A vessel segmentation method for serialized cerebralvascular DSA images based on spatial feature point set of rotating coordinate system

Liu, Bin; Jiang, Qianfeng; Liu, Wenpeng; Wang, Mingzhe; Zhang, Song; Zhang, Xiaohui; Zhang, Bingbing; Yue, Zongge

doi:10.1016/j.cmpb.2018.04.010

Cited by 7 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(2) Hidden layer design Some studies show that a nonlinear function can be approximated arbitrarily as long as the number of hidden neurons is large enough [4] . However, the more the number of neurons, the more the computation of the network will be increased and the overfitting problem will easily occur.…”

Section: Establishment Of Prediction Modelmentioning

confidence: 99%

Research on prediction of world buildings progress based on neural network algorithm

Gu¹,

Li²,

Li³

2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

View full text Add to dashboard Cite

We screened the results for the most active countries in buildings research over the past decade. By screening the data, the BP neural network prediction model of countries with buildings was established 100 years later, and solved by matlab software, Iraq may have buildings in the next 100 years. finally, solve the relevant model of 2123 buildings of 10728 and made the number of buildings change trend chart.

show abstract

Section: Establishment Of Prediction Modelmentioning

confidence: 99%

Research on prediction of world buildings progress based on neural network algorithm

Gu¹,

Li²,

Li³

2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

View full text Add to dashboard Cite

show abstract

“…Anesthesia and contrast agents are the two most important factors affecting the nal image quality of DSA. [22][23] When DSA is performed, it is required that the examinee keep absolutely static relative to the working bed. Good anesthesia can play a role of sedation and analgesia, and ensure smooth operation.…”

Section: Operation and Interference Factors Of Dsamentioning

confidence: 99%

Application of digital subtraction angiography in canine hindlimb arteriography

Wang

et al. 2021

Vascular

View full text Add to dashboard Cite

Objectives Research in the field of lower extremity vascular disease has increased in popularity over the years. To adequately characterize and validate the effectiveness of vascular interventions, in vivo experimentation in large animals is required. Thus, it is necessary to find a method to detect the shape and density of blood vessels in the lower extremities that can evaluate and verify the treatment measures’ effectiveness and have high accuracy and repeatability. This study characterized factors that determined both the accuracy and overall value of digital subtraction angiography in lower limb arteriography using a canine animal model. Methods Six beagle dogs were anesthetized and immobilized on the motorized table. The femoral artery was accessed using an indwelling needle. A bolus of contrast agent was injected into the access site, and digital subtraction angiography with bolus chase technology was used to collect contrast images for analysis. At the end of the procedure, the anesthetized dogs were euthanized using an overdose of potassium chloride. After confirming the euthanasia of the dogs, the cadavers were taken to the experimental animal center of Xinjiang Medical University and processed by qualified institutional personnel. Results The final arteriographic images of the hind limbs from all six dogs were precise, and the branches of small vessels could be distinguished without any visible artifacts. Conclusions These results suggested that arteriography using digital subtraction angiography could reveal the shape and density of blood vessels in canine animal models. This method has great potential to significantly improve research related to limb ischemia due to its simple and reproducible results.

show abstract

“…The method is further improved by modeling of intensity variation in [26]. Liu et al [25] presents a spatial rotating coordinate system designed to eliminate the incorrect feature points. In contrast to the sparse featurematching methods, an image-based approach obtaining dense correspondence was proposed in [7].…”

Section: A Related Workmentioning

confidence: 99%

Phase-Based Nonrigid Deformation for Digital Subtraction Angiography

et al. 2019

View full text Add to dashboard Cite

We present a method for digital subtraction angiography based on phase-based nonrigid deformation with specific consideration for changes between the image pairs. Input images are transformed into a scale-space representation using complex-valued filter responses. We apply a novel selection criterion to discern object motion and actual change by comparing the magnitudes in the responses. By manipulating phase, we directly generate a deformed image without explicit calculation of motion vectors. Our method is particularly useful in angiographic imaging where subtle changes between the image pairs should be preserved within the deformation and subtraction process. The experiments show that the proposed method preserves contrast for vessels and tumor stains while reducing motion artifact, which is clinically meaningful. INDEX TERMSImage registration, change detection, biomedical imaging, angiography.

show abstract

A vessel segmentation method for serialized cerebralvascular DSA images based on spatial feature point set of rotating coordinate system

Cited by 7 publications

References 17 publications

Research on prediction of world buildings progress based on neural network algorithm

Research on prediction of world buildings progress based on neural network algorithm

Application of digital subtraction angiography in canine hindlimb arteriography

Phase-Based Nonrigid Deformation for Digital Subtraction Angiography

Contact Info

Product

Resources

About