The Experts below are selected from a list of 35604 Experts worldwide ranked by ideXlab platform
Hongen Liao - One of the best experts on this subject based on the ideXlab platform.
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MIAR - Automatic Fast-Registration Surgical Navigation System Using Depth Camera and Integral Videography 3D Image Overlay
Lecture Notes in Computer Science, 2016Co-Authors: Cong Ma, Guowen Chen, Hongen LiaoAbstract:We propose an automatic fast-registration augmented reality (AR) surgical navigation System for minimally invasive surgery. The System integrates a fast-registration technique with three-dimensional (3D) integral videography (IV) image Overlay. The detailed anatomic information generated by IV technique is superimposed to the patient using 3D autostereoscopic images, which reproduce motion parallax with naked eyes. To reduce the patient-3D Overlay image registration time and achieve automatic execution, we integrate a 3D image Overlay System with a real-time patient tracking System, which utilizes particle filter algorithm and depth camera. Experimental results showed that the System can lower the registration time and the can reach up to 10 frames per second (fps). The 3D Overlay image to the patient registration average error is 1.88 mm, with standard deviation of 0.72 mm. Further work for improvement of the depth camera acquisition accuracy and tracking algorithm makes this System more feasible and practical.
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MIAR - Automatic Fast-Registration Surgical Navigation System Using Depth Camera and Integral Videography 3D Image Overlay
Lecture Notes in Computer Science, 2016Co-Authors: Cong Ma, Guowen Chen, Hongen LiaoAbstract:We propose an automatic fast-registration augmented reality (AR) surgical navigation System for minimally invasive surgery. The System integrates a fast-registration technique with three-dimensional (3D) integral videography (IV) image Overlay. The detailed anatomic information generated by IV technique is superimposed to the patient using 3D autostereoscopic images, which reproduce motion parallax with naked eyes. To reduce the patient-3D Overlay image registration time and achieve automatic execution, we integrate a 3D image Overlay System with a real-time patient tracking System, which utilizes particle filter algorithm and depth camera. Experimental results showed that the System can lower the registration time and the can reach up to 10 frames per second (fps). The 3D Overlay image to the patient registration average error is 1.88 mm, with standard deviation of 0.72 mm. Further work for improvement of the depth camera acquisition accuracy and tracking algorithm makes this System more feasible and practical.
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3 d augmented reality for mri guided surgery using integral videography autostereoscopic image Overlay
IEEE Transactions on Biomedical Engineering, 2010Co-Authors: Hongen Liao, Ichiro Sakuma, Takashi Inomata, Takeyoshi DohiAbstract:A 3-D augmented reality navigation System using autostereoscopic images was developed for MRI-guided surgery. The 3-D images are created by employing an animated autostereoscopic image, integral videography (IV), which provides geometrically accurate 3-D spatial images and reproduces motion parallax without using any supplementary eyeglasses or tracking devices. The spatially projected 3-D images are superimposed onto the surgical area and viewed via a half-slivered mirror. A fast and accurate spatial image registration method was developed for intraoperative IV image-guided therapy. Preliminary experiments showed that the total System error in patient-to-image registration was 0.90 ± 0.21 mm, and the procedure time for guiding a needle toward a target was shortened by 75%. An animal experiment was also conducted to evaluate the performance of the System. The feasibility studies showed that augmented reality of the image Overlay System could increase the surgical instrument placement accuracy and reduce the procedure time as a result of intuitive 3-D viewing.
Cong Ma - One of the best experts on this subject based on the ideXlab platform.
