检索结果-内蒙古大学图书馆

medical imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Said, S. Clauser, P. Ruiter, N.V. Baltzer, P.A.T. Hopp, T. Karlsruhe Germany Medical University of Vienna Vienna Austria

ISBN: (纸本)9781510660373

The most typical type of cancer among women is breast cancer. Despite the crucial role that digital mammography plays in the early identification of breast cancer, many tumors could not be discriminated on mammography, especially in women with dense breast tissue. Contrast-enhanced magnetic resonance imaging (CE-MRI) of the breast is routinely used to find lesions that are invisible on mammography. MRI-guided biopsies must be used to further analyze these lesions. But MRI-guided biopsy is highly priced, time-consuming, and not frequently accessible. In our earlier work, we introduced a novel method using two methods of registration: biomechanical and image-based registration to transfer lesions from MRI to spot mammograms to allow X-ray guided biopsy. In this paper, we focus on enhancing and developing the image-based registration between full and spot mammograms and analyzing a correlation between the accuracy of our method and features such as views, location of lesion, breast area, size of lesion in each modality, and age. Results for 48 patients from the medical University of Vienna are provided. The median target registration error is 20.9 mm and the standard deviation is 23.9 mm. © 2023 SPIE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Evaluation of a Perineal Access Device for MRI-guided Prostate interventions

Evaluation of a Perineal Access Device for MRI-Guided Prosta...

引用

medical imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Foroughi, Pezhman Rajan, Purnima Hoßbach, Martin Demir, Alican Hämmelmann, Jan Harlan, Kenny Mushtaq, Aliza Mynderse, Lance A. Woodrum, David A. Clear Guide Medical BaltimoreMD United States Mayo Clinic RochesterMN United States

ISBN: (纸本)9781510660373

This paper describes a perineal access tool for MRI-guided prostate interventions and evaluates it using a phantom study. The development of this device has been driven by the clinical need and a close collaboration effort. The device seamlessly fits into the workflow of MRI-guided prostate procedures such as cryoablation and biopsies. It promises a significant cut in the procedure time, accurate needle placement, lower number of insertions, and a potential for better patient outcomes. The current embodiment includes a frame which is placed next to the perineum and incorporates both visual and MRI-visible markers. These markers are automatically detected both in MRI and by a pair of stereo cameras (optical head) allowing for automatic optical registration. The optical head illuminates the procedure area and can track instruments and ultrasound probes. The frame has a window to access the perineum. Multiple swappable grids may be placed in this window depending on the application. It is also possible to entirely remove the grid for freehand procedures. All the components are designed to be used inside the MRI suite. To test this system, we built a custom phantom with MRI visible targets and planned 21 needle insertions with three grid types using the SCENERGY software. With an average insertion depth of about 85 mm, the average error of needle tip placement was 2.74 mm. We estimated the error by manually segmenting the needle tip in post-insertion MRIs of the phantom and comparing that to the plan. © 2023 SPIE.

关键词： Biopsy

来源：评论

学校读者我要写书评

暂无评论

medical imaging 2020: image-guided procedures, robotic interventions, and modeling

Medical Imaging 2020: Image-Guided Procedures, Robotic Inter...

引用

medical imaging 2020: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510633971

The proceedings contain 104 papers. The topics discussed include: automatic labeling of respiratory phases and detection of abnormal respiratory signals in free-breathing thoracic dynamic MR image acquisitions based on deep learning;image-based deformable motion compensation in cone-beam CT: translation to clinical studies in interventional body radiology;stabilized ultrasound imaging of a moving object using 2D B-mode images and convolutional neural network;infrared image-guidance for intraoperative assessment of limb length discrepancy during total hip arthroplasty procedures;three-dimensional ultrasound for monitoring knee inflammation and cartilage damage in osteoarthritis and rheumatoid arthritis;multi-body registration for fracture reduction in orthopedic trauma surgery;and calibration and registration of a freehand video-guided surgical drill for orthopedic trauma.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A High-Speed Hyperspectral Laparoscopic imaging System

A High-Speed Hyperspectral Laparoscopic Imaging System

引用

medical imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Pruitt, Kelden Johnson, Brett Gahan, Jeffrey Ma, Ling Fei, Baowei Department of Bioengineering University of Texas at Dallas RichardsonTX United States Center for Imaging and Surgical Innovation University of Texas at Dallas RichardsonTX United States University of Texas Southwestern Medical Center Department of Urology DallasTX United States University of Texas Southwestern Medical Center Department of Radiology DallasTX United States

