Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi

X Zhang, G Zhang, L Xu, X Bai, J Zhang, M Xu… - … into Imaging, 2022 - Springer
… , image quality, and radiation dose of abdominal ultra-low-… decreased to sub-millisievert
ultra-low doses, the detection rate … when sub-millisievert scans are performed on the chest and …

The future of CT: deep learning reconstruction

CM McLeavy, MH Chunara, RJ Gravell, A Rauf… - Clinical radiology, 2021 - Elsevier
… high image quality, low radiation dose, and fast reconstructiondetector scanner took over
5 minutes to acquire that first CT … diagnostic information than chest radiographs; however, the …

A prospective evaluation of dose reduction and image quality in chest CT using adaptive statistical iterative reconstruction

J Leipsic, G Nguyen, J Brown, D Sin… - American Journal of …, 2010 - Am Roentgen Ray Soc
… [12] found that iterative reconstruction abdominal CT scans had acceptable image quality
at … Although the two detector technologies have comparable counting efficiency, our …

[HTML][HTML] Image texture, low contrast liver lesion detectability and impact on dose: Deep learning algorithm compared to partial model-based iterative reconstruction

D Racine, HG Brat, B Dufour, JM Steity… - European Journal of …, 2021 - Elsevier
… human performance include the detection of discs in white … b) abdomen phantom acquired
at 20 mGy and reconstructed … study the image quality in the other two reconstruction planes…

Effect of deep learning image reconstruction in the prediction of resectability of pancreatic cancer: diagnostic performance and reader confidence

P Lyu, B Neely, J Solomon, F Rigiroli, Y Ding… - European journal of …, 2021 - Elsevier
… , multidetector detector computed tomography (MDCT) imaging-… CT images with improved
lesion conspicuity compared to FBP … image quality in the thin-section abdominal CT images by …

Validation of deep-learning image reconstruction for coronary computed tomography angiography: impact on noise, image quality and diagnostic accuracy

DC Benz, G Benetos, G Rampidis, E Von Felten… - … computed tomography, 2020 - Elsevier
lesions in the same segment, the most obstructive lesion was … performance to detect a stenosis
by CCTA reconstructed with … modelling increase specificity of submillisievert CCTA, 5 the …

Improving image quality and reducing radiation dose for pediatric CT by using deep learning reconstruction

SL Brady, AT Trout, E Somasundaram, CG Anton, Y Li… - Radiology, 2021 - pubs.rsna.org
… enhanced pediatric chest-abdomen-pelvis CT examinations … lesion detectability on
submillisievert chest CT images with … potential to improve image quality, object detection accuracy, …

A review of deep learning CT reconstruction: concepts, limitations, and promise in clinical practice

TP Szczykutowicz, GV Toia, A Dhanantwari… - Current Radiology …, 2022 - Springer
image quality and preserved liver metastases detection measuring > 0.5 cm compared to
benchmark exposures (lesion … of image quality like artifact mitigation and spatial resolution

Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease

R Zhao, X Sui, R Qin, H Du, L Song, D Tian, J Wang… - European …, 2022 - Springer
… • Deep learning reconstruction method could effectively … one was to improve CT hardware
to get better detector-efficacy, … image quality in submillisievert chest and abdominal CT, CTPA, …

… of standard-and low-dose chest CT using filtered back projection, adaptive statistical iterative reconstruction, and novel model-based iterative reconstruction …

V Vardhanabhuti, RJ Loader… - American Journal of …, 2013 - Am Roentgen Ray Soc
… for subjective image quality and lesion assessment was … source (anode) and the
detector response function, we can better … Even when we scanned at the lowest doses (submillisievert