Model-based adaptive filter for a dedicated cardiovascular CT scanner: assessment of image noise, sharpness and quality

Abstract Funding Acknowledgements Type of funding sources: None. On Behalf of Cardiovascular Imaging Research Group Background The effect of filtered back projection (FBP) and adaptive statistical iterative reconstruction (ASIR) on coronary CT angiography (CCTA) images have been extensively studied and such algorithms are ubiquitously applied in the reconstruction of CCTA datasets. Currently, however, no data is available on the impact of a recently developed model based adaptive filter (MBAF). Purpose Our aim was to determine the effect of MBAF on the image quality of prospectively gated CCTA datasets. Methods We evaluated the images of 102 consecutive patients who underwent clinically indicated CCTA at our department. Four reconstructions of coronary cross-sectional images (FBP, ASIR, MBAF, ASIR + MBAF) were co-registered and assessed for qualitative (graininess, sharpness, overall image quality) and quantitative [image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)] image quality parameters. Image noise and signal were measured in the aortic root and the left main coronary artery, respectively. Graininess, sharpness, and overall image quality was assessed on a 5-point Likert scale by two experienced readers blinded to the reconstruction algorithm. Results No difference in sharpness was observed amongst the reconstructions (p = 0.08). Although ASIR + MBAF was non-superior to ASIR regarding overall image quality (p = 0.99), it performed better than FBP (p < 0.001), and MBAF (p < 0.001) alone. As compared to FBP, ASIR, and MBAF, the combination of ASIR and MBAF resulted in reduced image noise [53 ± 12, 31 ± 9, 36 ± 4, and 26 ± 4 Hounsfield units (HU), respectively; p < 0.001] and improved SNR (8 ± 3, 14 ± 4, 12 ± 2,16 ± 3 HU, respectively; p < 0.001) and CNR (17 ± 3, 16 ± 4, 13 ± 2, 18 ± 4 HU, respectively; p < 0.001). Conclusion The combination of ASIR and MBAF resulted in reduced image noise and improved SNR and CNR. The implementation of MBAF in clinical practice may result in easier interpretation of CCTA images and could potentiate radiation dose reduction.

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Accuracy of Model-based and Learning-based Approaches for Image Noise Variance Estimation

2020 IEEE Ukrainian Microwave Week (UkrMW) ◽

10.1109/ukrmw49653.2020.9252696 ◽

2020 ◽

Author(s):

Mykhail L. Uss ◽

Vladimir V. Lukin ◽

Benoit Vozel ◽

Kacem Chehdi

Keyword(s):

Variance Estimation ◽

Image Noise ◽

Noise Variance ◽

Model Based

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A Gaussian mixture regression model based adaptive filter for non-Gaussian noise without a priori statistic

Signal Processing ◽

10.1016/j.sigpro.2021.108314 ◽

2021 ◽

pp. 108314

Author(s):

Haoran Cui ◽

Xiaoxu Wang ◽

Shuaihe Gao ◽

Tiancheng Li

Keyword(s):

Regression Model ◽

Adaptive Filter ◽

Gaussian Noise ◽

A Priori ◽

Gaussian Mixture ◽

Mixture Regression ◽

Model Based ◽

Non Gaussian ◽

Mixture Regression Model

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Adaptive Filter and Improved Gray Predictive Model Based Multi-Model Predictive Method and Its Application in Quarter Load Forecasting

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1713435 ◽

2006 ◽

Cited By ~ 1

Author(s):

Jun Yan ◽

Chengwang Zhao ◽

Xingsheng Gu

Keyword(s):

Predictive Model ◽

Adaptive Filter ◽

Load Forecasting ◽

Model Based ◽

Predictive Method

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Evaluation of diagnostic accuracy: multidetector CT image noise correction improves specificity of a Gaussian model-based algorithm used for characterization of incidental adrenal nodules

Abdominal Radiology ◽

10.1007/s00261-018-1871-y ◽

2019 ◽

Vol 44 (3) ◽

pp. 1033-1043 ◽

Cited By ~ 3

Author(s):

Toshimasa J. Clark ◽

Larson D. Hsu ◽

Daniel Hippe ◽

Sophie Cowan ◽

Jonathan Carnell ◽

...