ISBN: (纸本)9781510660373

Minimally invasive surgery (MIS) has expanded broadly in the field of abdominal and pelvic surgery. Laparoscopic and robotic surgery has improved surgeon ergonomics, instrument precision, operative time, and postoperative recovery across various abdominal procedures. The goal of this study is to establish the feasibility of implementing high-speed hyperspectral imaging into a standard laparoscopic setup and exploring its benefit to common intracorporeal procedures. A hyperspectral laparoscopic imaging system was constructed using a customized hyperspectral camera alongside a standard rigid laparoscope and was validated for both spectral and spatial accuracy. Demosaicing methods were investigated for improved full-resolution visualization. Hyperspectral cameras with different spectral ranges were considered and compared with one another alongside two different light sources to determine the most effective configuration. Finally, different porcine tissues were imaged ex-vivo to test the capabilities of the system and spectral footprints of the various tissues were extracted. The tissue was also imaged in a phantom to simulate the system's use in MIS. The results demonstrated a hyperspectral laparoscopic imaging system that could provide quantitative, diagnostic information while not disrupting normal workflow nor adding excessive weight to the laparoscopic setup. The high-speed hyperspectral laparoscopic imaging system can have immediate applications in image-guided surgery. © 2023 SPIE.

关键词： imaging systems

来源：评论

学校读者我要写书评

暂无评论

Intra-Operative 3-D modeling of Side Branch Vessels for IVUS-guided Catheter Navigation

IEEE Transactions on Medical Robotics and Bionics

引用

IEEE Transactions on medical robotics and Bionics 2025年第2期7卷 443-454页

作者： Farola Barata, Beatriz Beckers, Wim-Alexander Borghesan, Gianni Dall'Alba, Diego Bennett, Johan McCutcheon, Keir Fiorini, Paolo Vander Sloten, Jos Vander Poorten, Emmanuel KU Leuven Robot-Assisted Surgery Group Department of Mechanical Engineering Leuven3001 Belgium University of Verona Altair Robotics Laboratory Department of Computer Science Verona Verona37129 Italy Flanders Make KU Leuven Leuven3001 Belgium KU Leuven Department of Cardiovascular Sciences Leuven3000 Belgium UZ Leuven Department of Cardiovascular Diseases Leuven3000 Belgium

Despite continuous advances in three-dimensional (3D) fusion imaging, two-dimensional (2D) X-ray-based fluoroscopy is still the gold standard intra-operative image guidance tool in endovascular interventions. The adoption of robotic technology offers the potential to bring intra-operative radiation exposure down to a minimum, or even eliminate it. Non ionizing approaches, such as Intravascular Ultrasound (IVUS), are progressively explored as standalone or fluoroscopy-adjunct techniques for 3D vasculature reconstruction. We have previously demonstrated the feasibility of real-time 3D Main Vessel (MV) modeling from the fusion of IVUS and EM pose data obtained from sensors embedded at the tip of a robotic catheter. This paper proposes to advance MV modeling towards a comprehensive radiation-free 3D guidance framework by means of intra operative Side Branch (SB) detection and modeling. Two models are proposed to approximate the geometry of SB vessel ostia: a sphere and a cylinder. An Unscented Kalman Filter (UKF) recursively estimates the state of these models considering the MV model, while the catheters navigates through the vessel. In silico and in vitro validation results show the potential clinical value of the proposed strategy for facilitating safer robotic catheter steering. © 2018 IEEE.

关键词： medical robotics

来源：评论

学校读者我要写书评

暂无评论

Design Considerations for robotic, MRI-guided, Trans-Foramen Ovale Access to the Brain

Design Considerations for Robotic, MRI-Guided, Trans-Foramen...

