Developing a needle guidance virtual environment with patient-specific data and force feedback

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

doi:10.1016/j.ics.2005.03.200

Cited by 16 publications

(6 citation statements)

References 2 publications

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“…Using GLSL, it becomes possible to detect if the texture coordinates corresponding to each pixel of the MPR image, computed from the 3D texture, are either being penetrated by the needle or not. Thus, the straightforward algorithm using trigonometric identities described previously in Reference [7] can also be implemented using GLSL to use hardware acceleration to detect whether texture coordinates corresponding to the voxel V in the original CT dataset should be marked as a needle voxel (see Reference [7] for details). In such a case, the pixel in the MPR image is directly set to a high value instead of fetching the original colour at the given texture coordinates (see Figure 7A).…”

Section: Reconstructed Image Renderingmentioning

confidence: 99%

“…Data obtained from the questionnaires given to 20 inexperienced trainees during the first workshop at the teaching hospital, using the early version of the simulator described in Reference [7]. Trainees were asked to fill out this questionnaire by circling the option that they most agree with.…”

Section: Stronglymentioning

confidence: 99%

“…The version of the simulator used at the first workshop at the teaching hospital was an early version of the simulator that made use of an immersive VE with stereoscopy. 7 At the second workshop, the simulator described in this paper was used on a laptop without stereoscopy. Placing the virtual probe and needle at the skin entry site then became more difficult to achieve.…”

Section: Stronglymentioning

confidence: 99%

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

Vidal¹,

John

Healey³

et al. 2007

Computer Animation & Virtual

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We present an integrated system for training ultrasound (US) guided needle puncture. Our aim is to provide a validated training tool for interventional radiology (IR) that uses actual patient data. IR procedures are highly reliant on the sense of touch and so haptic hardware is an important part of our solution. A hybrid surface/volume haptic rendering of an US transducer is proposed to constrain the device to remain outside the bony structures when scanning the patient's skin. A volume haptic model is proposed that implements an effective model of needle puncture. Force measurements have been made on real tissue and the resulting data is incorporated into the model. The other input data required is a computed tomography (CT) scan of the patient that is used to create the patient specific models. It is also the data source for a novel simulation of a virtual US scanner, which is used to guide the needle to the correct location.

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Section: Reconstructed Image Renderingmentioning

confidence: 99%

Section: Stronglymentioning

confidence: 99%

Section: Stronglymentioning

confidence: 99%

See 1 more Smart Citation

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

Vidal¹,

John

Healey³

et al. 2007

Computer Animation & Virtual

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“…[4][5][6][7], much of the associated modelling has been applied to needle injections into deep central tissues such as liver [8,9], often assisted by ultrasound [10] or computed tomography [11], rather than to the peripheral VP process. De Boer et al [1] have developed an instrument for automated VP and analysed the forces produced in phantom and animal tissues.…”

Section: Introductionmentioning

confidence: 99%

Modelling Framework and Assistive Device for Peripheral Intravenous Injections

et al. 2016

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Intravenous access for blood sampling or drug administration that requires peripheral venepuncture is perhaps the most common invasive procedure practiced in hospitals, clinics and general practice surgeries. We describe an idealised mathematical framework for modelling the dynamics of the peripheral venepuncture process. Basic assumptions of the model are confirmed through motion analysis of needle trajectories during venepuncture, taken from video recordings of a skilled practitioner injecting into a practice kit. The framework is also applied to the design and construction of a proposed device for accurate needle guidance during venepuncture administration, assessed as consistent and repeatable in application and does not lead to over puncture. The study provides insights into the ubiquitous peripheral venepuncture process and may contribute to applications in training and in the design of new devices, including for use in robotic automation.

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“…Franck et al present a simulator for needle guidance training within a virtual environment [1]. The haptic model integrated into this system allows skin penetration.…”

Section: Introductionmentioning

confidence: 99%

An Ultrasound-Guided Organ Biopsy Simulation with 6DOF Haptic Feedback

Chan

Qin

et al. 2008

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

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Abstract. Ultrasound-guided biopsy is one of the most fundamental, but difficult, skills to acquire in interventional radiology. Intensive training, especially in the needle insertion, is required for trainee radiologists to perform safe procedures. In this paper, we propose a virtual reality simulation system to facilitate the training of radiologists and physicians in this procedures. Key issues addressed include a 3D anatomical model reconstruction, data fusion of multiple ultrasound volumes and computed tomography (CT), realistic rendering, interactive navigation, and haptic feedbacks in six degrees of freedom (DOF). Simulated ultrasound imagery based on real ultrasound data is presented to users, in real-time, while performing an examination on the needle placement into a virtual anatomical model. Our system delivers a realistic haptic feeling for trainees throughout the simulated needle insertion procedure, permitting repeated practices with no danger to patients.

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Developing a needle guidance virtual environment with patient-specific data and force feedback

Cited by 16 publications

References 2 publications

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

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

Modelling Framework and Assistive Device for Peripheral Intravenous Injections

An Ultrasound-Guided Organ Biopsy Simulation with 6DOF Haptic Feedback

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