Improving image quality with model-based iterative reconstruction at quarter of nominal dose in upper abdominal CT

Zhang, Xirong; Chen, Jing; Ye, Nan; Ren, Zhanli; Tian, Qian; Tian, Xin; He, Tao; Guo, Changyi

doi:10.1259/bjr.20180137

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…In the past, multiple approaches for dose reduction in MDCT-based body composition imaging were performed. Amongst others, Chang et al showed the possibility of tube current reduction up to 50% of original doses in liver imaging with a preservation of image quality and contrast-to-noise ratio and stable quantitative measures (35,36). Furthermore, Yamada et al proved the feasibility of lowering radiation doses to 30% of the original dose in imaging visceral and subcutaneous adipose tissue, which constitute the largest share of human fat deposition localizations (37).…”

Section: B Amentioning

confidence: 99%

Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment

Burian

Sollmann

Mei

et al. 2021

Quant Imaging Med Surg

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Background: Wasting disease entities like cachexia or sarcopenia are associated with a decreasing muscle mass and changing muscle composition. For valid and reliable disease detection and monitoring diagnostic techniques offering quantitative musculature assessment are needed. Multi-detector computed tomography (MDCT) is a broadly available imaging modality allowing for muscle composition analysis. A major disadvantage of using MDCT for muscle composition assessment is the radiation exposure. In this study we evaluated the performance of different methods of radiation dose reduction for paravertebral muscle composition assessment.Methods: MDCT scans of eighteen subjects (6 males, age: 71.5±15.9 years, and 12 females, age: 71.0±8.9 years) were retrospectively simulated as if they were acquired at 50%, 10%, 5%, and 3% of the original X-ray tube current or number of projections (i.e., sparse sampling). Images were reconstructed with a statistical iterative reconstruction (SIR) algorithm. Paraspinal muscles (psoas and erector spinae muscles) at the level of L4 were segmented in the original-dose images. Segmentations were superimposed on all lowdose scans and muscle density (MD) extracted.Results: Sparse sampling derived mean MD showed no significant changes (P=0.57 and P=0.22) down to 5% of the original projections in the erector spinae and psoas muscles, respectively. All virtually reduced tube current series showed significantly different (P>0.05) mean MD in the psoas and erector spinae muscles as compared to the original dose except for the images of 5% of the original tube current in the erector spinae muscle.Conclusions: Our findings demonstrated the possibility of considerable radiation dose reduction using MDCT scans for assessing the composition of the paravertebral musculature. The sparse sampling approach seems to be promising and a potentially superior technique for dose reduction as compared to tube current reduction.

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Section: B Amentioning

confidence: 99%

Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment

Burian

Sollmann

Mei

et al. 2021

Quant Imaging Med Surg

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“…IR reduces image noise for the same radiation dose, or alternatively allows for radiation dose reduction for the same image quality [56]. This has been demonstrated in phantom and clinical settings for pancreatic evaluation (36-60% radiation dose saving), even on wide-16cm-detector systems [57][58][59][60][61]. A specific type of IR known as model-based IR can further reduce radiation dose by up to 75% [60].…”

Section: Multi-detector Computerized Tomographymentioning

confidence: 99%

“…This has been demonstrated in phantom and clinical settings for pancreatic evaluation (36-60% radiation dose saving), even on wide-16cm-detector systems [57][58][59][60][61]. A specific type of IR known as model-based IR can further reduce radiation dose by up to 75% [60]. Lin et al evaluated 1.25 thin axial pancreatic phase CT images and found that IRreconstructed images, especially model-based IR, better depicted the pancreatic duct [62].…”

Section: Multi-detector Computerized Tomographymentioning

confidence: 99%

Advanced imaging techniques for chronic pancreatitis

Parakh

Tirkes

2019

Abdom Radiol

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MRI and MRCP play an important role in the diagnosis of chronic pancreatitis (CP) by imaging pancreatic parenchyma and ducts. MRI/MRCP is more widely used than computed tomography (CT) for mild to moderate CP due to its increased sensitivity for pancreatic ductal and gland changes; however, it does not detect the calcifications seen in advanced CP. Quantitative MR imaging offers potential advantages over conventional qualitative imaging, including simplicity of analysis, quantitative and population-based comparisons, and more direct interpretation of detected changes. These techniques may provide quantitative metrics for determining the presence and severity of acinar cell loss and aid in the diagnosis of chronic pancreatitis. Given the fact that the parenchymal changes of CP precede the ductal involvement, there would be a significant benefit from developing an MRI/MRCP based, more robust diagnostic criteria combining ductal and parenchymal findings. Among cross-sectional imaging modalities, multi-detector CT (MDCT) has been a cornerstone for evaluating chronic pancreatitis (CP) since it is ubiquitous, assesses primary disease process, identifies complications like pseudocyst or vascular thrombosis with high sensitivity and specificity, guides therapeutic management decisions, and provides images with isotropic resolution within seconds. Conventional MDCT has certain limitations and is reserved to provide predominantly morphological (e.g. calcifications, organ size) rather than functional information. The emerging applications of radiomics and artificial intelligence is poised to extend the current capabilities of MDCT. In this review article, we will review advanced imaging techniques by MRI, MRCP, CT and ultrasound.Terms of use and reuse: academic research for non-commercial purposes, see here for full terms. https://www.springer.com/aamterms-v1 (*)

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Evaluation of SR-DLR in low-dose abdominal CT: superior image quality and noise reduction

Tamura,

Mukaida,

Ota

et al. 2024

Abdom Radiol

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Improving image quality with model-based iterative reconstruction at quarter of nominal dose in upper abdominal CT

Cited by 4 publications

References 22 publications

Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment

Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment

Advanced imaging techniques for chronic pancreatitis

Evaluation of SR-DLR in low-dose abdominal CT: superior image quality and noise reduction

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