Medical Imaging: Image-Guided Procedures最新文献_第2页

Image registration with deep probabilistic classifiers: application in radiation therapy 基于深度概率分类器的图像配准在放射治疗中的应用

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549775

A. Sedghi, G. Salomons, J. Jutras, J. Gooding, L. Schreiner, W. Wells, P. Mousavi

引用次数: 0

Evaluation of real-time guidewire navigation using virtual endoscopic 4D fluoroscopy 虚拟内窥镜4D透视实时导丝导航的评价

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549683

B. Davis, M. Wagner, S. Periyasamy, C. Mistretta, C. Strother, P. Laeseke, M. Speidel

{"title":"Evaluation of real-time guidewire navigation using virtual endoscopic 4D fluoroscopy","authors":"B. Davis, M. Wagner, S. Periyasamy, C. Mistretta, C. Strother, P. Laeseke, M. Speidel","doi":"10.1117/12.2549683","DOIUrl":"https://doi.org/10.1117/12.2549683","url":null,"abstract":"4D fluoroscopy is a method for real-time 3D visualization of endovascular devices using biplane fluoroscopy. Frame-byframe (15 fps) 4D reconstructions of the device are overlayed on 3D vascular anatomy derived from 3D-DSA. We describe a 4D-assisted guidance platform that provides virtual endoscopic renderings of blood vessels and report on its use for navigating guidewires in a patient-specific vascular phantom. The 4D-assisted platform provides two 4D display modes plus conventional 2D fluoroscopy. Virtual endoscopic 4D mode shows a real-time view of the guidewire tip and the downstream vessel with a viewpoint inside the vessel. Path-planning highlights the target vessel branches. External 4D display mode provides an external rotatable viewpoint of the device and vasculature. In a phantom study, operators navigated a guidewire through branches of a 3D-printed phantom. Performance was compared to navigation with 2D fluoroscopy alone. Operators rated the degree to which they used the 2D and 4D display modes on a Likert scale (1-never, 5-almost always). Quantitative imaging metrics were obtained from processed video recordings. Three users completed 15 of 15 challenges with 4D-assisted display, whereas the 2D-only guidance completion rate was 13/15. With both 2D and 4D displays available, users reported using the 2D display never-to-sometimes (median score = 2) and 4D display often or almost always (median = 5). The virtual endoscopic viewpoint was utilized more frequently than the external viewpoint. 4D fluoroscopy with virtual endoscopic display provides a new and potentially useful mode for visualization of guidewire and catheter manipulations in complex vascular anatomy.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"649 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115831377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Infrared image-guidance for intraoperative assessment of limb length discrepancy during total hip arthroplasty procedures 全髋关节置换术中肢体长度差异评估的红外图像引导

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2548860

Jerry Yan, Akash Chaurasia, Hannah Takasuka, Aditi Jithendra, Claire State, K. McCarren, Robert Li, Evan Bender, M. Hill, T. Benassi, J. Oni, A. Manbachi

引用次数: 0

Workflow for creation and evaluation of virtual nephrolithotomy training models 虚拟肾镜取石训练模型的创建与评估工作流程

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549354

Catherine O. Wu, K. Sunderland, M. Filippov, B. Sainsbury, G. Fichtinger, T. Ungi