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MIAR - Automatic Fast-Registration Surgical Navigation System Using Depth Camera and Integral Videography 3D Image Overlay
Lecture Notes in Computer Science, 2016Co-Authors: Cong Ma, Guowen Chen, Hongen LiaoAbstract:We propose an automatic fast-registration augmented reality (AR) surgical navigation System for minimally invasive surgery. The System integrates a fast-registration technique with three-dimensional (3D) integral videography (IV) image Overlay. The detailed anatomic information generated by IV technique is superimposed to the patient using 3D autostereoscopic images, which reproduce motion parallax with naked eyes. To reduce the patient-3D Overlay image registration time and achieve automatic execution, we integrate a 3D image Overlay System with a real-time patient tracking System, which utilizes particle filter algorithm and depth camera. Experimental results showed that the System can lower the registration time and the can reach up to 10 frames per second (fps). The 3D Overlay image to the patient registration average error is 1.88 mm, with standard deviation of 0.72 mm. Further work for improvement of the depth camera acquisition accuracy and tracking algorithm makes this System more feasible and practical.
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MIAR - Automatic Fast-Registration Surgical Navigation System Using Depth Camera and Integral Videography 3D Image Overlay
Lecture Notes in Computer Science, 2016Co-Authors: Cong Ma, Guowen Chen, Hongen LiaoAbstract:We propose an automatic fast-registration augmented reality (AR) surgical navigation System for minimally invasive surgery. The System integrates a fast-registration technique with three-dimensional (3D) integral videography (IV) image Overlay. The detailed anatomic information generated by IV technique is superimposed to the patient using 3D autostereoscopic images, which reproduce motion parallax with naked eyes. To reduce the patient-3D Overlay image registration time and achieve automatic execution, we integrate a 3D image Overlay System with a real-time patient tracking System, which utilizes particle filter algorithm and depth camera. Experimental results showed that the System can lower the registration time and the can reach up to 10 frames per second (fps). The 3D Overlay image to the patient registration average error is 1.88 mm, with standard deviation of 0.72 mm. Further work for improvement of the depth camera acquisition accuracy and tracking algorithm makes this System more feasible and practical.
Gabor Fichtinger - One of the best experts on this subject based on the ideXlab platform.
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EMBC - Design and development of a mobile image Overlay System for needle interventions
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Inte, 2014Co-Authors: M. Anand, Franklin King, Tamas Ungi, Andras Lasso, John F. Rudan, Jagadeesan Jayender, Jan Fritz, John A. Carrino, Ferenc A. Jolesz, Gabor FichtingerAbstract:Previously, a static and adjustable image Overlay Systems were proposed for aiding needle interventions. The System was either fixed to a scanner or mounted over a large articulated counterbalanced arm. Certain drawbacks associated with these Systems limited the clinical translation. In order to minimize these limitations, we present the mobile image Overlay System with the objective of reduced System weight, smaller dimension, and increased tracking accuracy. The design study includes optimal workspace definition, selection of display device, mirror, and laser source. The laser plane alignment, phantom design, image Overlay plane calibration, and System accuracy validation methods are discussed. The virtual image is generated by a tablet device and projected into the patient by using a beamsplitter mirror. The viewbox weight (1.0kg) was reduced by 8.2 times and image Overlay plane tracking precision (0.21mm, STD=0.05) was improved by 5 times compared to previous System. The automatic self-calibration of the image Overlay plane was achieved in two simple steps and can be done away from patient table. The fiducial registration error of the physical phantom to scanned image volume registration was 1.35mm (STD=0.11). The reduced System weight and increased accuracy of optical tracking should enable the System to be hand held by the physician and explore the image volume over the patient for needle interventions.
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augmented reality visualization using image Overlay technology for mr guided interventions cadaveric bone biopsy at 1 5 t
Investigative Radiology, 2013Co-Authors: Jan Fritz, Gabor Fichtinger, Tamas Ungi, Paweena Uthainual, Aaron Flammang, Edward F Mccarthy, Iulian Iordachita, John A. CarrinoAbstract:PurposeThe purpose of this study was to prospectively test the hypothesis that image Overlay technology facilitates accurate navigation for magnetic resonance (MR)–guided osseous biopsy.Materials and MethodsA prototype augmented reality image Overlay System was used in conjunction with a clinical 1.
