Quantitative Measurements Versus Receiver Operating Characteristics and Visual Grading Regression in CT Images Reconstructed with Iterative Reconstruction
Autor: | Bjørn Helge Østerås, Kristin Jensen, Erik Fosse, Örjan Smedby, Hilde Kjernlie Andersen, Anne Catrine Trægde Martinsen, Anders Tingberg, Anette Aarsnes |
---|---|
Rok vydání: | 2018 |
Předmět: |
Image quality
media_common.quotation_subject Iterative reconstruction Signal-To-Noise Ratio Radiation Dosage Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Image Processing Computer-Assisted Humans Idose Contrast (vision) Radiology Nuclear Medicine and imaging Computer vision media_common Receiver operating characteristic Radon transform Phantoms Imaging business.industry Liver ROC Curve Signal-to-noise ratio (imaging) chemistry 030220 oncology & carcinogenesis Radiographic Image Interpretation Computer-Assisted Artificial intelligence Artifacts Tomography X-Ray Computed business Nuclear medicine Algorithms |
Zdroj: | Academic Radiology. 25:509-518 |
ISSN: | 1076-6332 |
DOI: | 10.1016/j.acra.2017.10.020 |
Popis: | Rationale and Objectives This study aimed to evaluate the correlation of quantitative measurements with visual grading regression (VGR) and receiver operating characteristics (ROC) analysis in computed tomography (CT) images reconstructed with iterative reconstruction. Materials and Methods CT scans on a liver phantom were performed on CT scanners from GE, Philips, and Toshiba at three dose levels. Images were reconstructed with filtered back projection (FBP) and hybrid iterative techniques (ASiR, iDose, and AIDR 3D of different strengths). Images were visually assessed by five readers using a four- and five-grade ordinal scale for liver low contrast lesions and for 10 image quality criteria. The results were analyzed with ROC and VGR. Standard deviation, signal-to-noise ratios, and contrast-to-noise ratios were measured in the images. Results All data were compared to FBP. The results of the quantitative measurements were improved for all algorithms. ROC analysis showed improved lesion detection with ASiR and AIDR and decreased lesion detection with iDose. VGR found improved noise properties for all algorithms, increased sharpness with iDose and AIDR, and decreased artifacts from the spine with AIDR, whereas iDose increased the artifacts from the spine. The contrast in the spine decreased with ASiR and iDose. Conclusions Improved quantitative measurements in images reconstructed with iterative reconstruction compared to FBP are not equivalent to improved diagnostic image accuracy. |
Databáze: | OpenAIRE |
Externí odkaz: |