dose PET while better preserving the structural information.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.06757v1">arXiv:2009.06757v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/crzcxw5yireszfpky6rkoxtoim">fatcat:crzcxw5yireszfpky6rkoxtoim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928043119/https://arxiv.org/pdf/2009.06757v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.06757v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Dual-energy Computed Tomography Imaging from Contrast-enhanced Single-energy Computed Tomography [article]

Wei Zhao, Tianling Lyu, Yang Chen, Lei Xing
<span title="2020-10-25">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This study demonstrates that highly accurate DECT imaging with single low-energy data is achievable by using a deep learning approach.  ...  The proposed method allows us to obtain high-quality DECT images without paying the overhead of conventional hardware-based DECT solutions and thus leads to a new paradigm of spectral CT imaging.  ...  The denoising FCN model was trained using paired low-and high-dose CT dataset obtained from the American Association of Physicists in Medicine (AAPM) Low-Dose CT Grand Challenge (https://www.aapm.org/GrandChallenge  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.13253v1">arXiv:2010.13253v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mdd7ucx5bvgmzbc7ahiqakdsu4">fatcat:mdd7ucx5bvgmzbc7ahiqakdsu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201029064604/https://arxiv.org/pdf/2010.13253v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d2/ce/d2ce00f3185f6a55fc535cd2563b5d2a167a5071.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.13253v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Methods for Clinical Evaluation of Noise Reduction Techniques in Abdominopelvic CT

Eric C. Ehman, Lifeng Yu, Armando Manduca, Amy K. Hara, Maria M. Shiung, Dayna Jondal, David S. Lake, Robert G. Paden, Daniel J. Blezek, Michael R. Bruesewitz, Cynthia H. McCollough, David M. Hough (+1 others)
<span title="">2014</span> <i title="Radiological Society of North America (RSNA)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7rlrv325vvgfzaztn3mx73wcwe" style="color: black;">Radiographics</a> </i> &nbsp;
Existing noise reduction strategies for dose reduction have a substantial impact on lowering the radiation dose at CT.  ...  Detectability of low-contrast lesions can be evaluated subjectively at varying dose levels using phantoms containing low-contrast objects.  ...  of these tasks), and predicting the lowest dose that will allow adequate performance on specific CT systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1148/rg.344135128">doi:10.1148/rg.344135128</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25019428">pmid:25019428</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mvutesr3lbgz3ksutztkutsfpa">fatcat:mvutesr3lbgz3ksutztkutsfpa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160408141703/http://pubs.rsna.org:80/doi/pdf/10.1148/rg.344135128" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/37/8e/378edf5813bec28ce427771750b7d1681c881397.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1148/rg.344135128"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Eformer: Edge Enhancement based Transformer for Medical Image Denoising [article]

Achleshwar Luthra, Harsh Sulakhe, Tanish Mittal, Abhishek Iyer, Santosh Yadav
<span title="2021-11-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we present Eformer - Edge enhancement based transformer, a novel architecture that builds an encoder-decoder network using transformer blocks for medical image denoising.  ...  To defend the effectiveness of our approach, our model is evaluated on the AAPM-Mayo Clinic Low-Dose CT Grand Challenge Dataset and achieves state-of-the-art performance, i.e., 43.487 PSNR, 0.0067 RMSE  ...  We propose a method to help preserve the details and reduce the noise generated from low dose scans so they may become a viable solution in place of high dose scans.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.08044v2">arXiv:2109.08044v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qnesxq7jrff7pafjqyq6phqm6i">fatcat:qnesxq7jrff7pafjqyq6phqm6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210921105020/https://arxiv.org/pdf/2109.08044v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a2/4d/a24dbd864caf439617baa13500d9915852cc970f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.08044v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

200x Low-dose PET Reconstruction using Deep Learning [article]

Junshen Xu, Enhao Gong, John Pauly, Greg Zaharchuk
<span title="2017-12-12">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Multi-slice input strategy is introduced to provide the network with more structural information and make it more robust to noise.  ...  Experiments shows the proposed method can reconstruct low-dose PET image to a standard-dose quality with only two-hundredth dose. Different cost functions for training model are explored.  ...  Instead of denoise the low-dose PET image directly, machine learning methods utilize paired low-dose and standard-dose images to train models that can predicts standard-dose images from low-dose inputs  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1712.04119v1">arXiv:1712.04119v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/75lbb2bqe5g4tl66n7rj6qxta4">fatcat:75lbb2bqe5g4tl66n7rj6qxta4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200927190736/https://arxiv.org/pdf/1712.04119v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/29/4d/294d269f3836b223e8cebfc767083026e40ab912.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1712.04119v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Image Restoration for Low-dose CT via Transfer Learning and Residual Network

