Visual analysis of flow and diffusion of hemolytic agents and hematomas

Zhu, Yu; Bao, Mengyao; Jiang, Miaomiao; Chang, Jincai

doi:10.1186/s42492-020-00068-4

Cited by 4 publications

(5 citation statements)

References 20 publications

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“…The properties of fluid and drainage tube are given as parameters to fix the boundary conditions and with the help of COMSOL software the hemolytic agents are distributed in a stream line manner to the bifurcated tube. [5].The fluid flow in the blood vessel is coupled to magnetic field by a magnetic volume force which is in accordance with Navier-Strokes equation. Flow field in the vessel was affected by the magnetic volume forces generated by the magnetic field.…”

Section: Introductionmentioning

confidence: 72%

Detection of Liver Dysfunction using Microfluidics Analysis

Prabha

Kalyani

Parameshwari

et al. 2022

J. Phys.: Conf. Ser.

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The body fluids are an important clinical diagnostic marker, considered by the physicians for diagnosis, monitoring and treating various diseases. Bilirubin, orange-yellow coloured pigment, an end-product of heme metabolism is a biomarker for liver dysfunction primarily jaundice. Similarly, blood pressure is one amongst the main parameters raised in most of the abnormalities including liver dysfunction. Hence, screening of blood pressure and concentration of bilirubin in the blood stream helps to detect the pathological conditions. In COMSOL Multiphysics, fluid flow simulation task is taken into account to analyze the flow of blood, blood pressure, bilirubin and also their range of concentration. In the present work, liver dysfunction can be detected in early stage with the help of physiological behavior of hepatic artery by measuring the flow rate, blood pressure and bilirubin levels in the arteries with the aid of COMSOL Multiphysics simulation software. Also, the impact of obstruction due to the presence of blocks of various sizes in the arteries on the flow rate, bilirubin as well as blood pressure is explored.

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Section: Introductionmentioning

confidence: 72%

Detection of Liver Dysfunction using Microfluidics Analysis

Prabha

Kalyani

Parameshwari

et al. 2022

J. Phys.: Conf. Ser.

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“…Let the absorption point vector be P j � (x j , y j , z j ), j ∈ [1,4]. en, the vector set from each point on the main to each absorption point is…”

Section: Set Of Vectors Composed Of Each Point On the Main Axis Ismentioning

confidence: 99%

“…e hemolytic agent drained by the traditional drainage tube is mainly concentrated in the small hole of the main tube, and the blood concentration in the hematoma is also diffused in the direction of the orifice. As a result, the interdiffusion efficiency of hemolytic agent and hematoma is low and the speed is slow, thus prolongs the operation time and increases the operation risk [4].…”

Section: Introductionmentioning

confidence: 99%

“…Pan L proposed an improved adaptive weighted particle swarm optimization point cloud search algorithm to improve the efficiency and accuracy of puncture point identification and applied it to extract the optimal external axis, thus providing the optimal path for hematoma drainage tubes [6]. Zhu puts forward visual analysis of flow and diffusion of hemolytic agents and hematomas, using COMSOL more physical software to simulate the hemolysis agent bifurcate drainage tube in the streamline distribution and hemolysis agent in the diffusion behavior of hematoma [4]. Based on previous studies in our team, the drainage tube was optimized, and the adaptive bifurcation drainage tube was customized according to the geometric characteristics of different intracranial hematomas.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Design of Intracranial Hematoma Puncture Drainage Tube Based on Adaptive Bifurcation Algorithm

Chang

Jia

et al. 2021

Journal of Mathematics

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Aiming at the puncture and drainage of clinical intracranial hematoma, we proposed an adaptive bifurcation algorithm based on the hematoma point cloud and optimized the design of the drainage tube. Firstly, based on the CT data of intracranial hematoma patients, a three-dimensional hematoma model was established, the point cloud on the surface of the hematoma was extracted and simplified, and the location of the main drainage tube was located by using the long-axis extraction algorithm. Secondly, the Eight Diagrams algorithm was used to identify the internal point cloud of hematoma, and the positions of multiple absorption points were determined by the K-means clustering algorithm. The locations of the bifurcation points of the main drainage tubes were calculated by the numerical method, and the telescopic lengths and directions of multiple subdrainage tubes were obtained. Finally, connect the main tube and the subtube, design an adaptive bifurcation drainage tube model, and apply it to intracranial hematoma puncture and drainage surgery. The algorithm can accurately determine the puncture point, puncture path, number, and location of subdrainage tubes according to the geometric characteristics of hematoma, achieve a uniform and accurate dose adjustment and drainage of intracranial hematoma, and accelerate the dissolution and drainage speed. The application of an adaptive bifurcation drainage tube can significantly reduce the risk of intracerebral hemorrhage, intracranial infection, and other complications, which has certain guiding significance and application value in clinical practice.

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“…The medical image non-rigid registration algorithm can solve this problem to a certain extent, which is a search for the transformation relationship between images collected at different times or using different instruments [ 1 ]. According to the existing three-dimensional (3D) modeling technologies [ 2 , 3 ], Fig. 1 illustrates a 3D model of hematoma and nerve bundle before and after registration, respectively.…”

Section: Introductionmentioning

confidence: 99%

Non-rigid registration of medical images based on $$ {S}_2^1\left({\Delta}_{mn}^{(2)}\right) $$ non-tensor product B-spline

Zheng

Liu

Chang

2022

Vis. Comput. Ind. Biomed. Art

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In this study, a non-tensor product B-spline algorithm is applied to the search space of the registration process, and a new method of image non-rigid registration is proposed. The tensor product B-spline is a function defined in the two directions of x and y, while the non-tensor product B-spline $$ {S}_2^1\left({\Delta}_{mn}^{(2)}\right) $$ S 2 1 Δ mn 2 is defined in four directions on the 2-type triangulation. For certain problems, using non-tensor product B-splines to describe the non-rigid deformation of an image can more accurately extract the four-directional information of the image, thereby describing the global or local non-rigid deformation of the image in more directions. Indeed, it provides a method to solve the problem of image deformation in multiple directions. In addition, the region of interest of medical images is irregular, and usually no value exists on the boundary triangle. The value of the basis function of the non-tensor product B-spline on the boundary triangle is only 0. The algorithm process is optimized. The algorithm performs completely automatic non-rigid registration of computed tomography and magnetic resonance imaging images of patients. In particular, this study compares the performance of the proposed algorithm with the tensor product B-spline registration algorithm. The results elucidate that the proposed algorithm clearly improves the accuracy.

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Visual analysis of flow and diffusion of hemolytic agents and hematomas

Cited by 4 publications

References 20 publications

Detection of Liver Dysfunction using Microfluidics Analysis

Detection of Liver Dysfunction using Microfluidics Analysis

Optimal Design of Intracranial Hematoma Puncture Drainage Tube Based on Adaptive Bifurcation Algorithm

Non-rigid registration of medical images based on $$ {S}_2^1\left({\Delta}_{mn}^{(2)}\right) $$ non-tensor product B-spline

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