{"title":"Workflow for creation and evaluation of virtual nephrolithotomy training models","authors":"Catherine O. Wu, K. Sunderland, M. Filippov, B. Sainsbury, G. Fichtinger, T. Ungi","doi":"10.1117/12.2549354","DOIUrl":"https://doi.org/10.1117/12.2549354","url":null,"abstract":"PURPOSE: Virtual reality (VR) simulation is an effective training system for medical residents, allowing them to gain and improve upon surgical skills in a realistic environment while also receiving feedback on their performance. Percutaneous nephrolithotomy is the most common surgical treatment for the removal of renal stones. We propose a workflow to generate 3D soft tissue and bone models from computed tomography (CT) images, to be used and validated in a VR nephrolithotomy simulator. METHODS: Venous, delay, non-contrast, and full body CT scans were registered and segmented to generate 3D models of the abdominal organs, skin, and bone. These models were decimated and re-meshed into low-polygon versions while maintaining anatomical accuracy. The models were integrated into a nephrolithotomy simulator with haptic feedback and scoring metrics. Urology surgical experts assessed the simulator and its validity through a questionnaire based on a 5-point Likert scale. RESULTS: The workflow produced soft tissue and bone models from patient CT scans, which were integrated into the simulator. Surgeon responses indicated level 3 and above for face validity and level 4 and above for all other aspects of medical simulation validity: content, construct, and criterion. CONCLUSION: We designed an effective workflow to generate 3D models from CT scans using open source and modelling software. The low resolution of these models allowed integration in a VR simulator for visualization and haptic feedback, while anatomical accuracy was maintained.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121531000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Towards electromagnetic tracking of J-tip guidewire: precision assessment of sensors during bending tests j尖导丝的电磁跟踪:弯曲试验中传感器的精度评估

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549764

Roberta Piazza, Hareem Nisar, John Moore, S. Condino, M. Ferrari, V. Ferrari, T. Peters, E. Chen

引用次数: 3

Stabilized ultrasound imaging of a moving object using 2D B-mode images and convolutional neural network 利用二维b模式图像和卷积神经网络稳定运动物体的超声成像

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2550198

Tian Xie, M. Shahbazi, Yixuan Wu, R. Taylor, E. Boctor

引用次数: 0

The image-to-physical liver registration sparse data challenge: characterizing inverse biomechanical model resolution 图像到物理肝脏配准稀疏数据的挑战：逆生物力学模型分辨率的特征描述

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2550535

Jon S. Heiselman, M. Miga

{"title":"The image-to-physical liver registration sparse data challenge: characterizing inverse biomechanical model resolution","authors":"Jon S. Heiselman, M. Miga","doi":"10.1117/12.2550535","DOIUrl":"https://doi.org/10.1117/12.2550535","url":null,"abstract":"Image-guided liver surgery relies on intraoperatively acquired data to create an accurate alignment between image space and the physical patient anatomy. Often, sparse data of the anterior liver surface can be collected for these registrations. However, achieving accurate registration to sparse surface data when soft tissue deformation is present remains a challenging open problem. While many approaches have been developed, a common standard for comparing algorithm performance has yet to be adopted. The image-to-physical liver registration sparse data challenge offers a publicly available dataset of realistic sparse data patterns collected on a deforming liver phantom for the purpose of evaluating and comparing potential registration approaches. Additionally, the challenge is designed to allow testing and characterization of these methods as a general utility for the registration community. Using this challenge environment, an inverse biomechanical method for deformable registration to sparse data was investigated with respect to how whole-organ target registration error (TRE) is impacted by a model parameter that controls the spatial reconstructive resolution of mechanical loads applied to the organ. For this analysis, this resolution parameter was varied across a wide range of values and TRE was calculated from the challenge dataset. An optimal parameter value for model resolution was found and average TRE across the 112 sparse data challenge cases was reduced to 3.08 ± 0.85 mm, an approximate 32% improvement over previously reported results. The value of the data offered by the sparse data challenge is evident. This work was performed entirely using information automatically generated by the challenge submission and processing site.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":" 9","pages":"113151F"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141222603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Image-based extraction of breathing signal from cone-beam CT projections 基于图像的锥束CT呼吸信号提取

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2550462

Shafiya Sabah, S. Dhou

引用次数: 2

Multi-destination procedure planning for comprehensive lymph node staging bronchoscopy 支气管镜综合淋巴结分期的多终点手术计划

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2542851

T. Kuhlengel, W. Higgins

引用次数: 0

Validation of a metal artifact reduction method based on 3D conditional GANs for CT images of the ear 基于三维条件gan的耳CT图像金属伪影还原方法的验证

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549398

Jianing Wang, Srijata Chakravorti, Yiyuan Zhao, J. Noble, B. Dawant

引用次数: 1