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检索条件"任意字段=Conference on Medical Imaging - Image-Guided Procedures, Robotic Interventions and Modeling"

共 935 条记录，以下是41-50 订阅

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Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms

Device and methods for "gold standard" registration of clini...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Madan, Hennadii Likar, Bostjan Pernus, Franjo Spiclin, Ziga Univ Ljubljana Fac Elect Engn SI-1000 Ljubljana Slovenia

ISBN: (纸本)9781628415056

Translation of any novel and existing 3D-2D image registration methods into clinical image-guidance systems is limited due to lack of their objective validation on clinical image datasets. The main reason is that, besides the calibration of the 2D imaging system, a reference or "gold standard" registration is very difficult to obtain on clinical image datasets. In the context of cerebral endovascular image-guided interventions (EIGIs), we present a calibration device in the form of a headband with integrated fiducial markers and, secondly, propose an automated pipeline comprising 3D and 2D image processing, analysis and annotation steps, the result of which is a retrospective calibration of the 2D imaging system and an optimal, i.e. "gold standard" registration of 3D and 2D images. The device and methods were used to create the "gold standard" on 15 datasets of 3D and 2D cerebral angiograms, whereas each dataset was acquired on a patient undergoing EIGI for either aneurysm coiling or embolization of arteriovenous malformation. The use of the device integrated seamlessly in the clinical workflow of EIGI. While the automated pipeline eliminated all manual input or interactive image processing, analysis or annotation. In this way, the time to obtain the "gold standard" was reduced from 30 to less than one minute and the "gold standard" of 3D-2D registration on all 15 datasets of cerebral angiograms was obtained with a sub-0.1 mm accuracy.

关键词： image-guided interventions 3D-2D image registration calibration validation/evaluation ground truth target registration error cerebral angiograms

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Beating Heart Mitral Valve Repair with Integrated Ultrasound imaging

Beating Heart Mitral Valve Repair with Integrated Ultrasound...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： McLeod, A. Jonathan Moore, John T. Peters, Terry M. Univ Western Ontario Robarts Res Inst London ON Canada Univ Western Ontario Biomed Engn Grad Program London ON Canada

ISBN: (纸本)9781628415056

Beating heart valve therapies rely extensively on image guidance to treat patients who would be considered inoperable with conventional surgery. Mitral valve repair techniques including the MitrClip, NeoChord, and emerging transcatheter mitral valve replacement techniques rely on transesophageal echocardiography for guidance. These images are often difficult to interpret as the tool will cause shadowing artifacts that occlude tissue near the target site. Here, we integrate ultrasound imaging directly into the NeoChord device. This provides an unobstructed imaging plane that can visualize the valve leaflets as they are engaged by the device and can aid in achieving both a proper bite and spacing between the neochordae implants. A proof of concept user study in a phantom environment is performed to provide a proof of concept for this device.

关键词： Mitral Valve Repair Neochord Implantation Beating Heart Surgery Intraoperative Echocardiography Augment Reality

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Validation of a low-cost adjustable, handheld needle guide for spine interventions

Validation of a low-cost adjustable, handheld needle guide f...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Wiercigroch, Julia Baum, Zachary Ungi, Tamas Fritz, Jan Fichtinger, Gabor Queens Univ Lab Percutaneous Surg Kingston ON Canada Johns Hopkins Univ Sch Med Baltimore MD USA

