scholarly journals Feasibility of low-dose CT with model-based iterative image reconstruction in follow-up of patients with testicular cancer

2016 ◽  
Vol 3 ◽  
pp. 38-45 ◽  
Author(s):  
Kevin P. Murphy ◽  
Lee Crush ◽  
Siobhan B. O’Neill ◽  
James Foody ◽  
Micheál Breen ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Testicular Cancer ◽  
Low Dose ◽  
Iterative Image Reconstruction ◽  
Low Dose Ct ◽  
Model Based

Evaluation of an iterative model-based CT reconstruction algorithm by intra-patient comparison of standard and ultra-low-dose examinations

2018 ◽  
Vol 59 (10) ◽  
pp. 1225-1231 ◽  
Author(s):  
Peter B Noël ◽  
Stephan Engels ◽  
Thomas Köhler ◽  
Daniela Muenzel ◽  
Daniela Franz ◽  
...  
Keyword(s):  
Radiation Dose ◽  
Dose Reduction ◽  
Low Dose ◽  
Standard Dose ◽  
Health Concern ◽  
Generation Model ◽  
Reconstruction Algorithms ◽  
Low Dose Ct ◽  
Model Based

Background The explosive growth of computer tomography (CT) has led to a growing public health concern about patient and population radiation dose. A recently introduced technique for dose reduction, which can be combined with tube-current modulation, over-beam reduction, and organ-specific dose reduction, is iterative reconstruction (IR). Purpose To evaluate the quality, at different radiation dose levels, of three reconstruction algorithms for diagnostics of patients with proven liver metastases under tumor follow-up. Material and Methods A total of 40 thorax–abdomen–pelvis CT examinations acquired from 20 patients in a tumor follow-up were included. All patients were imaged using the standard-dose and a specific low-dose CT protocol. Reconstructed slices were generated by using three different reconstruction algorithms: a classical filtered back projection (FBP); a first-generation iterative noise-reduction algorithm (iDose4); and a next generation model-based IR algorithm (IMR). Results The overall detection of liver lesions tended to be higher with the IMR algorithm than with FBP or iDose4. The IMR dataset at standard dose yielded the highest overall detectability, while the low-dose FBP dataset showed the lowest detectability. For the low-dose protocols, a significantly improved detectability of the liver lesion can be reported compared to FBP or iDose4 ( P = 0.01). The radiation dose decreased by an approximate factor of 5 between the standard-dose and the low-dose protocol. Conclusion The latest generation of IR algorithms significantly improved the diagnostic image quality and provided virtually noise-free images for ultra-low-dose CT imaging.

scholarly journals Optimization of SPECT-CT Hybrid Imaging Using Iterative Image Reconstruction for Low-Dose CT: A Phantom Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0138658 ◽  
Author(s):  
Oliver S. Grosser ◽  
Dennis Kupitz ◽  
Juri Ruf ◽  
Damian Czuczwara ◽  
Ingo G. Steffen ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Hybrid Imaging ◽  
Phantom Study ◽  
Iterative Image Reconstruction ◽  
Low Dose Ct

Diagnostic Usage of Low Dose CT in Solitary Pulmonary Nodule Follow Up in Daily Practice

2017 ◽  
Vol 13 (4) ◽  
Author(s):  
Mehmet Ali Ikidag ◽  
Meral Uyar ◽  
Nevhiz Gundogdu ◽  
Mehmet Ali Cuce ◽  
Maruf Sanli ◽  
...  
Keyword(s):  
Pulmonary Nodule ◽  
Low Dose ◽  
Solitary Pulmonary Nodule ◽  
Daily Practice ◽  
Low Dose Ct

Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT

2014 ◽  
Vol 24 (6) ◽  
pp. 1239-1250 ◽  
Author(s):  
SayedMasoud Hashemi ◽  
Hatem Mehrez ◽  
Richard S. C. Cobbold ◽  
Narinder S. Paul
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Pulmonary Nodules ◽  
Low Dose Ct ◽  
Small Pulmonary Nodules

scholarly journals Low-dose CT scan screening for lung cancer: comparison of images and radiation doses between low-dose CT and follow-up standard diagnostic CT

SpringerPlus ◽  
2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Koji Ono ◽  
Toru Hiraoka ◽  
Asami Ono ◽  
Eiji Komatsu ◽  
Takehiko Shigenaga ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Ct Scan ◽  
Low Dose ◽  
Radiation Doses ◽  
Low Dose Ct ◽  
Diagnostic Ct

scholarly journals Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

2019 ◽  
Vol 1 (6) ◽  
pp. 269-276 ◽  
Author(s):  
Hongming Shan ◽  
Atul Padole ◽  
Fatemeh Homayounieh ◽  
Uwe Kruger ◽  
Ruhani Doda Khera ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Reconstruction ◽  
Deep Neural Network ◽  
Low Dose ◽  
Ct Image ◽  
Competitive Performance ◽  
Low Dose Ct ◽  
Ct Image Reconstruction

Hybrid and Model‐Based Iterative Reconstruction Influences the Volumetry of Visceral and Subcutaneous Adipose Tissue on Ultra‐Low‐Dose CT

Obesity ◽  
2020 ◽  
Vol 28 (11) ◽  
pp. 2083-2089
Author(s):  
Lukas Lambert ◽  
Matej Novak ◽  
Michaela Siklova ◽  
Eva Krauzova ◽  
Vladimir Stich ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Iterative Reconstruction ◽  
Subcutaneous Adipose Tissue ◽  
Low Dose ◽  
Low Dose Ct ◽  
Model Based ◽  
Subcutaneous Adipose
Sign in / Sign up

Export Citation Format

Share Document