Variational Bayesian blind restoration reconstruction based on shear wave transform for low-dose medical CT image

Sun, Yu; Zhang, Liyi; Teng, Fei; Liu, Xiaopei

doi:10.1186/s13640-017-0234-x

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…In the fuzzy level centralized split calculation, the parameter settings during the level set evolution will also affect the final split conclusion of the medical image. Therefore, for different types of medical images, the control parameter selection values need to be adjusted appropriately [ 27 ].…”

Section: Experimental Methods For the Diagnosis Of Common Acute Abdom...mentioning

confidence: 99%

Role of CT Images in the Diagnosis of Common Acute Abdominal Diseases in General Surgery

Nan¹,

Zhang²,

Zhang³

et al. 2022

Journal of Healthcare Engineering

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Acute abdomen is a clinical emergency disease with acute abdominal pain as the main prominent feature. Through severe disease changes in intra-abdominal, extrapelvic, and retroperitoneal tissues and organs, symptoms and clinical signs led by abdominal pain are formed. This article mainly explores the role of CT imaging diagnosis in common acute abdominal diseases in general surgery. In this paper, the use of computer-aided CT scan imaging technology in pulmonary nodules was firstly investigated, and the image segmentation algorithms based on CT images were given, including the spatial domain fuzzy C-mean clustering separation algorithm and the spatial domain fuzzy clustering level set semiautomatic separation algorithm, then the treatment of acute abdomen under the concept of ERAS was explored, and the treatment of ERAS under CT images of the acute abdomen was analyzed and studied. The empirical research results show that the ERAS's concept is guided by the undergoing national nutritional support with the traditional perioperative management. Compared to 12.9% of complications in traditional CPM groups, the recall rate of complications after ERAS group was only 6.01%, the improvement was obvious and the results were statistically significant ( P < 0.05 ). Postoperative hospitalization time was also 4.62 days from 7.93 days, thus controlling the clinical risks of perioperative periods, providing a benefit to patient life.

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Section: Experimental Methods For the Diagnosis Of Common Acute Abdom...mentioning

confidence: 99%

Role of CT Images in the Diagnosis of Common Acute Abdominal Diseases in General Surgery

Nan¹,

Zhang²,

Zhang³

et al. 2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…To evaluate the properties of the low-rank plus sparse method, strategies for parameter choice are discussed based on the simulation results. The peak signal-to-noise ratio (PSNR) and the average structural similarity (MSSIM) parameters are selected for evaluation of image quality [21]- [24].…”

Section: Evaluation Proceduresmentioning

confidence: 99%

Towards a Combination of Low Rank and Sparsity in EIT Imaging

Wang

et al. 2019

IEEE Access

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Electrical impedance tomography (EIT) calculates the internal conductivity distribution of a body using electrical contact measurement and has become increasingly attractive in the biomedical field. However, the design of optimal tomography image reconstruction algorithms has not achieved an adequate level of progress and maturity. The spatial-temporal properties are crucial for the improvement of reconstruction quality and efficiency in dynamic EIT reconstruction. However, these properties have not been fully utilized in previous research. In this paper, a mathematical model for EIT reconstruction is built upon a combination of the low-rank and the sparsity theories. In addition to the low-rank method based on the nuclear norm constraint, the patch-based sparse method is also used to obtain the spatial features of a reconstructed image, according to the characteristic of an irregular boundary for the EIT image. The mathematical model of the new method is solved using the variable split (VS) algorithm. The imaging results are compared with the reconstruction results of the traditional algorithms. The experimental results demonstrate better performance of the new method compared with the traditional methods. The effectiveness of the proposed scheme is verified.

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Memristive continuous Hopfield neural network circuit for image restoration

Hong

Wang

2019

Neural Comput & Applic

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Variational Bayesian blind restoration reconstruction based on shear wave transform for low-dose medical CT image

Cited by 5 publications

References 29 publications

Role of CT Images in the Diagnosis of Common Acute Abdominal Diseases in General Surgery

Role of CT Images in the Diagnosis of Common Acute Abdominal Diseases in General Surgery

Towards a Combination of Low Rank and Sparsity in EIT Imaging

Memristive continuous Hopfield neural network circuit for image restoration

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