Artifact of a Cardiac Pacemaker on Low Dose Chest CT

2020 ◽  
Vol 22 (1) ◽  
pp. 9-14
Author(s):  
Jun-Hyub Lee ◽  
Sun-young Kang
Keyword(s):  
Low Dose ◽  
CHEST Journal ◽  
2018 ◽  
Vol 154 (4) ◽  
pp. 576A
Author(s):  
JINCEY SRIRAM ◽  
IRMA VAN DE BEEK ◽  
PAUL JOHANNESMA ◽  
MICHIEL VAN WERKUM ◽  
TIJMEN VAN DER WEL ◽  
...  

2019 ◽  
Vol 100 (2) ◽  
pp. 85-93 ◽  
Author(s):  
C. Ludes ◽  
A. Labani ◽  
F. Severac ◽  
M.Y. Jeung ◽  
P. Leyendecker ◽  
...  

Author(s):  
Michael Esser ◽  
Sabine Hess ◽  
Matthias Teufel ◽  
Mareen Kraus ◽  
Sven Schneeweiß ◽  
...  

Purpose To analyze possible influencing factors on radiation exposure in pediatric chest CT using different approaches for radiation dose optimization and to determine major indicators for dose development. Materials and Methods In this retrospective study at a clinic with maximum care facilities including pediatric radiology, 1695 chest CT examinations in 768 patients (median age: 10 years; range: 2 days to 17.9 years) were analyzed. Volume CT dose indices, effective dose, size-specific dose estimate, automatic dose modulation (AEC), and high-pitch protocols (pitch ≥ 3.0) were evaluated by univariate analysis. The image quality of low-dose examinations was compared to higher dose protocols by non-inferiority testing. Results Median dose-specific values annually decreased by an average of 12 %. High-pitch mode (n = 414) resulted in lower dose parameters (p < 0.001). In unenhanced CT, AEC delivered higher dose values compared to scans with fixed parameters (p < 0.001). In contrast-enhanced CT, the use of AEC yielded a significantly lower radiation dose only in patients older than 16 years (p = 0.04). In the age group 6 to 15 years, the values were higher (p < 0.001). The diagnostic image quality of low-dose scans was non-inferior to high-dose scans (2.18 vs. 2.14). Conclusion Radiation dose of chest CT was reduced without loss of image quality in the last decade. High-pitch scanning was an independent factor in this context. Dose reduction by AEC was limited and only relevant for patients over 16 years. Key Points Citation Format


Author(s):  
P. Tamijiselvy ◽  
N. Kavitha ◽  
K. M. Keerthana ◽  
D. Menakha

The degree of aortic calcification has been appeared to be a risk pointer for vascular occasions including cardiovascular events. The created strategy is fully automated data mining algorithm to segment and measure calcification using Low-dose Chest CT in smokers of age 50 to 70 .The identification of subjects with increased cardiovascular risk can be detected by using data mining algorithms. This paper presents a method for automatic detection of coronary artery calcifications in low-dose chest CT scans using effective clustering algorithms with three phases as Pre-Processing, Segmentation and clustering. Fuzzy C Means algorithm provides accuracy of 80.23% demonstrate that Fuzzy C means detects the Cardio Vascular Disease at early stage.


2014 ◽  
Vol 24 (4) ◽  
pp. 817-826 ◽  
Author(s):  
So Won Lee ◽  
Yookyung Kim ◽  
Sung Shine Shim ◽  
Jeong Kyong Lee ◽  
Seok Jeong Lee ◽  
...  

2018 ◽  
Vol 211 (3) ◽  
pp. 548-556 ◽  
Author(s):  
Cameron Hassani ◽  
Anthony Ronco ◽  
Ashley E. Prosper ◽  
Sumudu Dissanayake ◽  
Steven Y. Cen ◽  
...  

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