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Keywords:
Thorax, Computer applications, Radioprotection / Radiation dose, CT, Comparative studies, Computer Applications-Detection, diagnosis, Technology assessment, Image registration, Image verification
Authors:
M. Ohana1, A. Labani1, M.-Y. Jeung1, C. Ludes1, C. Roy1, C. Collet2, F. Heitz2, F. Rousseau2, V. Noblet2; 1Strasbourg/FR, 2Illkirch/FR
DOI:
10.1594/ecr2016/C-2126
Aims and objectives
Ultra Low Dose chest CT (ULD-CT) is an unenhanced CT examination acquired at a radiation dose lowered to that of a PA and lateral chest x-ray,
i.e. a DLP < 20mGy.cm / Effective Dose <0.3mSv.
Its image quality is degraded,
yet remains diagnostic in many clinical scenarios,
with a rapidly growing interest in the literature.
Established indications of ULD-CT are therefore increasing,
and its non-inferiority compared to the reference “full dose” chest CT is currently demonstrated for:
- the detection of solid nodules
- the screening of asbestos-related diseases
- the monitoring of infectious pneumonia.
Technological improvements,
with iterative reconstruction (IR) at the foreground,
allowed a strong increase in the image quality obtained with this examination,
leading to results that would have been inconceivable 10 years ago (Fig. 1).
However,
and as impressive as it is,
its current image quality is still insufficient in various pathologies (such as interstitial lung diseases) or for certain morphotypes (such as patients with BMI>30),
and improvement is crucial to allow a wider use of the technique.
Newest IR methods (table below) with advanced modeling of the acquisition process do enhance the image quality,
but are not specifically optimized for ULD-CT.
|
GE |
Siemens |
Philips |
Toshiba |
Current IR Algorithm |
ASIR |
SAFIRE |
iDOSE |
AIDR3D |
Advanced newest IR Algorithm |
Veo |
ADMIRE |
IMR |
FIRST |
We hypothesize that the use of an advanced image-domain denoising process will allow a significant quantitative and qualitative increase in the image quality of ULD-CT.
The goal of this study is therefore to evaluate its effect on 25 normal ULD-CT examinations.