scholarly journals Improvement of Image Quality in the Axial Section Using High-resolution Scan Mode and Hybrid Iterative Reconstruction in Ultra-high-resolution Computed Tomography

2018 ◽  
Vol 74 (12) ◽  
pp. 1419-1427
Author(s):  
Yuki Sakai ◽  
Takashi Shirasaka ◽  
Masatoshi Kondo ◽  
Hiroshi Hamasaki ◽  
Ryoji Mikayama ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Image Quality ◽  
Iterative Reconstruction ◽  
High Resolution Computed Tomography ◽  
Axial Section ◽  
Hybrid Iterative Reconstruction

Noise reduction and image quality in ultra-high resolution computed tomography of the temporal bone using advanced modeled iterative reconstruction

2019 ◽  
Vol 60 (9) ◽  
pp. 1135-1143 ◽  
Author(s):  
Johann-Martin Hempel ◽  
Malte Niklas Bongers ◽  
Katharina Braun ◽  
Ulrike Ernemann ◽  
Georg Bier
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Image Quality ◽  
Noise Reduction ◽  
Temporal Bone ◽  
Iterative Reconstruction ◽  
High Resolution Computed Tomography

High-Resolution Computed Tomography Examinations for Chronic Suppurative Lung Disease in Early Childhood: Radiation Exposure and Image Quality Evaluations with Iterative Reconstruction Algorithm Use

2016 ◽  
Vol 67 (3) ◽  
pp. 218-224 ◽  
Author(s):  
Magdalini Smarda ◽  
Efstathios Efstathopoulos ◽  
Argyro Mazioti ◽  
Sofia Kordolaimi ◽  
Agapi Ploussi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Image Quality ◽  
Radiation Exposure ◽  
Iterative Reconstruction ◽  
Reconstruction Algorithm ◽  
Filtered Backprojection ◽  
Reconstruction Algorithms ◽  
High Resolution Computed Tomography ◽  
Iterative Reconstruction Algorithm

Purpose High radiosensitivity of children undergoing repetitive computed tomography examinations necessitates the use of iterative reconstruction algorithms in order to achieve a significant radiation dose reduction. The goal of this study is to compare the iDose iterative reconstruction algorithm with filtered backprojection in terms of radiation exposure and image quality in 33 chest high-resolution computed tomography examinations performed in young children with chronic bronchitis. Methods Fourteen patients were scanned using the filtered backprojection protocol while 19 patients using the iDose protocol and reduced milliampere-seconds, both on a 64-detector row computed tomography scanner. The iDose group images were reconstructed with different iDose levels (2, 4, and 6). Radiation exposure quantities were estimated, while subjective and objective image qualities were evaluated. Unpaired t tests were used for data statistical analysis. Results The iDose application allowed significant effective dose reduction (about 80%). Subjective image quality evaluation showed satisfactory results even with iDose level 2, whereas it approached excellent image with iDose level 6. Subjective image noise was comparable between the 2 groups with the use of iDose level 4, while objective noise was comparable between filtered backprojection and iterative reconstruction level 6 images. Conclusions The iDose algorithm use in pediatric chest high-resolution computed tomography reduces radiation exposure without compromising image quality. Further evaluation with iterative reconstruction algorithms is needed in order to establish high-resolution computed tomography as the gold standard low-dose method for children suffering from chronic lung diseases.

scholarly journals Correction: Ultra-High-Resolution Computed Tomography of the Lung: Image Quality of a Prototype Scanner

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0145357
Author(s):  
Ryutaro Kakinuma ◽  
Noriyuki Moriyama ◽  
Yukio Muramatsu ◽  
Shiho Gomi ◽  
Masahiro Suzuki ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Image Quality ◽  
High Resolution Computed Tomography

Effect of Ultra High-Resolution Computed Tomography and Model-Based Iterative Reconstruction on Detectability of Simulated Submillimeter Artery

2020 ◽  
Vol 44 (1) ◽  
pp. 32-36 ◽  
Author(s):  
Hiroyuki Morisaka ◽  
Yuta Shimizu ◽  
Takuya Adachi ◽  
Keita Fukushima ◽  
Takahiro Arai ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Iterative Reconstruction ◽  
High Resolution Computed Tomography ◽  
Model Based

scholarly journals Reconstruction of High-Resolution Computed Tomography Image in Sinogram Space

2021 ◽  
Vol 15 ◽  
pp. 84-88
Author(s):  
Osama A. Omer
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Image Quality ◽  
Computational Cost ◽  
Super Resolution ◽  
Reconstruction Method ◽  
High Resolution Computed Tomography ◽  
Resolution Image ◽  
Reconstruction Methods

An important part of any computed tomography (CT) system is the reconstruction method, which transforms the measured data into images. Reconstruction methods for CT can be either analytical or iterative. The analytical methods can be exact, by exact projector inversion, or non-exact based on Back projection (BP). The BP methods are attractive because of thier simplicity and low computational cost. But they produce suboptimal images with respect to artifacts, resolution, and noise. This paper deals with improve of the image quality of BP by using super-resolution technique. Super-resolution can be beneficial in improving the image quality of many medical imaging systems without the need for significant hardware alternation. In this paper, we propose to reconstruct a high-resolution image from the measured signals in Sinogram space instead of reconstructing low-resolution images and then post-process these images to get higher resolution image.

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