引用

medical imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Grillo, Abby M. Peters, John E. Esser, Daniel S. Garrow, Sarah J. Ball, Tyler Naftel, Robert Englot, Dario J. Neimat, Joseph Grissom, William A. Barth, Eric J. Webster, Robert J. Department of Mechanical Engineering Vanderbilt University NashvilleTN United States Department of Biomedical Engineering Vanderbilt University NashvilleTN United States Department of Neurological Surgery Vanderbilt University Medical Center NashvilleTN United States Department of Neurological Surgery University of Louisville LouisvilleKY United States

ISBN: (纸本)9781510660373

This paper advances a new paradigm of minimally invasive neurosurgical interventions through skull foramina, which promise to improve patient outcomes by reducing postoperative pain and recovery times, and perhaps even complication rates. The foramen ovale, a small opening in the base of the skull, is currently used to insert recording electrodes into the brain for diagnosing epilepsy and as a pathway for ablating the trigeminal nerve for facial pain. An MRI-compatible robotic platform to position neurosurgical tools along a prescribed trajectory through the foramen ovale can enable access to deep brain targets for diagnosis or intervention. In this paper, we describe design goals and constraints, determined both heuristically and empirically, for such a robotic system. These include the space available within the scanner around the patient, the set of possible needle angles of approach to the foramen ovale, patient positioning options within the scanner, and the force needed to tilt the needle to desired angles. These design considerations can be used to inform future work on the design of MRI-conditional robots to access the brain through the foramen ovale. © 2023 SPIE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Comparison study of sparse data-driven soft tissue registration: Preliminary results from the image-to-physical liver registration sparse data challenge

Comparison study of sparse data-driven soft tissue registrat...

引用

medical imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Heiselman, Jon S. Collins, Jarrod A. Ringel, Morgan J. Jarnagin, William R. Miga, Michael I. Department of Biomedical Engineering Vanderbilt University NashvilleTN United States Vanderbilt Institute for Surgery and Engineering Vanderbilt University NashvilleTN United States Department of Surgery Hepatopancreatobiliary Service Memorial Sloan Kettering Cancer Center New YorkNY United States

ISBN: (纸本)9781510660373

The ability to accurately account for intraoperative soft tissue deformations has been a longstanding barrier to efficacious translation of image-guided frameworks into abdominal interventions. In surgical applications, few data acquisition systems are amenable to stringent operative workflow constraints, and many are too costly for widespread adoption. Consequently, computational methods for surgical guidance based on sparse data obtained over the organ surface have become prevalent within approaches for image-to-patient alignment of soft tissue. However, the sparse data environment presents an especially challenging algorithmic landscape for accurately inferring deformable anatomical alignments between preoperative and intraoperative organ states from incomplete information sources. This work, presented as a preliminary conclusion to the image-to-physical liver registration sparse data challenge introduced at SPIE medical imaging 2019, seeks to characterize the potential for sparse data registration algorithms to achieve high fidelity predictions of intraoperative organ deformations from sparse descriptors of organ surface shape. A total of seven rigid and nonrigid biomechanical and deep learning registration techniques are compared, and the findings suggest that the family of biomechanically simulated boundary condition reconstruction techniques offers a promising opportunity for accurately estimating intraoperative organ deformation states from sparse intraoperative point clouds. Over a common dataset of 112 registration scenarios, this family of deformable registration techniques was found to outperform globally optimal rigid registrations, was robust to varying degrees of surface data coverage, and maintained good performance under added sources of measurement noise. Further analysis investigates error correlations among methods to illuminate sparse data performance within state-of-the-art image-to-physical registration algorithms. © 2023 SPIE.

关键词： medical imaging

来源：评论

学校读者我要写书评

暂无评论

Assessing and reducing registration and targeting uncertainty in video-based image-guided renal navigation: An in vitro study featuring virtual targets

Assessing and reducing registration and targeting uncertaint...

引用

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

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

ISBN: (纸本)9781510649446;9781510649439

Minimally invasive image-guided interventions (IGIs) enable better therapy outcomes for patients, but navigation accuracy is highly dependent on the accuracy of the image-/model-to-patient registration. This requires methods to reduce the uncertainty to a level appropriate for the procedure being performed. Since sub-surface tissue landmarks cannot be easily sampled using a tracked stylus and used to perform the patient registration, here we present a method that employs a tracked camera (that mimics a laparoscope) to perform the patient registration or update this registration in case of suspected misalignment within the context of an image-guided renal navigation procedure. We implement and test the method using a simplified patient phantom, which consists of a foam block to which a virtual kidney model featuring both surface and sub-surface landmarks is registered. This setup mimics a situation when a surgeon would navigate a tracked needle to renal landmarks percutaneously, while relying on pre-procedural imaging, optical tracking, and surface video imaging. We conduct several experiments under both optimal phantom registration and purposely altered registration, to not only show the effect of phantom / patient mis-registration on subsequent navigation, but also demonstrate the use of the camera-based registration to restore navigation to an acceptable uncertainty. Our results illustrate that camera-based registration yields a target registration error on the order of 0.4 mm and a subsequent targeting error on the order of 0.6 mm, comparable to the performance achieved following gold-standard landmark-based registration. These results suggest that the proposed method can be used to perform or update the patient registration for image-guided interventions involving sub-surface organs.