ISBN: (纸本)9781510625501

PURPOSE: MR-guided injections are safer for the patient and the physician than CT-guided interventions but require a significant amount of hand-eye coordination and mental registration by the physician. We propose a low-cost, adjustable, handheld guide to assist the operator in aligning the needle in the correct orientation for the injection. METHODS: The operator adjusts the guide to the desired insertion angle as determined by an MRI image. Next, the operator aligns the guide in the image plane using the horizontal laser and level gradient. The needle is inserted into the sleeve of the guide and inserted into the patient. To evaluate the method, two operators inserted 5 needles in two facet joints of a lumbar spine phantom. Insertion points, final points and trajectory angles were compared to the projected needle trajectory using an electromagnetic tracking system. RESULTS: On their first attempt, operators were able to insert the needle into the facet joint 85% of the time. On average, operators had an insertion point error of 2.92 +/- 1.57 mm, a target point error of 3.39 +/- 2.28 mm, and a trajectory error of 3.98 +/- 2.09 degrees. CONCLUSION: A low-cost, adjustable, handheld guide was developed to assist in correctly positioning a needle in MR guided needle interventions. The guide is as accurate as other needle placement assistance mechanisms, including the biplane laser guides and image overlay devices when used in lumbar facet joint injections in phantoms.

关键词： MR-guided interventions spinal injection needle guidance 3D printing

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Bronchoscopy Guidance System Based on Bronchoscope-Motion Measurements

Bronchoscopy Guidance System Based on Bronchoscope-Motion Me...

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conference on medical imaging - image-guided procedures, robotic interventions and modeling

作者： Cornish, Duane C. Higgins, William E. Penn State Univ Dept Comp Sci & Engn University Pk PA 16802 USA

ISBN: (纸本)9780819489654

Bronchoscopy-guidance systems assist physicians during bronchoscope navigation. However, these systems require an attending technician and fail to continuously track the bronchoscope. We propose a real-time technician-free bronchoscopy-guidance system that employs continuous tracking. For guidance, our system presents directions on virtual views that are generated from the bronchoscope's tracked location. The system achieves bronchoscope tracking using a strategy that is based on a recently proposed method for sensor-based bronchoscope-motion tracking. 1 Furthermore, a graphical indicator notifies the physician when he/she has maneuvered the bronchoscope to an incorrect branch. Our proposed system uses the sensor data to generate virtual views through multiple candidate routes and employs image matching in a Bayesian framework to determine the most probable bronchoscope pose. Tests based on laboratory phantoms validate the potential of the system.

关键词： virtual endoscopy virtual bronchoscopy egomotion tracking 3D imaging image-guided bronchoscopy lung cancer 3D pulmonary imaging

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Visualizing the path of blood flow in static vessel images for image guided Surgery of Cerebral Arteriovenous Malformations

Visualizing the path of blood flow in static vessel images f...

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conference on medical imaging - image-guided procedures, robotic interventions and modeling

作者： Chen, Sean Jy-Shyang Kersten-Oertel, Marta Drouin, Simon Collins, D. Louis McGill Univ Montreal Neurol Inst McConnell Brain Imaging Ctr Montreal PQ Canada

ISBN: (纸本)9780819489654

Cerebral arteriovenous malformations (AVMs) are a type of vascular anomaly consisting of large intertwined vascular growth (the nidus) that are prone to serious hemorrhaging and can result in patient death if left untreated. Intervention through surgical clipping of feeding and draining vessels to the nidus is a common treatment. However, identification of which vessels to clip is challenging even to experienced surgeons aided by conventional image guidance systems. In this work, we describe our methods for processing static preoperative angiographic images in order to effectively visualize the feeding and draining vessels of an AVM nidus. Maps from level-set front propagation processing of the vessel images are used to label the vessels by colour. Furthermore, images are decluttered using the topological distances between vessels. In order to aid the surgeon in the vessel clipping decision-making process during surgery, the results are displayed to the surgeon using augmented virtuality.

关键词： Visualization Surgery Arteries Blood circulation image processing Veins Cameras Angiography image segmentation 3D image processing

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Coronary Arteries Motion modeling on 2-D X-ray images

Coronary Arteries Motion Modeling on 2-D X-ray Images

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conference on medical imaging - image-guided procedures, robotic interventions and modeling

作者： Gao, Yang Sundar, Hari Siemens Corp Res Dept Imaging & Visualizat Princeton NJ 08540 USA

