The Experts below are selected from a list of 5145 Experts worldwide ranked by ideXlab platform
Purang Abolmaesumi - One of the best experts on this subject based on the ideXlab platform.
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lumbar spine segmentation using a statistical multi vertebrae anatomical shape pose model
IEEE Transactions on Medical Imaging, 2013Co-Authors: Abtin Rasoulian, Robert Rohling, Purang AbolmaesumiAbstract:Segmentation of the Spinal column from computed tomography (CT) images is a preprocessing step for a range of image-guided interventions. One intervention that would benefit from accurate segmentation is Spinal Needle injection. Previous Spinal segmentation techniques have primarily focused on identification and separate segmentation of each vertebra. Recently, statistical multi-object shape models have been introduced to extract common statistical characteristics between several anatomies. These models can be used for segmentation purposes because they are robust, accurate, and computationally tractable. In this paper, we develop a statistical multi-vertebrae shape+pose model and propose a novel registration-based technique to segment the CT images of spine. The multi-vertebrae statistical model captures the variations in shape and pose simultaneously, which reduces the number of registration parameters. We validate our technique in terms of accuracy and robustness of multi-vertebrae segmentation of CT images acquired from lumbar vertebrae of 32 subjects. The mean error of the proposed technique is below 2 mm, which is sufficient for many Spinal Needle injection procedures, such as facet joint injections.
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An augmented reality haptic training simulator for Spinal Needle procedures
IEEE Transactions on Biomedical Engineering, 2013Co-Authors: Colin Sutherland, Rick Sellens, Keyvan Hashtrudi-zaad, Purang Abolmaesumi, Parvin MousaviAbstract:This paper presents the prototype for an augmented reality haptic simulation system with potential for Spinal Needle insertion training. The proposed system is composed of a torso mannequin, a MicronTracker2 optical tracking system, a PHANToM haptic device, and a graphical user interface to provide visual feedback. The system allows users to perform simulated Needle insertions on a physical mannequin overlaid with an augmented reality cutaway of patient anatomy. A tissue model based on a finite-element model provides force during the insertion. The system allows for training without the need for the presence of a trained clinician or access to live patients or cadavers. A pilot user study demonstrates the potential and functionality of the system.
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Spinal Needle navigation by tracked ultrasound snapshots
IEEE Transactions on Biomedical Engineering, 2012Co-Authors: Tamas Ungi, Purang Abolmaesumi, R Jalal, Mattea Welch, I Ayukawa, Simrin Nagpal, Andras Lasso, Melanie Jaeger, Daniel P Borschneck, Gabor FichtingerAbstract:Purpose: Ultrasound (US) guidance in facet joint injections has been reported previously as an alternative to imaging modalities with ionizing radiation. However, this technique has not been adopted in the clinical routine, due to difficulties in the visualization of the target joint in US and simultaneous manipulation of the Needle. Methods: We propose a technique to increase targeting accuracy and efficiency in facet joint injections. This is achieved by electromagnetically tracking the positions of the US transducer and the Needle, and recording tracked US snapshots (TUSS). The Needle is navigated using the acquired US snapshots. Results: In cadaveric lamb model, the success rate of facet joint injections by five orthopedic surgery residents significantly increased from 44.4% (p <; 0.05) with freehand US guidance to 93.3% with TUSS guidance. Needle insertion time significantly decreased from 47.9 ± 34.2 s to 36.1 ± 28.7 s (mean ± SD). In a synthetic human spine model, a success rate of 96.7% was achieved with TUSS. The targeting accuracy of the presented system in a gel phantom was 1.03 ± 0.48 mm (mean ± SD). Conclusion: Needle guidance with TUSS improves the success rate and time efficiency in Spinal facet joint injections. This technique readily translates also to other Spinal Needle placement applications.
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Spinal Needle Navigation by Tracked Ultrasound Snapshots
IEEE Transactions on Biomedical Engineering, 2012Co-Authors: Tamas Ungi, Purang Abolmaesumi, R Jalal, I Ayukawa, Simrin Nagpal, Andras Lasso, Melanie Jaeger, Daniel P Borschneck, Mattea L. Welch, Gabor FichtingerAbstract:Purpose: Ultrasound (US) guidance in facet joint injections has been reported previously as an alternative to imaging modalities with ionizing radiation. However, this technique has not been adopted in the clinical routine, due to difficulties in the visualization of the target joint in US and simultaneous manipulation of the Needle. Methods: We propose a technique to increase targeting accuracy and efficiency in facet joint injections. This is achieved by electromagnetically tracking the positions of the US transducer and the Needle, and recording tracked US snapshots (TUSS). The Needle is navigated using the acquired US snapshots. Results: In cadaveric lamb model, the success rate of facet joint injections by five orthopedic surgery residents significantly increased from 44.4% (p
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towards an augmented ultrasound guided Spinal Needle insertion system
International Conference of the IEEE Engineering in Medicine and Biology Society, 2011Co-Authors: Colin Sutherland, Purang Abolmaesumi, Keyvan Hashtrudizaad, Parvin MousaviAbstract:We propose a haptic-based simulator for ultrasound-guided percutaneous Spinal interventions. The system is composed of a haptic device to provide force feedback, a camera system to display video and augmented computed tomography (CT) overlay, a finite element model for tissue deformation and US simulation from a CT volume. The proposed system is able to run a large finite element model at the required haptic rate for smooth force feedback, and uses haptic device position measurements for a steady response. The simulated US images from CT closely resemble the vertebrae images captured in vivo. This is the first report of a system that provides a training environment to couple haptic feedback with a tracked mannequin, and a CT volume overlaid on a visual feed of the mannequin.
