Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization最新文献_第6页

A systematic analysis and review of COVID-19 detection techniques using CT image 新冠肺炎CT图像检测技术的系统分析与综述

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-08 DOI: 10.1080/21681163.2023.2219750

J. Ameera Beegom, T. Brindha

引用次数: 0

Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm 基于机器学习的修正元启发式和加权梯度增强算法的癌症预后

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-05 DOI: 10.1080/21681163.2023.2219772

P. Saranya, P. Asha

引用次数: 0

Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier 基于sho的深度神经网络分类器对COVID-19疾病的检测与分类

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-05 DOI: 10.1080/21681163.2023.2219767

Vanshika Rastogi, A. Jain

引用次数: 0

Brain tumor classification based on deep CNN and modified butterfly optimization algorithm 基于深度CNN和改进蝴蝶优化算法的脑肿瘤分类

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-02 DOI: 10.1080/21681163.2023.2219754

Dr.Vinodkumar Jacob, G. Sagar, Kavita Goura, P. S. S. Pedalanka

引用次数: 0

Deep learning for few-shot white blood cell image classification and feature learning 基于深度学习的少量白细胞图像分类与特征学习

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-01 DOI: 10.1080/21681163.2023.2219341

Yixiang Deng, He Li

引用次数: 2

Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualization of Bone Defects. 将术前磁共振成像与术中透视图像进行二维/三维配准，实现骨缺损的可视化。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-01-01 Epub Date: 2022-12-15 DOI: 10.1080/21681163.2022.2152375

Ping-Cheng Ku, Alejandro Martin-Gomez, Cong Gao, Robert Grupp, Simon C Mears, Mehran Armand

{"title":"Towards 2D/3D Registration of the Preoperative MRI to Intraoperative Fluoroscopic Images for Visualization of Bone Defects.","authors":"Ping-Cheng Ku, Alejandro Martin-Gomez, Cong Gao, Robert Grupp, Simon C Mears, Mehran Armand","doi":"10.1080/21681163.2022.2152375","DOIUrl":"10.1080/21681163.2022.2152375","url":null,"abstract":"Magnetic Resonance Imaging (MRI) is a medical imaging modality that allows for the evaluation of soft-tissue diseases and the assessment of bone quality. Preoperative MRI volumes are used by surgeons to identify defected bones, perform the segmentation of lesions, and generate surgical plans before the surgery. Nevertheless, conventional intraoperative imaging modalities such as fluoroscopy are less sensitive in detecting potential lesions. In this work, we propose a 2D/3D registration pipeline that aims to register preoperative MRI with intraoperative 2D fluoroscopic images. To showcase the feasibility of our approach, we use the core decompression procedure as a surgical example to perform 2D/3D femur registration. The proposed registration pipeline is evaluated using digitally reconstructed radiographs (DRRs) to simulate the intraoperative fluoroscopic images. The resulting transformation from the registration is later used to create overlays of preoperative MRI annotations and planning data to provide intraoperative visual guidance to surgeons. Our results suggest that the proposed registration pipeline is capable of achieving reasonable transformation between MRI and digitally reconstructed fluoroscopic images for intraoperative visualization applications.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406464/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10093566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mixed Reality Interfaces for Achieving Desired Views with Robotic X-ray Systems. 利用机器人 X 射线系统实现所需视角的混合现实界面

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-01-01 Epub Date: 2022-12-07 DOI: 10.1080/21681163.2022.2154272

Benjamin D Killeen, Jonas Winter, Wenhao Gu, Alejandro Martin-Gomez, Russell H Taylor, Greg Osgood, Mathias Unberath

{"title":"Mixed Reality Interfaces for Achieving Desired Views with Robotic X-ray Systems.","authors":"Benjamin D Killeen, Jonas Winter, Wenhao Gu, Alejandro Martin-Gomez, Russell H Taylor, Greg Osgood, Mathias Unberath","doi":"10.1080/21681163.2022.2154272","DOIUrl":"10.1080/21681163.2022.2154272","url":null,"abstract":"Robotic X-ray C-arm imaging systems can precisely achieve any position and orientation relative to the patient. Informing the system, however, what pose exactly corresponds to a desired view is challenging. Currently these systems are operated by the surgeon using joysticks, but this interaction paradigm is not necessarily effective because users may be unable to efficiently actuate more than a single axis of the system simultaneously. Moreover, novel robotic imaging systems, such as the Brainlab Loop-X, allow for independent source and detector movements, adding even more complexity. To address this challenge, we consider complementary interfaces for the surgeon to command robotic X-ray systems effectively. Specifically, we consider three interaction paradigms: (1) the use of a pointer to specify the principal ray of the desired view relative to the anatomy, (2) the same pointer, but combined with a mixed reality environment to synchronously render digitally reconstructed radiographs from the tool's pose, and (3) the same mixed reality environment but with a virtual X-ray source instead of the pointer. Initial human-in-the-loop evaluation with an attending trauma surgeon indicates that mixed reality interfaces for robotic X-ray system control are promising and may contribute to substantially reducing the number of X-ray images acquired solely during \"fluoro hunting\" for the desired view or standard plane.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406465/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10344171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging. 量化和可视化心电图成像中源定位的不确定性。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-01-01 Epub Date: 2022-09-12 DOI: 10.1080/21681163.2022.2113824