ISBN: (纸本)9780819489654

During interventional procedures, 3D imaging modalities like CT and MRI are not commonly used due to interference with the surgery and radiation exposure concerns. Therefore, real-time information is usually limited and building models of cardiac motion are difficult. In such case, vessel motion modeling based on 2-D angiography images become indispensable. Due to issues with existing vessel segmentation algorithms and the lack of contrast in occluded vessels, manual segmentation of certain branches is usually necessary. In addition, such occluded branches are the most important vessels during coronary interventions and obtaining motion models for these can greatly help in reducing the procedure time and radiation exposure. Segmenting different cardiac phases independently does not guarantee temporal consistency and is not efficient for occluded branches required manual segmentation. In this paper, we propose a coronary motion modeling system which extracts the coronary tree for every cardiac phase, maintaining the segmentation by tracking the coronary tree during the cardiac cycle. It is able to map every frame to the specific cardiac phase, thereby inferring the shape information of the coronary arteries using the model corresponding to its phase. Our experiments show that our motion modeling system can achieve promising results with real-time performance.

关键词： Cardiac Angiography Coronary motion modeling motion tracking

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Effect of Uncertainty on Target Registration Error in image-guided Renal interventions: From Simulation to in-vitro Assessment

Effect of Uncertainty on Target Registration Error in Image-...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Jackson, Peter Simon, Richard Linte, Cristian Rochester Inst Technol Ctr Imaging Sci Rochester NY 14623 USA Rochester Inst Technol Dept Biomed Engn Rochester NY 14623 USA

ISBN: (纸本)9781510640269

It is imperative that image-guided intervention (IGI) systems provide accurate and precise navigation information to enable the user to trust the system and not place unwarranted confidence in the guidance capabilities of the system. Unfortunately, the actual error associated with the overall targeting capabilities of an IGI system is not readily known. Here we are primarily interested in the application of image-guided surgery in the context of renal interventions. We built a simulation pipeline to study the uncertainty propagation through an optically tracked IGI system to gain insight into the overall accuracy of the system. Our simulation pipeline models several stages, including stylus calibration, tool tracking, patient tracking, and image to patient registration. In the effort to realistically estimate tracking noise and user-associated fiducial localization error (FLE), we conducted several experiments using the optical tracking system. Our simulation suggested that a wider cone angle results in a more accurate tool calibration, which improves further with the collection of additional samples. Furthermore, our simulations also suggested that the image-to-patient registration was the most significant contributor to navigation uncertainty, followed by the fiducial localization error. Lastly, we also observed a 0.72 correlation between the Target Registration Error (TRE) estimated at target fiducials and the distance between the the centroids of the registration and target fiducial landmarks. To validate the simulation predictions, we also conducted several in vitro experiments using a 3D printed patient specific kidney phantom and compared the simulation-based registration predictions with those observed experimentally in vitro. The experiments confirmed the registration metrics (Fiducial Registration Error and TRE) predicted by the simulations, given several specific combinations of fiducial landmarks used to perform the image to patient registration.

关键词： image-guided Navigation Error Analysis Simulation Registration

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image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy: preliminary results

Image registration between MRI and spot mammograms for X-ray...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Said, S. Clauser, P. Ruiter, N., V Baltzer, P. A. T. Hopp, T. Karlsruhe Inst Technol KIT Inst Data Proc & Elect Karlsruhe Germany Med Univ Vienna Dept Biomed Imaging & Image Guided Therapy Vienna Austria

ISBN: (纸本)9781510640269

Breast cancer is the most common cancer type among women. Approximately 40,000 women are expected to die from breast cancer every year. While digital mammography has a central role in the early diagnosis of breast cancer, many cancers are not visible in mammography, for example in women with dense breast tissue. Contrast enhanced magnetic resonance imaging (CE-MRI) of the breast is often used to detect lesions not visible in mammography. Lesions with suspicious characteristics on CE-MRI need to be further assessed with MRI-guided biopsy. However, MRI-guided biopsy is expensive, time consuming, and not widely available. In this paper, a novel method for a matching tool between MRI and spot mammograms is proposed. Our aim is to transfer information that is only visible in MRI onto mammographic spot projections, to enable X-ray guided biopsy even if the lesion is only visible in MRI. Two methods of registration in combination are used;a biomechanical model based registration between MRI and full view X-ray mammograms and a subsequent image based registration between full mammograms and spot mammograms. Preliminary results assessed for one patient from the medical University of Vienna are presented. The target registration error (TRE) of biomechanical model based registration is 2.4 mm and the TRE of the image based registration is 9.5 mm. The total TRE of the two steps is 7.3 mm.

