Simulation of ultrasound guided needle puncture using patient specific data with 3D textures and volume haptics

Vidal, Franck; John, Nigel W.; Healey, Andrew; Gould, Debby

doi:10.1002/cav.217

Cited by 61 publications

(31 citation statements)

References 28 publications

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“…To our knowledge no method of simulating ultrasound absorption from CT data has been published before beyond "counting bone pixels" as implemented by Zhu et al 5 or Vidal et al 9 Like a real probe, all acquisition parameters can be interactively changed during the simulation, including US frequency, US intensity, time-gain compensation, and field geometry, as well as speckle size and radial blurring. A wide range of different probe types can be simulated and our simulation framework is generally applicable to training of different US examinations or US-guided procedures.…”

Section: Discussionmentioning

confidence: 99%

Ultrasound goes GPU: real-time simulation using CUDA

et al. 2009

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Despite the increasing adoption of other imaging modalities, ultrasound guidance is widely used for surgical procedures and clinical imaging due to its low cost, non-invasiveness, and real-time visual feedback. Many ultrasound-guided procedures require extensive training and where possible training on simulations should be preferred over patients. Computational resources for existing approaches to ultrasound simulation are usually limited by real-time requirements. Unlike previous approaches we simulate freehand ultrasound images from CT data on the Graphics Processing Unit (GPU). We build upon the method proposed by Wein et al. for estimating ultrasound reflection properties of tissue and modify it to a computationally more efficient form. In addition to previous approaches, we also estimate ultrasound absorption properties from CT data. Using NVIDIA's "Compute Unified Device Architecture" (CUDA), we provide a physically plausible simulation of ultrasound reflection, shadowing artifacts, speckle noise and radial blurring. The same algorithm can be used for simulating either linear or radial imaging, and all parameters of the simulated probe are interactively configurable at runtime, including ultrasound frequency and intensity as well as field geometry. With current hardware we are able to achieve an image width of up to 1023 pixels from raw CT data in real-time, without any pre-processing and without any loss of information from the CT image other than from interpolation of the input data. Visual comparison to real ultrasound images indicates satisfactory results.

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Section: Discussionmentioning

confidence: 99%

Ultrasound goes GPU: real-time simulation using CUDA

et al. 2009

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“…This haptic rendering model is based on Vidal's 3D rigid needle insertion simulation (Vidal et al, 2008). …”

Section: Haptics Renderingmentioning

confidence: 99%

ImaGiNe Seldinger: First simulator for Seldinger technique and angiography training

Luboz¹,

Zhang²,

Johnson³

et al. 2013

Computer Methods and Programs in Biomedicine

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Abstract.In vascular interventional radiology, procedures generally start with the Seldinger technique to access the vasculature, using a needle through which a guidewire is inserted, followed by navigation of catheters within the vessels. Visual and tactile skills are learnt in a patient apprenticeship which is expensive and risky for patients. We propose a training alternative through a new virtual simulator supporting the Seldinger technique: ImaGiNe (Imaging Guided interventional Needle) Seldinger. It is composed of two workstations: 1) a simulated pulse is palpated, in an immersive environment, to guide needle puncture, 2) two haptic devices provide a novel interface where a needle can direct a guidewire and catheter within the vessel lumen, using virtual fluoroscopy. Different complexities are provided by 28 real patient datasets. The feel of the simulation is enhanced by replicating, with the haptics, real force and flexibility measurements. A preliminary validation study has demonstrated training effectiveness for skills transfer.

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“…The software uses a Look Up Table (LUT) to find the appropriate force for each layer and interpolates the data to generate that force in the haptic device. The use of LUTs to find the appropriate force for each layer to generate force in the haptic device has previously been used in the context of needle insertion [24].…”

Section: Figure 11 Haptic Device Configured With the Measured Datamentioning

confidence: 99%

Towards a realistic in vitro experience of epidural Tuohy needle insertion

Vaughan

Dubey

Wee

et al. 2013

Proc Inst Mech Eng H

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The amount of pressure exerted on the syringe and the depth of needle insertion are the two key factors for successfully carrying out epidural procedure. The force feedback from the syringe plunger is helpful in judging the loss of pressure and the depth of the needle insertion is crucial in identifying when the needle is precisely placed in the epidural space. This paper presents the development of two novel wireless devices to measure these parameters to precisely guide the needle placement in the epidural space. These techniques can be directly used on patients or implemented in a simulator for improving the safety of procedure. A pilot trial has been conducted to collect depth and pressure data with the devices on a porcine cadaver. These measurements are then combined to accurately configure a haptic device for creating a realistic in-vitro experience of epidural needle insertion.

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Simulation of ultrasound guided needle puncture using patient specific data with 3D textures and volume haptics

Cited by 61 publications

References 28 publications

Ultrasound goes GPU: real-time simulation using CUDA

Ultrasound goes GPU: real-time simulation using CUDA

ImaGiNe Seldinger: First simulator for Seldinger technique and angiography training

Towards a realistic in vitro experience of epidural Tuohy needle insertion

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