Model-based iterative reconstruction versus adaptive statistical iterative reconstruction in low-dose abdominal CT
Diomidis Botsikas1, Salvatore Stefanelli, Sana Boudabbous
11 All authors: Department of Imaging and Medical Information Sciences, Division of Radiology, Geneva University Hospital, Rue Gabrielle-Perret-Gentil 4, 1211 Genève 4, Switzerland.
Model-based iterative reconstruction (MBIR) significantly improves ureteral definition on low-dose abdominal CT for urolithiasis detection compared to adaptive statistical iterative reconstruction (ASIR). However, MBIR tends to overestimate stone size and density.
Area of Science:
- Medical Imaging
- Radiology
- Image Reconstruction
Background:
- Low-dose abdominal CT is crucial for detecting urolithiasis.
- Iterative reconstruction techniques aim to improve image quality while reducing radiation dose.
- Adaptive statistical iterative reconstruction (ASIR) is a common method, but its efficacy in specific clinical contexts is continually evaluated.
Purpose of the Study:
- To compare the effectiveness of model-based iterative reconstruction (MBIR) against adaptive statistical iterative reconstruction (ASIR) for low-dose abdominal CT in patients with urolithiasis.
- To assess the added benefit of MBIR in visualizing ureteral anatomy and characterizing urinary tract stones.
Main Methods:
- A study involving 53 patients with known or suspected urolithiasis undergoing low-dose abdominal CT.
- Subjective and objective evaluations of ureteral definition were performed by blinded readers.
- Contrast-to-noise ratio (CNR) for soft tissue and fat was calculated.
- Stone characteristics, including position, maximal density, and diameter, were assessed using both ASIR and MBIR.
Main Results:
- MBIR demonstrated significantly superior ureteral definition compared to ASIR (p < 0.0001).
- Mean CNR was markedly higher with MBIR (17.82 ± 4.84) versus ASIR (6.066 ± 1.985) (p < 0.0001).
- MBIR led to significantly higher measurements of stone maximal density (754.4 ± 376.5 HU) and diameter (4.91 ± 2.61 mm) compared to ASIR (p < 0.0001).
Conclusions:
- MBIR offers significant improvements in ureteral definition on low-dose abdominal CT for urolithiasis assessment.
- The systematic use of MBIR may be recommended due to enhanced visualization.
- Clinicians should be aware that MBIR may systematically overestimate stone density and size.
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