关键词： image-guided Navigation Error Analysis Simulation Registration

来源：评论

学校读者我要写书评

暂无评论

modeling Retraction for Breast Conserving Surgery Guidance

Modeling Retraction for Breast Conserving Surgery Guidance

引用

medical imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Espinosa, Amairanny Ringel, Morgan J. Heiselman, Jon S. Pereira, Kyvia Servin, Frankangel Richey, Winona L. Meszoely, Ingrid Miga, Michael I. Department of Mechanical Engineering Tennessee State University TN United States Department of Biomedical Engineering Vanderbilt University NashvilleTN United States Vanderbilt Institute for Surgery and Engineering NashvilleTN United States Department of Surgery Hepatopancreatobiliary Service Memorial Sloan Kettering Cancer Center New YorkNY United States Vanderbilt University Medical Center Division of Surgical Oncology NashvilleTN United States

ISBN: (纸本)9781510660373

Breast conserving surgery is a common treatment option for early-stage breast cancer, and it relies on complete tumor excision such that no residual cancer is left in the resection cavity. However, the use of preoperative imaging to inform excision is compromised by intraoperative deformations that change the location, volume, and shape of the tumor compared to the imaging configuration. For intra-procedural guidance specifically, incision and retraction alter the tumor presentation and geometry. Being able to compensate for retraction deformations intraoperatively may increase the utility of image guidance technologies. In this work, a breast retraction phantom and deformation modeling approach are developed to explore the potential of modeling retraction for image guidance during BCS. Surface and subsurface beads were embedded in a realistic silicone breast phantom, and CT images were acquired in undeformed and retracted states. A reconstructive, sparse-data registration method was used to model retraction. modeling accuracy was evaluated by comparing model-predicted and ground-truth bead displacements. The average surface bead registration error after retraction modeling in a region of interest was 0.5 ± 0.1 mm (maximum 0.5 mm). The average subsurface bead registration error in a region of interest was 1.2 ± 0.6 mm (maximum 2.6 mm). A biomechanical modeling method that includes retraction may improve the accuracy of image guidance for breast conserving surgery, but more work is needed to evaluate its utility. © 2023 SPIE.

关键词： Tumors

来源：评论

学校读者我要写书评

暂无评论

Hyperspectral imaging and Detection Mapping of In vivo Biological Tissues Applying Near-Infrared Laparoscope

Hyperspectral Imaging and Detection Mapping of In vivo Biolo...

引用

medical imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Fukushima, R. Takamatsu, T. Mori, A. Sato, K. Okubo, K. Umezawa, M. Takeshita, N. Hasegawa, H. Yokota, H. Soga, K. Takemura, H. Dept. Mechanical Eng. Faculty of Sci. Tech. Tokyo Univ. Sci. Chiba Japan EPOC National Cancer Center Chiba Kashiwa Japan Dept. Materials Sci. and Tech. Tokyo Univ. Sci. Katsushika Tokyo Japan RIKEN Center for Advanced Photonics Saitama Wako Japan

ISBN: (纸本)9781510660373

Two main features of Near-infrared (NIR) light are the ability to perform component analysis based on spectral differences and to have permeability to biological tissues. These features make the technology to acquire NIR spectral of the deep lesion and analyze the components by each pixel, called hyperspectral imaging (HSI). Mounting this technology to a laparoscope enables visualization of invisible or looking-similar tissues in visible light during laparoscopic surgery. In this research, the developed NIR-HSI laparoscopic device acquired NIR spectrum images on in vivo pig specimens. Through the experiments, the difference in spectrum between the artery and surrounding other tissues was confirmed. Additionally, a machine learning procedure provided high accuracy detection of the artery area;accuracy, precision, and recall are 0.868 %, 0.921 %, and 0.637 % respectively. © 2023 SPIE.

关键词： Hyperspectral imaging

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：