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Image Overlay guidance for needle insertion in CT scanner
IEEE Transactions on Biomedical Engineering, 2005Co-Authors: Gabor Fichtinger, Anton Deguet, Herve Mathieu, Gregory S Fischer, Ken Masamune, Emese Balogh, Simion J Zinreich, Russell H Taylor, Laura M FayadAbstract:We present an image Overlay System to aid needle insertion procedures in computed tomography (CT) scanners. The device consists of a display and a semitransparent mirror that is mounted on the gantry. Looking at the patient through the mirror, the CT image appears to be floating inside the patient with correct size and position, thereby providing the physician with two-dimensional (2-D) "X-ray vision" to guide needle insertions. The physician inserts the needle following the optimal path identified in the CT image rendered on the display and, thus, reflected in the mirror. The System promises to reduce X-ray dose, patient discomfort, and procedure time by significantly reducing faulty insertion attempts. It may also increase needle placement accuracy. We report the design and implementation of the image Overlay System followed by the results of phantom and cadaver experiments in several clinical applications.
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Needle Insertion in CT Scanner with Image Overlay - Cadaver Studies
2004Co-Authors: Gabor Fichtinger, Anton Deguet, Herve Mathieu, Emese Balogh, Ken Massamune, Gregory Fischer, Russell Taylor, Laura Fayad, James ZinreichAbstract:An image Overlay System is presented to assist needle placement in conventional CT scanners. The device consists of a flat LCD display and a half mirror and is mounted on the gantry. Looking at the patient through the mirror, the CT image appears to be floating inside the patient with correct size and position, thereby providing the physician with two-dimensional "X-ray vision" to guide needle placement procedures. The physician inserts the needle following the optimal path identified in the CT image that is rendered on the LCD and thereby reflected in the mirror. The System promises to increase needle placement accuracy and also to reduce X-ray dose, patient discomfort, and procedure time by eliminating faulty insertion attempts. We report cadaver experiments in several clinical applications with a clinically applicable device.
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MICCAI (2) - An Image Overlay System with Enhanced Reality for Percutaneous Therapy Performed Inside CT Scanner
Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002, 2002Co-Authors: Ken Masamune, Anton Deguet, Gabor Fichtinger, Daisuke Matsuka, Russell H TaylorAbstract:We describe a simple, safe, and inexpensive image Overlay System to assist surgical interventions inside a conventional CT scanner. The Overlay System is mounted non-invasively on the gantry of the CT scanner and it consists of a seven degrees-of-freedom passive mounting arm, a flat LCD display, and a light brown acrylic plate as a half mirror. In a preoperative calibration process, the display, half-mirror, and imaging plane of the scanner are spatially registered by imaging a triangular calibration object. Following the calibration, the patient is brought into the scanner, an image is acquired and sent to the Overlay display via DICOM transfer. Looking at the patient through the half-mirror, the CT image appears to be floating inside the patient in correct size and position. This vision enables the physician to see both the surface and the inside of the patient at the same time, which can be utilized in guiding a surgical intervention. The complete System fits into a carry-on suitcase (except the mounting adapter), it is easy to calibrate, mounts non-invasively on the scanner, without utilizing vendor-specific features of he scanner.
Guowen Chen - One of the best experts on this subject based on the ideXlab platform.
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MIAR - Automatic Fast-Registration Surgical Navigation System Using Depth Camera and Integral Videography 3D Image Overlay
Lecture Notes in Computer Science, 2016Co-Authors: Cong Ma, Guowen Chen, Hongen LiaoAbstract:We propose an automatic fast-registration augmented reality (AR) surgical navigation System for minimally invasive surgery. The System integrates a fast-registration technique with three-dimensional (3D) integral videography (IV) image Overlay. The detailed anatomic information generated by IV technique is superimposed to the patient using 3D autostereoscopic images, which reproduce motion parallax with naked eyes. To reduce the patient-3D Overlay image registration time and achieve automatic execution, we integrate a 3D image Overlay System with a real-time patient tracking System, which utilizes particle filter algorithm and depth camera. Experimental results showed that the System can lower the registration time and the can reach up to 10 frames per second (fps). The 3D Overlay image to the patient registration average error is 1.88 mm, with standard deviation of 0.72 mm. Further work for improvement of the depth camera acquisition accuracy and tracking algorithm makes this System more feasible and practical.
