Kevin Kalisz1, Negin Rassouli2, Amar Dhanantwari3, David Jordan4, Prabhakar Rajiah5. 1. Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States. Electronic address: Kevin.Kalisz@uhhospitals.org. 2. Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States. Electronic address: Negin_rassouli@yahoo.com. 3. Philips Healthcare, Cleveland, OH, United States. Electronic address: Amar.dhanantwari@philips.com. 4. Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States. Electronic address: David.Jordan@uhhospitals.org. 5. Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States; Cardiothoracic Imaging, Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States. Electronic address: Prabhakar.Rajiah@utsouthwestern.edu.
Abstract
AIM: To evaluate the noise characteristics of virtual monoenergetic images (VMI) obtained from a recently introduced dual-layer detector-based spectral CT (SDCT), both in a phantom and patients. MATERIALS AND METHODS: A cylindrical Catphan® 600 phantom (The Phantom Library, Salem NY, USA) was scanned using the SDCT. Image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured in VMI from 40 to 200keV as well as conventional 120 kVp images. One hundred consecutive patients who had an abdominal CT on the SDCT were then recruited in the study. Noise, SNR and CNR were measured in the liver, pancreas, spleen, kidney, abdominal aorta, portal vein, muscle, bone, and fat, both in VMI (40-200 keV) and conventional 120kVp images. Qualitative image analysis was performed by an independent reader for vascular enhancement and image quality on a 5 point scale (1-worst, 5-best). RESULTS: On phantom studies, noise was low at all energies of VMI. Noise was highest at 40keV (5.3±0.2 HU), gradually decreased up to 70keV (3.6±0.2 HU), after which it remained constant up to 200keV (3.5±0.2 HU). In the patient cohort, noise was low (<25 HU) at all the energy levels of VMI for all the regions, with the exception of bone. For example, noise in the liver was highest at 40keV (13.2±4.6 HU), steadily decreased up to 70keV (12.0±4.4 HU) and then remained constantly low up to 200keV (11.6±4.3HU). For liver, pancreas, portal vein, aorta, muscle and fat, noise at all levels of VMI was lower than of conventional images (p<0.01). For all organs, SNR, and CNR were highest at 40keV (6.8-34.9; 18.3-44.9, respectively) after which they gradually decreased up to 120keV (3.4-6.5; 9.5-13.0) and then remained constant to 200keV (2.6-5.5; 8.5-12.5). Qualitative scores of VMI up to 70keV were significantly higher than the conventional images (p≤0.01), whereas for VMI≥80keV, they were lower than conventional images (p<0.001). CONCLUSION: VMI obtained from the novel SDCT scanner have low noise across the entire spectrum of energies. There are significant SNR and CNR improvements compared to conventional 120 kVp images.
AIM: To evaluate the noise characteristics of virtual monoenergetic images (VMI) obtained from a recently introduced dual-layer detector-based spectral CT (SDCT), both in a phantom and patients. MATERIALS AND METHODS: A cylindrical Catphan® 600 phantom (The Phantom Library, Salem NY, USA) was scanned using the SDCT. Image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured in VMI from 40 to 200keV as well as conventional 120 kVp images. One hundred consecutive patients who had an abdominal CT on the SDCT were then recruited in the study. Noise, SNR and CNR were measured in the liver, pancreas, spleen, kidney, abdominal aorta, portal vein, muscle, bone, and fat, both in VMI (40-200 keV) and conventional 120kVp images. Qualitative image analysis was performed by an independent reader for vascular enhancement and image quality on a 5 point scale (1-worst, 5-best). RESULTS: On phantom studies, noise was low at all energies of VMI. Noise was highest at 40keV (5.3±0.2 HU), gradually decreased up to 70keV (3.6±0.2 HU), after which it remained constant up to 200keV (3.5±0.2 HU). In the patient cohort, noise was low (<25 HU) at all the energy levels of VMI for all the regions, with the exception of bone. For example, noise in the liver was highest at 40keV (13.2±4.6 HU), steadily decreased up to 70keV (12.0±4.4 HU) and then remained constantly low up to 200keV (11.6±4.3HU). For liver, pancreas, portal vein, aorta, muscle and fat, noise at all levels of VMI was lower than of conventional images (p<0.01). For all organs, SNR, and CNR were highest at 40keV (6.8-34.9; 18.3-44.9, respectively) after which they gradually decreased up to 120keV (3.4-6.5; 9.5-13.0) and then remained constant to 200keV (2.6-5.5; 8.5-12.5). Qualitative scores of VMI up to 70keV were significantly higher than the conventional images (p≤0.01), whereas for VMI≥80keV, they were lower than conventional images (p<0.001). CONCLUSION: VMI obtained from the novel SDCT scanner have low noise across the entire spectrum of energies. There are significant SNR and CNR improvements compared to conventional 120 kVp images.
Authors: Hao Gong; Jeffrey F Marsh; Karen N D'Souza; Nathan R Huber; Kishore Rajendran; Joel G Fletcher; Cynthia H McCollough; Shuai Leng Journal: J Med Imaging (Bellingham) Date: 2021-04-19
Authors: Markus M Obmann; Gopal Punjabi; Verena C Obmann; Daniel T Boll; Tobias Heye; Matthias R Benz; Benjamin M Yeh Journal: Abdom Radiol (NY) Date: 2021-06-30