Keyword(s):

Diagnostic Accuracy ◽

Multidetector Ct ◽

Gaussian Model ◽

Image Noise ◽

Ct Image ◽

Model Based ◽

Noise Correction

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Optimized Control of X-ray Exposure and Image Noise Using a Particular Multislice CT Scanner

Japanese Journal of Radiological Technology ◽

10.6009/jjrt.64.955 ◽

2008 ◽

Vol 64 (8) ◽

pp. 955-959 ◽

Cited By ~ 1

Author(s):

Shuji Yamamoto ◽

Yoshihiro Koyama ◽

Masahiro Suzuki ◽

Hirofumi Nagasawa ◽

Ryutaro Kakinuma ◽

...

Keyword(s):

Multislice Ct ◽

Image Noise ◽

Ct Scanner ◽

X Ray

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Impact of flexible body surface coil and patient table on PET quantification and image quality in integrated PET/MR

Nuklearmedizin ◽

10.3413/nukmed-0608-13-07 ◽

2014 ◽

Vol 53 (03) ◽

pp. 79-87 ◽

Cited By ~ 8

Author(s):

M. Souvatzoglou ◽

A. Martinez-Möller ◽

M. Schwaiger ◽

S. I. Ziegler ◽

S. Fürst ◽

...

Keyword(s):

Standard Deviation ◽

Image Quality ◽

Image Noise ◽

Ct Scanner ◽

Patient Study ◽

Surface Coils ◽

Scan Time ◽

Pet Ct ◽

Relative Standard ◽

Patient Table

SummaryThe surface coils of the Biograph mMR integrated PET/MR system were optimised for PET, but are otherwise unaccounted for. The patient table is still more massive than those of PET/CT devices. The goal was to assess those hardware effects on quantification, count statistics, image quality and scan time both with phantoms and in patients and to investigate their clinical relevance. Patients, material, methods: PET phantom data were acquired with and without the patient table. Image noise was expressed as relative standard deviation and compared to a state-of-the-art PET/CT scanner. Protocols of the phantom/patient study regarding the surface coils were similar. Thoraces/ab- domens of 11 patients were scanned with and without a coil (1 BP, 4 min). Mean uptake and standard deviation in a cubical VOI were derived and expressed as SUV. Results: The patient table reduced the number of true coincidences (trues) by 19% (PET/MR) and by 11% (PET/CT). The scan duration for the mMR had to be increased by approximately 30% to achieve a noise level comparable to that of the PET/CT. Decreased SUVs with coil observed in the phantom were confirmed by the patient study. By removing the coil, the mean liver SUV increased by (6 ± 2)%. With (+3 ± 14)%, the average change was similar in lesions, but exceeded 20% in almost one fifth of them. The number of trues grew by (6 ± 1)% for the patients and by 7% for the phantom. Conclusion: Due to the additional attenuation caused by MR hardware, PET scan durations would have to be increased compared to current PET/CTs to provide similar image noise levels. The effect of the coils is mostly in the order of statistical fluctuations. In tumour lesions, it is more pronounced and shows a larger variability. Therefore, coils should be included in the attenuation correction to ensure accurate quantification and thus comparability across PET/MR and PET/CT scanners and within patient populations.

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Cardiovascular Computed Tomography

10.1093/med/9780198809272.001.0001 ◽

2019 ◽

Keyword(s):

Computed Tomography ◽

Technological Progress ◽

Image Acquisition ◽

Ct Scans ◽

Ct Image ◽

Ct Scanner ◽

Reference Guide ◽

Hands On ◽

International Experts ◽

Cardiovascular Ct

Recent years have seen a marked increase in cardiovascular computed tomography (CT) imaging, with the technique now integrated into many imaging guidelines, including those published by NICE. Rapid clinical and technological progress has created a need for guidance on the practical aspects of CT image acquisition, analysis, and interpretation. The Oxford Specialist Handbook of Cardiovascular CT, now revised for the second edition by practising international experts with many years of hands-on experience, is designed to fulfil this need. The handbook is a practical guide on performing, analysing, and interpreting cardiovascular CT scans, covering all aspects from patient safety to optimal image acquisition to differential diagnoses of tricky images. The format is designed to be accessible and is laid out in easy to navigate sections. It is meant as a quick-reference guide, to live near the CT scanner, workstation, or on the office shelf.

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