关键词： Biomechanical Model Based Registration image Based Registration Magnetic Resonance imaging Full Mammograms Spot Mammograms

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image Guidance Improves Localization of Sonographically Occult Colorectal Liver Metastases

Image Guidance Improves Localization of Sonographically Occu...

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Leung, Universe Simpson, Amber L. Adams, Lauryn B. Jarnagin, William R. Miga, Michael I. Kingham, T. Peter Mem Sloan Kettering Canc Ctr Dept Surg New York NY 10021 USA Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA

ISBN: (纸本)9781628415056

Assessing the therapeutic benefit of surgical navigation systems is a challenging problem in image-guided surgery. The exact clinical indications for patients that may benefit from these systems is not always clear, particularly for abdominal surgery where image-guidance systems have failed to take hold in the same way as orthopedic and neurosurgical applications. We report interim analysis of a prospective clinical trial for localizing small colorectal liver metastases using the Explorer system (Pathfinder Technologies, Nashville, TN). Colorectal liver metastases are small lesions that can be difficult to identify with conventional intraoperative ultrasound due to echogeneity changes in the liver as a result of chemotherapy and other preoperative treatments. Interim analysis with eighteen patients shows that 9 of 15 (60%) of these occult lesions could be detected with image guidance. image guidance changed intraoperative management in 3 (17%) cases. These results suggest that image guidance is a promising tool for localization of small occult liver metastases and that the indications for image-guided surgery are expanding.

关键词： Liver Tumors Surgery image-guided intervention Ultrasonography 3D modeling Colorectal cancer Cancer Clinical trials Liver cancer

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Towards Real-time Remote Processing of Laparoscopic Video

Towards Real-time Remote Processing of Laparoscopic Video

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conference on medical imaging - image-guided procedures, robotic interventions, and modeling

作者： Ronaghi, Zahra Duffy, Edward B. Kwartowitz, David M. Clemson Univ Dept Bioengn Clemson SC 29634 USA Clemson Univ Clemson Comp & Informat Technol Clemson SC USA

ISBN: (纸本)9781628415056

Laparoscopic surgery is a minimally invasive surgical technique where surgeons insert a small video camera into the patient's body to visualize internal organs and small tools to perform surgical procedures. However, the benefit of small incisions has a drawback of limited visualization of subsurface tissues, which can lead to navigational challenges in the delivering of therapy. image-guided surgery (IGS) uses images to map subsurface structures and can reduce the limitations of laparoscopic surgery. One particular laparoscopic camera system of interest is the vision system of the daVinci-Si robotic surgical system (Intuitive Surgical, Sunnyvale, CA, USA). The video streams generate approximately 360 megabytes of data per second, demonstrating a trend towards increased data sizes in medicine, primarily due to higher-resolution video cameras and imaging equipment. Processing this data on a bedside PC has become challenging and a high-performance computing (HPC) environment may not always be available at the point of care. To process this data on remote HPC clusters at the typical 30 frames per second (fps) rate, it is required that each 11.9 MB video frame be processed by a server and returned within 1/30th of a second. The ability to acquire, process and visualize data in real-time is essential for performance of complex tasks as well as minimizing risk to the patient. As a result, utilizing high-speed networks to access computing clusters will lead to real-time medical image processing and improve surgical experiences by providing real-time augmented laparoscopic data. We aim to develop a medical video processing system using an Open Flow software defined network that is capable of connecting to multiple remote medical facilities and HPC servers.

关键词： Laparoscopy image-guided Surgery medical imaging High-performance Computing Computer Networks

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