Dennis K Njeru, Tushar M Athawale, Jessie J France, Chris R Johnson

引用次数: 1

A Tool-free Neuronavigation Method based on Single-view Hand Tracking. 基于单视角手部跟踪的免工具神经导航方法

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-01-01 Epub Date: 2022-12-28 DOI: 10.1080/21681163.2022.2163428

Fryderyk Victor Kögl, Étienne Léger, Nazim Haouchine, Erickson Torio, Parikshit Juvekar, Nassir Navab, Tina Kapur, Steve Pieper, Alexandra Golby, Sarah Frisken

{"title":"A Tool-free Neuronavigation Method based on Single-view Hand Tracking.","authors":"Fryderyk Victor Kögl, Étienne Léger, Nazim Haouchine, Erickson Torio, Parikshit Juvekar, Nassir Navab, Tina Kapur, Steve Pieper, Alexandra Golby, Sarah Frisken","doi":"10.1080/21681163.2022.2163428","DOIUrl":"10.1080/21681163.2022.2163428","url":null,"abstract":"This work presents a novel tool-free neuronavigation method that can be used with a single RGB commodity camera. Compared with freehand craniotomy placement methods, the proposed system is more intuitive and less error prone. The proposed method also has several advantages over standard neuronavigation platforms. First, it has a much lower cost, since it doesn't require the use of an optical tracking camera or electromagnetic field generator, which are typically the most expensive parts of a neuronavigation system, making it much more accessible. Second, it requires minimal setup, meaning that it can be performed at the bedside and in circumstances where using a standard neuronavigation system is impractical. Our system relies on machine-learning-based hand pose estimation that acts as a proxy for optical tool tracking, enabling a 3D-3D pre-operative to intra-operative registration. Qualitative assessment from clinical users showed that the concept is clinically relevant. Quantitative assessment showed that on average a target registration error (TRE) of 1.3cm can be achieved. Furthermore, the system is framework-agnostic, meaning that future improvements to hand-tracking frameworks would directly translate to a higher accuracy.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10348700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9821499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interactive, in-browser cinematic volume rendering of medical images. 交互式、浏览器内电影式医学影像体积渲染。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-01-01 Epub Date: 2022-11-18 DOI: 10.1080/21681163.2022.2145239

Jiayi Xu, Gaspard Thevenon, Timothee Chabat, Matthew McCormick, Forrest Li, Tom Birdsong, Ken Martin, Yueh Lee, Stephen Aylward

{"title":"Interactive, in-browser cinematic volume rendering of medical images.","authors":"Jiayi Xu, Gaspard Thevenon, Timothee Chabat, Matthew McCormick, Forrest Li, Tom Birdsong, Ken Martin, Yueh Lee, Stephen Aylward","doi":"10.1080/21681163.2022.2145239","DOIUrl":"10.1080/21681163.2022.2145239","url":null,"abstract":"The diversity and utility of cinematic volume rendering (CVR) for medical image visualization have grown rapidly in recent years. At the same time, volume rendering on augmented and virtual reality systems is attracting greater interest with the advance of the WebXR standard. This paper introduces CVR extensions to the open-source visualization toolkit (vtk.js) that supports WebXR. This paper also summarizes two studies that were conducted to evaluate the speed and quality of various CVR techniques on a variety of medical data. This work is intended to provide the first open-source solution for CVR that can be used for in-browser rendering as well as for WebXR research and applications. This paper aims to help medical imaging researchers and developers make more informed decision when selecting CVR algorithms for their applications. Our software and this paper also provide a foundation for new research and product development at the intersection of medical imaging, web visualization, XR, and CVR.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292767/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9781799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3