Gabor Fichtinger - One of the best experts on this subject based on the ideXlab platform.
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Spinal Needle navigation by tracked ultrasound snapshots
IEEE Transactions on Biomedical Engineering, 2012Co-Authors: Tamas Ungi, Purang Abolmaesumi, R Jalal, Mattea Welch, I Ayukawa, Simrin Nagpal, Andras Lasso, Melanie Jaeger, Daniel P Borschneck, Gabor FichtingerAbstract:Purpose: Ultrasound (US) guidance in facet joint injections has been reported previously as an alternative to imaging modalities with ionizing radiation. However, this technique has not been adopted in the clinical routine, due to difficulties in the visualization of the target joint in US and simultaneous manipulation of the Needle. Methods: We propose a technique to increase targeting accuracy and efficiency in facet joint injections. This is achieved by electromagnetically tracking the positions of the US transducer and the Needle, and recording tracked US snapshots (TUSS). The Needle is navigated using the acquired US snapshots. Results: In cadaveric lamb model, the success rate of facet joint injections by five orthopedic surgery residents significantly increased from 44.4% (p <; 0.05) with freehand US guidance to 93.3% with TUSS guidance. Needle insertion time significantly decreased from 47.9 ± 34.2 s to 36.1 ± 28.7 s (mean ± SD). In a synthetic human spine model, a success rate of 96.7% was achieved with TUSS. The targeting accuracy of the presented system in a gel phantom was 1.03 ± 0.48 mm (mean ± SD). Conclusion: Needle guidance with TUSS improves the success rate and time efficiency in Spinal facet joint injections. This technique readily translates also to other Spinal Needle placement applications.
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Spinal Needle Navigation by Tracked Ultrasound Snapshots
IEEE Transactions on Biomedical Engineering, 2012Co-Authors: Tamas Ungi, Purang Abolmaesumi, R Jalal, I Ayukawa, Simrin Nagpal, Andras Lasso, Melanie Jaeger, Daniel P Borschneck, Mattea L. Welch, Gabor FichtingerAbstract:Purpose: Ultrasound (US) guidance in facet joint injections has been reported previously as an alternative to imaging modalities with ionizing radiation. However, this technique has not been adopted in the clinical routine, due to difficulties in the visualization of the target joint in US and simultaneous manipulation of the Needle. Methods: We propose a technique to increase targeting accuracy and efficiency in facet joint injections. This is achieved by electromagnetically tracking the positions of the US transducer and the Needle, and recording tracked US snapshots (TUSS). The Needle is navigated using the acquired US snapshots. Results: In cadaveric lamb model, the success rate of facet joint injections by five orthopedic surgery residents significantly increased from 44.4% (p
Christopher M Bernards - One of the best experts on this subject based on the ideXlab platform.
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does a paresthesia during Spinal Needle insertion indicate intrathecal Needle placement
Regional Anesthesia and Pain Medicine, 2009Co-Authors: Ryan P Pong, Benjamin S Gmelch, Christopher M BernardsAbstract:Background and Objectives: Paresthesias are relatively common during Spinal Needle insertion, however, the clinical significance of the paresthesia is unknown. A paresthesia may result from Needle-to-nerve contact with a Spinal nerve in the epidural space, or, with far lateral Needle placement, may result from contact with a Spinal nerve within the intervertebral foramen. However, it is also possible and perhaps more likely, that paresthesias occur when the Spinal Needle contacts a Spinal nerve root within the subarachnoid space. This study was designed to test this latter hypothesis. Methods: Patients (n = 104) scheduled for surgery under Spinal anesthesia were observed during Spinal Needle insertion. If a paresthesia occurred, the Needle was fixed in place and the stylet removed to observe whether cerebroSpinal fluid (CSF) flowed from the hub. The presence of CSF was considered proof that the Needle had entered the subarachnoid space. Results: Paresthesias occurred in 14/103 (13.6%) of patients; 1 patient experienced a paresthesia twice. All paresthesias were transient. Following a paresthesia, CSF was observed in the Needle hub 86.7% (13/15) of the time. Conclusions: Our data suggest that the majority of transient paresthesias occur when the Spinal Needle enters the subarachnoid space and contacts a Spinal nerve root. Therefore, when transient paresthesias occur during Spinal Needle placement it is appropriate to stop and assess for the presence of CSF in the Needle hub, rather than withdraw and redirect the Spinal Needle away from the side of the paresthesia as some authors have suggested.
