1. Noise-optimized advanced image-based virtual monoenergetic imaging for improved visualization of lung cancer: Comparison with traditional virtual monoenergetic imaging
- Author
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Thomas Lehnert, Moritz H. Albrecht, Moritz Kaup, J. Matthias Kerl, Boris Bodelle, Thomas J. Vogl, Julian L. Wichmann, Claudia Frellesen, Jan-Erik Scholtz, Sarah C. Metzger, Kristina Hüsers, and Ralf W. Bauer
- Subjects
Adult ,Male ,Lung Neoplasms ,Image quality ,Signal-To-Noise Ratio ,030218 nuclear medicine & medical imaging ,Radiography, Dual-Energy Scanned Projection ,Background noise ,03 medical and health sciences ,0302 clinical medicine ,Image Processing, Computer-Assisted ,Image noise ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Lung cancer ,Lung ,Aged ,Retrospective Studies ,Aged, 80 and over ,business.industry ,Virtual monoenergetic imaging ,Reproducibility of Results ,General Medicine ,Middle Aged ,medicine.disease ,Visualization ,Noise ,030220 oncology & carcinogenesis ,Radiographic Image Interpretation, Computer-Assisted ,Female ,Tomography, X-Ray Computed ,business ,Nuclear medicine ,Algorithms ,Image based - Abstract
To assess the effect of a noise-optimized image-based virtual monoenergetic imaging (VMI+) algorithm in direct comparison with the traditional VMI technique and standard linearly-blended images emulating 120-kVp acquisition (M_0.3) on image quality at dual-energy CT in patients with lung cancer.Dual-source dual-energy CT examinations of 48 patients with biopsy-proven primary (n=31) or recurrent (n=20) lung cancer were evaluated. Images were reconstructed as M_0.3, and VMI+ and traditional VMI series at 40, 55, and 70keV. Attenuation of tumor, descending aorta, pulmonary trunk, latissimus muscle, and noise were measured. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Five-point scales were used by three observers to subjectively evaluate general image impression, tumor delineation, image sharpness, and image noise.Background noise was consistently lower with VMI+ compared to VMI at all keV levels (all p0.0001) and M_0.3 (all p≤0.0004). Tumor SNR and CNR peaked in the 40keV VMI+ series, significantly higher compared to all VMI and M_0.3 series (all p0.0008). Observers preferred the 55keV VMI+ series regarding general image impression and tumor delineation compared to all other series (all p0.0001). Image sharpness and image noise ratings were highest in the 55keV VMI+ and 70keV VMI and VMI+ reconstructions.Tumor CNR peaked at 40keV VMI+ while observers preferred 55keV VMI+ series overall other series for dual-energy CT of lung cancer. The noise-optimized VMI+ technique showed significantly lower background noise and higher SNR and CNR compared to the traditional VMI technique at matching keV levels.
- Published
- 2016