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MIAR - Automatic Fast-Registration Surgical Navigation System Using Depth Camera and Integral Videography 3D Image Overlay
Lecture Notes in Computer Science, 2016Co-Authors: Cong Ma, Guowen Chen, Hongen LiaoAbstract:We propose an automatic fast-registration augmented reality (AR) surgical navigation System for minimally invasive surgery. The System integrates a fast-registration technique with three-dimensional (3D) integral videography (IV) image Overlay. The detailed anatomic information generated by IV technique is superimposed to the patient using 3D autostereoscopic images, which reproduce motion parallax with naked eyes. To reduce the patient-3D Overlay image registration time and achieve automatic execution, we integrate a 3D image Overlay System with a real-time patient tracking System, which utilizes particle filter algorithm and depth camera. Experimental results showed that the System can lower the registration time and the can reach up to 10 frames per second (fps). The 3D Overlay image to the patient registration average error is 1.88 mm, with standard deviation of 0.72 mm. Further work for improvement of the depth camera acquisition accuracy and tracking algorithm makes this System more feasible and practical.
Takeyoshi Dohi - One of the best experts on this subject based on the ideXlab platform.
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3 d augmented reality for mri guided surgery using integral videography autostereoscopic image Overlay
IEEE Transactions on Biomedical Engineering, 2010Co-Authors: Hongen Liao, Ichiro Sakuma, Takashi Inomata, Takeyoshi DohiAbstract:A 3-D augmented reality navigation System using autostereoscopic images was developed for MRI-guided surgery. The 3-D images are created by employing an animated autostereoscopic image, integral videography (IV), which provides geometrically accurate 3-D spatial images and reproduces motion parallax without using any supplementary eyeglasses or tracking devices. The spatially projected 3-D images are superimposed onto the surgical area and viewed via a half-slivered mirror. A fast and accurate spatial image registration method was developed for intraoperative IV image-guided therapy. Preliminary experiments showed that the total System error in patient-to-image registration was 0.90 ± 0.21 mm, and the procedure time for guiding a needle toward a target was shortened by 75%. An animal experiment was also conducted to evaluate the performance of the System. The feasibility studies showed that augmented reality of the image Overlay System could increase the surgical instrument placement accuracy and reduce the procedure time as a result of intuitive 3-D viewing.
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three dimensional slice image Overlay System with accurate depth perception for surgery
Medical Image Computing and Computer-Assisted Intervention, 2000Co-Authors: Ken Masamune, Yoshitaka Masutani, Susumu Nakajima, Ichiro Sakuma, Takeyoshi Dohi, Hiroshi Iseki, Kintomo TakakuraAbstract:In this paper, we describe a three-dimensional (3-D) display, containing a flat two-dimensional (2-D) display, an actuator and a half-silvered mirror. This System creates a superimposed slice view on the patient and gives accurate depth perception. The clinical significance of this System is that it displays raw image data at an accurate location on the patient’s body. Moreover, it shows previously acquired image information, giving the capacity for accurate direction to the surgeon who is thus able to perform less-invasive therapy. Compared with conventional 3-D displays, such as stereoscopy, this System only requires raw 3-D data that are acquired in advance. Simpler data processing is required, and the System has the potential for rapid development. We describe a novel algorithm, registering positional data between the image and the patient. The accuracy of the System is evaluated and confirmed by an experiment in which an image is superimposed on a test object. The results indicate that the System could be readily applied in clinical situations, considering the resolution of the pre-acquired images.
