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Virtual monochromatic spectral imaging versus linearly blended dual-energy and single-energy imaging during CT-guided biopsy needle positioning: Optimization of keV settings and impact on image quality
- Source :
- PLoS ONE, PLoS ONE, Vol 15, Iss 2, p e0228578 (2020)
- Publication Year :
- 2020
- Publisher :
- Public Library of Science, 2020.
-
Abstract
- Objectives To compare image quality and metal artifact reduction between virtual monochromatic spectral imaging (VMSI), linearly blended dual-energy (DE) and single-energy (SE) images, each with and without dedicated iterative metal artifact reduction (iMAR) for CT-guided biopsy. Materials and methods A biopsy trocar was positioned in the liver of six pigs. DE (Sn140/100kVp) and SE (120kVp/200mAs) acquisitions were performed with equivalent dose. From dual-energy datasets DE Q30-3 images and VMSI between 40-180 keV in steps of 20 keV were generated. From SE datasets I30-3 images were reconstructed. All images were reconstructed with and without iMAR. Objective image quality was analyzed applying density measurements at standardized positions (e.g. trocar tip and liver parenchyma adjacent to the trocar tip) and semi-automated threshold based segmentation. Subjective image quality was performed using semi-quantitative scores. Analyses were performed by two observers. Results At the trocar tip quantitative image analysis revealed significant difference in CT numbers between reconstructions with iMAR compared to reconstructions without iMAR for VMSI at lower keV levels (80 and 100 keV; p = 0.03) and DE (p = 0.03). For liver parenchyma CT numbers were significantly higher in VMSI at high keV compared to low keV (p≤0.01). VMSI at high keV also showed higher CT numbers compared to DE and SE images, though not the level of statistical significance. The best signal-to-noise ratio for VMSI was at 80 keV and comparable to DE and SE. Noise was lowest at 80 keV and lower than in DE and SE. Subjective image quality was best with VMSI at 80 keV regardless of the application of iMAR. iMAR significantly improved image quality at levels of 140 keV and 160 keV. Interreader-agreement was good for quantitative and qualitative analysis. Conclusion iMAR improved image quality in all settings. VMSI with iMAR provided metal artifact reduction and better image quality at 80 keV and thus could improve the accurate positioning in CT-guided needle biopsy. In comparison, DE imaging did not improve image quality compared to SE.
- Subjects :
- Image quality
Swine
Biopsy
Image Processing
Signal-To-Noise Ratio
030218 nuclear medicine & medical imaging
Diagnostic Radiology
Radiography, Dual-Energy Scanned Projection
0302 clinical medicine
Medicine and Health Sciences
Image Processing, Computer-Assisted
Tomography
Physics
Observer Variation
Multidisciplinary
Radiology and Imaging
Applied Mathematics
Simulation and Modeling
Biopsy, Needle
medicine.vein
Liver
Physical Sciences
Inferior Vena Cava
Medicine
Engineering and Technology
Radiographic Image Interpretation, Computer-Assisted
Anatomy
Artifacts
Elementary Particles
Algorithms
Research Article
Image-Guided Biopsy
medicine.medical_specialty
Imaging Techniques
Science
Image processing
Surgical and Invasive Medical Procedures
Neuroimaging
Vena Cava, Inferior
Image Analysis
Research and Analysis Methods
Inferior vena cava
Veins
03 medical and health sciences
Diagnostic Medicine
Hounsfield scale
medicine
Animals
Particle Physics
Photons
Biology and Life Sciences
Spectral imaging
Computed Axial Tomography
Signal-to-noise ratio (imaging)
Signal Processing
Gastrointestinal Imaging
Cardiovascular Anatomy
Blood Vessels
Tomography, X-Ray Computed
030217 neurology & neurosurgery
Liver and Spleen Scan
Mathematics
Biomedical engineering
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 15
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....57bb02b6a78e89b0f7064859d982bd1f