Subjective and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric human lungs

European Radiology
Masahiro YanagawaNoriyuki Tomiyama

Abstract

To compare the image quality of the lungs between ultra-high-resolution CT (U-HRCT) and conventional area detector CT (AD-CT) images. Image data of slit phantoms (0.35, 0.30, and 0.15 mm) and 11 cadaveric human lungs were acquired by both U-HRCT and AD-CT devices. U-HRCT images were obtained with three acquisition modes: normal mode (U-HRCTN: 896 channels, 0.5 mm × 80 rows; 512 matrix), super-high-resolution mode (U-HRCTSHR: 1792 channels, 0.25 mm × 160 rows; 1024 matrix), and volume mode (U-HRCTSHR-VOL: non-helical acquisition with U-HRCTSHR). AD-CT images were obtained with the same conditions as U-HRCTN. Three independent observers scored normal anatomical structures (vessels and bronchi), abnormal CT findings (faint nodules, solid nodules, ground-glass opacity, consolidation, emphysema, interlobular septal thickening, intralobular reticular opacities, bronchovascular bundle thickening, bronchiectasis, and honeycombing), noise, artifacts, and overall image quality on a 3-point scale (1 = worst, 2 = equal, 3 = best) compared with U-HRCTN. Noise values were calculated quantitatively. U-HRCT could depict a 0.15-mm slit. Both U-HRCTSHR and U-HRCTSHR-VOL significantly improved visualization of normal anatomical structures and abn...Continue Reading

References

Dec 1, 1985·Journal of Thoracic Imaging·D P NaidichS S Siegelman
Dec 1, 1973·The British Journal of Radiology·G N Hounsfield
Feb 9, 1999·Medical Physics·H Hu
Mar 29, 2003·European Radiology·Emmanuel CocheBaudouin Maldague
Nov 15, 2003·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Santiago E RossiH Page McAdams
Sep 8, 2007·Journal of Nuclear Medicine Technology·Lee W Goldman
May 16, 2008·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Aletta Ann FrazierJeffrey R Galvin
Jan 16, 2009·The International Journal of Cardiovascular Imaging·Gregory S HurlockTeruhito Mochizuki
Mar 4, 2009·The International Journal of Cardiovascular Imaging·Sang Il ChoiAlbert C Lardo
May 27, 2010·Radiology·Masahiro YanagawaMasayuki Kudo
Apr 10, 2014·Academic Radiology·Masahiro YanagawaNoriyuki Tomiyama
Apr 9, 2016·Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)·Takanori HaraShinji Niwa
Oct 31, 2017·Neuroradiology·Kunihiro YoshiokaYasuo Saito

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Citations

Dec 4, 2019·Journal of Computer Assisted Tomography·Yuko NakamuraKazuo Awai
Sep 7, 2019·Journal of Computer Assisted Tomography·Sujata M ShanbhagMarcus Y Chen
Jun 26, 2020·Skeletal Radiology·Charles LombardPedro Gondim Teixeira
Jan 29, 2019·Insights Into Imaging·Frederick J A MeijerMathias Prokop
Jan 17, 2021·Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)·Atsushi UrikuraMasahiro Endo
Oct 29, 2020·Physics in Medicine and Biology·Mats DanielssonMartin Sjölin
May 6, 2021·Japanese Journal of Radiology·Kazuya OgawaNoriyuki Tomiyama
Jun 24, 2021·Journal of Applied Clinical Medical Physics·Takashi ShirasakaAkihiro Nishie
Aug 24, 2021·Radiation Protection Dosimetry·Mohamed M AbuzaidD A Bradley

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Methods Mentioned

BETA
X-ray

Software Mentioned

VOL
MedCalc
SHR
AIDR3D

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