Novel, Robust, and Efficient Guidewire Modeling for PCI Surgery Simulator Based on Heterogeneous and Integrated Chain-Mails

Wang, Weiwei; Li, Shuai; Qin, Hong; Hao, Aimin

doi:10.1109/cadgraphics.2015.22

Cited by 4 publications

(16 citation statements)

References 20 publications

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“…In Refs. 13, 18, 29, 38, 40, 76, 77–80, 81, and 82, the instrument is modeled as rigid bodies connected to their neighbors by joints, and the Newton–Euler equations are used to describe the translational and rotational dynamics 38 , 76 , 77 , 80 , 83 . Since the speed of propagating the instrument is slow, the Newton–Euler equations are typically simplified by neglecting inertia and centrifugal force.…”

Section: Resultsmentioning

confidence: 99%

“…In Refs. 28, 37, 54, 64, 66, 85, 81, and 92, the axis-aligned bounding boxes method is used, calculating three-dimensional (3-D) boxes that bound the object and using them to test for collision instead of the original object. In Refs.…”

Section: Resultsmentioning

confidence: 99%

“…Modeling blood flow can be useful to distinguish between a normal and a narrowed vessel 34 . However, in most of the studies on guidewire and catheter modeling, the effect of blood flow is neglected to reduce the complexity and only a few studies considered it 11 , 13 , 20 , 79 , 81 . Considering the blood flow when designing catheters with a side hole for the drug delivery might be interesting as the flow condition can affect the injection procedure 98 .…”

Section: Resultsmentioning

confidence: 99%

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Navigation of guidewires and catheters in the body during intervention procedures: a review of computer-based models

et al. 2018

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Guidewires and catheters are used during minimally invasive interventional procedures to traverse in vascular system and access the desired position. Computer models are increasingly being used to predict the behavior of these instruments. This information can be used to choose the right instrument for each case and increase the success rate of the procedure. Moreover, a designer can test the performance of instruments before the manufacturing phase. A precise model of the instrument is also useful for a training simulator. Therefore, to identify the strengths and weaknesses of different approaches used to model guidewires and catheters, a literature review of the existing techniques has been performed. The literature search was carried out in Google Scholar and Web of Science and limited to English for the period 1960 to 2017. For a computer model to be used in practice, it should be sufficiently realistic and, for some applications, real time. Therefore, we compared different modeling techniques with regard to these requirements, and the purposes of these models are reviewed. Important factors that influence the interaction between the instruments and the vascular wall are discussed. Finally, different ways used to evaluate and validate the models are described. We classified the developed models based on their formulation into finite-element method (FEM), mass-spring model (MSM), and rigid multibody links. Despite its numerical stability, FEM requires a very high computational effort. On the other hand, MSM is faster but there is a risk of numerical instability. The rigid multibody links method has a simple structure and is easy to implement. However, as the length of the instrument is increased, the model becomes slower. For the level of realism of the simulation, friction and collision were incorporated as the most influential forces applied to the instrument during the propagation within a vascular system. To evaluate the accuracy, most of the studies compared the simulation results with the outcome of physical experiments on a variety of phantom models, and only a limited number of studies have done face validity. Although a subset of the validated models is considered to be sufficiently accurate for the specific task for which they were developed and, therefore, are already being used in practice, these models are still under an ongoing development for improvement. Realism and computation time are two important requirements in catheter and guidewire modeling; however, the reviewed studies made a trade-off depending on the purpose of their model. Moreover, due to the complexity of the interaction with the vascular system, some assumptions have been made regarding the properties of both instruments and vascular system. Some validation studies have been reported but without a consistent experimental methodology.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Navigation of guidewires and catheters in the body during intervention procedures: a review of computer-based models

et al. 2018

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“…However, in clinical applications, the guidewire manipulative skills are still mainly obtained by an apprenticeship in real patients, rather than the guidewire simulation system for core skills training 1,2 . This is mainly because the guidewire behaviour modelling is still challenging 3 . Besides, some inherent and complex organizational characteristics (e.g., the specific endovascular inter‐dynamic procedure and miscellaneous heart physiological structure) make intravascular intervention guidewire simulation more difficult 3,4 .…”

Section: Introductionmentioning

confidence: 99%

Guidewire simulation of endovascular intervention: A systematic review

Qiu

Zhang

Yang

et al. 2022

Robotics Computer Surgery

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Background Endovascular intervention is an important minimally invasive surgery that requires professional skills to operate surgical instruments. Such skills are mainly gained through the traditional training paradigm of “see one, do one, teach one”, rather than the guidewire simulation system. Methods To identify limitations of existing guidewire simulation research and suggest further research orientations, a comprehensive search on literature published from 2007 to 2021 is performed in 11 selected electronic databases. Through our scrutiny and filtration, 34 articles are selected as major studies for careful examinations. Results We identify challenges faced in the field of endovascular intervention guidewire simulation. We examine and classify guidewire simulation techniques (including guidewire models, collision detection methods and collision response methods), accuracy evaluation methods, error sources, and performance optimization methods. Conclusions Guidewire simulation can satisfy the urgent need to train surgeons, thus more efforts should be dedicated enabling its wide application in clinical environment.

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“…Recently, intervention surgery guide‐wire image processing related research is prevalent. Among all of the study, PCI X‐ray video images detecting and tracking are quite stand out since they can be applied for assisting other applications such as robot‐assisted surgery [3], guide‐wire motion tracking [4], three‐dimensional (3D) guide‐wires reconstruction [5], and so on. However, guide‐wires detection is a very challenging task since there are many problematic factors, for example: (i) a guide‐wire image frequently contain a low signal‐to‐noise ratio [6]; (ii) a guide‐wire shape is hard to predict as the shape can be changed, due to the motion of the guide‐wire; (iii) there is an influence of the internal physicals such as anatomical skeleton contours, bones, and organs.…”

Section: Introductionmentioning

confidence: 99%

Applying maximally stable extremal regions and local binary patterns for guide‐wire detecting in percutaneous coronary intervention

2019

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Intervention surgery strongly requires information on the guide‐wire position under the monitoring of X‐ray video. Hence, the related researches such as guide‐wire detecting or tracking have become widespread. However, most of the existing methods require a lot of resources for computing or large data for training since the X‐ray videos have internal physicals such as anatomical skeleton contours and organs that are quite similar to a guide‐wire. This work presents a practical method that only requires a moderate number of training data for detecting a guide‐wire tip in an X‐ray video sequence during the percutaneous coronary intervention surgery. The method applies maximally stable extremal regions (MSER) combine with modified multi‐filters (region area range filter and stroke width variation filter) for region detection and local binary patterns (LBP) for guide‐wire recognition. The motivation for applying MSER and LBP are the robust efficacy and the low requirement of resources. The approach evaluated 20 different sequences of X‐ray videos, a total of 1295 frames. 50 selected frames were used as training templates and others to experiment. The method was successfully performed to the detecting guide‐wires with p‐value < 0.01 compared with conventional MSER methods, 93.7% average detection accuracy, and 21 fps average speed.

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Novel, Robust, and Efficient Guidewire Modeling for PCI Surgery Simulator Based on Heterogeneous and Integrated Chain-Mails

Cited by 4 publications

References 20 publications

Navigation of guidewires and catheters in the body during intervention procedures: a review of computer-based models

Navigation of guidewires and catheters in the body during intervention procedures: a review of computer-based models

Guidewire simulation of endovascular intervention: A systematic review

Applying maximally stable extremal regions and local binary patterns for guide‐wire detecting in percutaneous coronary intervention

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