Image quality improvements using adaptive statistical iterative reconstruction for evaluating chronic myocardial infarction using iodine density images with spectral CT
- Resource Type
- Authors
- Shinichiro Kitao; Yasutoshi Ohta; Toshihide Ogawa; Junichi Kishimoto; Tomomi Watanabe
- Source
- The international journal of cardiovascular imaging. 34(4)
- Subject
- Adult
Male
medicine.medical_specialty
Image quality
Myocardial Infarction
Infarction
chemistry.chemical_element
Contrast Media
Iterative reconstruction
030204 cardiovascular system & hematology
Iodine
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Predictive Value of Tests
Multidetector Computed Tomography
medicine
Image noise
Humans
Radiology, Nuclear Medicine and imaging
Cardiac imaging
Aged
Retrospective Studies
Chronic myocardial infarction
Models, Statistical
business.industry
Reproducibility of Results
Middle Aged
medicine.disease
Magnetic Resonance Imaging
Intensity (physics)
Iopamidol
chemistry
Chronic Disease
cardiovascular system
Radiographic Image Interpretation, Computer-Assisted
Female
Radiology
Cardiology and Cardiovascular Medicine
business
Nuclear medicine
- Language
- ISSN
- 1875-8312
Single-source dual-energy CT (ssDECT) allows the reconstruction of iodine density images (IDIs) from projection based computing. We hypothesized that adding adaptive statistical iterative reconstruction (ASiR) could improve image quality. The aim of our study was to evaluate the effect and determine the optimal blend percentages of ASiR for IDI of myocardial late iodine enhancement (LIE) in the evaluation of chronic myocardial infarction using ssDECT. A total of 28 patients underwent cardiac LIE using a ssDECT scanner. IDIs between 0 and 100% of ASiR contributions in 10% increments were reconstructed. The signal-to-noise ratio (SNR) of remote myocardia and the contrast-to-noise ratio (CNR) of infarcted myocardia were measured. Transmural extent of infarction was graded using a 5-point scale. The SNR, CNR, and transmural extent were assessed for each ASiR contribution ratio. The transmural extents were compared with MRI as a reference standard. Compared to 0% ASiR, the use of 20–100% ASiR resulted in a reduction of image noise (p