Anni Zhong, Bin Li, Ning Luo, Yuan Xu, Linghong Zhou, Xin Zhen
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Deep learning has recently been extensively investigated to remove artifacts in low-dose computed tomography (LDCT).  ...  A residual network was implemented to effectively estimate the difference between denoised image and its original map, and a noisefree image was obtained by subtracting the residual map from the LDCT image  ...  Parameter c i is the number of convolutional kernels in the previous convolutional layer, equal to n i−1 . 3) RESIDUE PREDICTION The final layer of our network was a single convolution layer to predict  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3002534">doi:10.1109/access.2020.3002534</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eeudji6wyzhx3mqgmctkv3ktsm">fatcat:eeudji6wyzhx3mqgmctkv3ktsm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429114948/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09117103.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6b/67/6b67a79a294a73fc0dd5328ea1017d94a104920a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3002534"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

The Use of Artificial Intelligence in Computed Tomography Image Reconstruction: A Systematic Review

Theresa Lee, Medical Radiation Imaging and Radiation Sciences, Monash University, Melbourne, Australia, Euclid Seeram, Medical Radiation Imaging and Radiation Sciences, Monash University, Melbourne, Australia
<span title="2020-12-31">2020</span> <i title="Openventio Publishers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rboaa3v33bdejlfd5ksdnhtcfq" style="color: black;">Radiology - Open Journal</a> </i> &nbsp;
Aim The aim of this review is to examine the use of AI in CT image reconstruction and its effectiveness in enabling further dose reductions through improvements in image quality of low-dose CT images.  ...  Current image reconstruction techniques in computed tomography (CT) such as filtered back-projection (FBP) and iterative reconstruction (IR) have limited use in low-dose CT imaging due to poor image quality  ...  the residual encoder-decoder convolutional neural network (RED-CNN) for low-dose CT imaging Chen et al 36 2017 Noise suppression Artefact reduction Structure preservation Deep CNN to map low-dose  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17140/roj-4-129">doi:10.17140/roj-4-129</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/57gyl7nogvcgbazxm7uo7w2b6a">fatcat:57gyl7nogvcgbazxm7uo7w2b6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210122112533/https://openventio.org/wp-content/uploads/The-Use-of-Artificial-Intelligence-in-Computed-Tomography-Image-Reconstruction-A-Systematic-Review-ROJ-4-129.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5d/e7/5de7f63847c5c1d7c7213dead2a696f13aa3fbd0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17140/roj-4-129"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A deep learning approach for virtual monochromatic spectral CT imaging with a standard single energy CT scanner [article]

Wei Zhao, Tianling Lyu, Yang Chen, Lei Xing
<span title="2020-05-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Purpose/Objectives: To develop and assess a strategy of using deep learning (DL) to generate virtual monochromatic CT (VMCT) images from a single-energy CT (SECT) scan.  ...  the corresponding high-energy CT image from a low-energy image; and (ii) reconstructing VMCT images with energy ranging from 40 to 150 keV.  ...  To train the denoising network, we regarded the quarter-dose images as orginal CT images and the full-dose images as noise reduced CT images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.09859v1">arXiv:2005.09859v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vrv5jvl4kbhjzifvotnhix3lm4">fatcat:vrv5jvl4kbhjzifvotnhix3lm4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200522001949/https://arxiv.org/pdf/2005.09859v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.09859v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion

Yao Xiao, Peng Liu, Yun Liang, Skylar Stolte, Pina Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang
<span title="2019-06-26">2019</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4kchoxo3jrfubkck3y7nfncina" style="color: black;">Frontiers in Neurology</a> </i> &nbsp;
Thus, it is critical for us to seek a solution that can preserve the image quality when the tube current and the temporal frequency are both low.  ...  We propose STIR-Net in this paper, an end-to-end spatial-temporal convolutional neural network structure, which exploits multi-directional automatic feature extraction and image reconstruction schema to  ...  Obtaining a comprehensive visualization of blood flow dynamics and a clear brain anatomic structure requires contrast dose injection and repeated CT scanning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fneur.2019.00647">doi:10.3389/fneur.2019.00647</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31297079">pmid:31297079</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6607281/">pmcid:PMC6607281</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j2s3zag7izes5ibgve7orb43cq">fatcat:j2s3zag7izes5ibgve7orb43cq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213034251/https://fjfsdata01prod.blob.core.windows.net/articles/files/404771/pubmed-zip/.versions/1/.package-entries/fneur-10-00647/fneur-10-00647.pdf?sv=2015-12-11&amp;sr=b&amp;sig=VBadNgEkng4DquoVIMuuWeCHnwPw8SIVoSBv0sCu4rM%3D&amp;se=2020-02-13T03%3A43%3A21Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fneur-10-00647.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d6/ac/d6ac5e1e31e9e34dcfdca39fb17238f3587a7143.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fneur.2019.00647"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607281" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 285 results