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effect of Needle puncture on morphine and lidocaine flux through the Spinal meninges of the monkey in vitro implications for combined Spinal epidural anesthesia
Anesthesiology, 1994Co-Authors: Christopher M Bernards, Dan J Kopacz, Maher Z MichelAbstract:Background:Combined Spinal-epidural anesthesia is a technique growing in popularity. However, there have been no attempts to investigate the risk of epidural drug reaching the subarachnoid space in high concentration by passing through the meningeal hole left by the Spinal Needle. This study begins
Tamas Ungi - One of the best experts on this subject based on the ideXlab platform.
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Spinal Needle navigation by tracked ultrasound snapshots
IEEE Transactions on Biomedical Engineering, 2012Co-Authors: Tamas Ungi, Purang Abolmaesumi, R Jalal, Mattea Welch, I Ayukawa, Simrin Nagpal, Andras Lasso, Melanie Jaeger, Daniel P Borschneck, Gabor FichtingerAbstract:Purpose: Ultrasound (US) guidance in facet joint injections has been reported previously as an alternative to imaging modalities with ionizing radiation. However, this technique has not been adopted in the clinical routine, due to difficulties in the visualization of the target joint in US and simultaneous manipulation of the Needle. Methods: We propose a technique to increase targeting accuracy and efficiency in facet joint injections. This is achieved by electromagnetically tracking the positions of the US transducer and the Needle, and recording tracked US snapshots (TUSS). The Needle is navigated using the acquired US snapshots. Results: In cadaveric lamb model, the success rate of facet joint injections by five orthopedic surgery residents significantly increased from 44.4% (p <; 0.05) with freehand US guidance to 93.3% with TUSS guidance. Needle insertion time significantly decreased from 47.9 ± 34.2 s to 36.1 ± 28.7 s (mean ± SD). In a synthetic human spine model, a success rate of 96.7% was achieved with TUSS. The targeting accuracy of the presented system in a gel phantom was 1.03 ± 0.48 mm (mean ± SD). Conclusion: Needle guidance with TUSS improves the success rate and time efficiency in Spinal facet joint injections. This technique readily translates also to other Spinal Needle placement applications.
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Spinal Needle Navigation by Tracked Ultrasound Snapshots
IEEE Transactions on Biomedical Engineering, 2012Co-Authors: Tamas Ungi, Purang Abolmaesumi, R Jalal, I Ayukawa, Simrin Nagpal, Andras Lasso, Melanie Jaeger, Daniel P Borschneck, Mattea L. Welch, Gabor FichtingerAbstract:Purpose: Ultrasound (US) guidance in facet joint injections has been reported previously as an alternative to imaging modalities with ionizing radiation. However, this technique has not been adopted in the clinical routine, due to difficulties in the visualization of the target joint in US and simultaneous manipulation of the Needle. Methods: We propose a technique to increase targeting accuracy and efficiency in facet joint injections. This is achieved by electromagnetically tracking the positions of the US transducer and the Needle, and recording tracked US snapshots (TUSS). The Needle is navigated using the acquired US snapshots. Results: In cadaveric lamb model, the success rate of facet joint injections by five orthopedic surgery residents significantly increased from 44.4% (p
Parvin Mousavi - One of the best experts on this subject based on the ideXlab platform.
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An augmented reality haptic training simulator for Spinal Needle procedures
IEEE Transactions on Biomedical Engineering, 2013Co-Authors: Colin Sutherland, Rick Sellens, Keyvan Hashtrudi-zaad, Purang Abolmaesumi, Parvin MousaviAbstract:This paper presents the prototype for an augmented reality haptic simulation system with potential for Spinal Needle insertion training. The proposed system is composed of a torso mannequin, a MicronTracker2 optical tracking system, a PHANToM haptic device, and a graphical user interface to provide visual feedback. The system allows users to perform simulated Needle insertions on a physical mannequin overlaid with an augmented reality cutaway of patient anatomy. A tissue model based on a finite-element model provides force during the insertion. The system allows for training without the need for the presence of a trained clinician or access to live patients or cadavers. A pilot user study demonstrates the potential and functionality of the system.
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towards an augmented ultrasound guided Spinal Needle insertion system
International Conference of the IEEE Engineering in Medicine and Biology Society, 2011Co-Authors: Colin Sutherland, Purang Abolmaesumi, Keyvan Hashtrudizaad, Parvin MousaviAbstract:We propose a haptic-based simulator for ultrasound-guided percutaneous Spinal interventions. The system is composed of a haptic device to provide force feedback, a camera system to display video and augmented computed tomography (CT) overlay, a finite element model for tissue deformation and US simulation from a CT volume. The proposed system is able to run a large finite element model at the required haptic rate for smooth force feedback, and uses haptic device position measurements for a steady response. The simulated US images from CT closely resemble the vertebrae images captured in vivo. This is the first report of a system that provides a training environment to couple haptic feedback with a tracked mannequin, and a CT volume overlaid on a visual feed of the mannequin.
