Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization最新文献_第8页

A statistical framework for quantification and visualisation of positional uncertainty in deep brain stimulation electrodes. 脑深部刺激电极位置不确定性的量化和可视化统计框架。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2019-01-01 Epub Date: 2018-10-09 DOI: 10.1080/21681163.2018.1523750

Tushar M Athawale, Kara A Johnson, Christopher R Butson, Chris R Johnson

{"title":"A statistical framework for quantification and visualisation of positional uncertainty in deep brain stimulation electrodes.","authors":"Tushar M Athawale, Kara A Johnson, Christopher R Butson, Chris R Johnson","doi":"10.1080/21681163.2018.1523750","DOIUrl":"https://doi.org/10.1080/21681163.2018.1523750","url":null,"abstract":"Deep brain stimulation (DBS) is an established therapy for treating patients with movement disorders such as Parkinson's disease. Patient-specific computational modelling and visualisation have been shown to play a key role in surgical and therapeutic decisions for DBS. The computational models use brain imaging, such as magnetic resonance (MR) and computed tomography (CT), to determine the DBS electrode positions within the patient's head. The finite resolution of brain imaging, however, introduces uncertainty in electrode positions. The DBS stimulation settings for optimal patient response are sensitive to the relative positioning of DBS electrodes to a specific neural substrate (white/grey matter). In our contribution, we study positional uncertainty in the DBS electrodes for imaging with finite resolution. In a three-step approach, we first derive a closed-form mathematical model characterising the geometry of the DBS electrodes. Second, we devise a statistical framework for quantifying the uncertainty in the positional attributes of the DBS electrodes, namely the direction of longitudinal axis and the contact-centre positions at subvoxel levels. The statistical framework leverages the analytical model derived in step one and a Bayesian probabilistic model for uncertainty quantification. Finally, the uncertainty in contact-centre positions is interactively visualised through volume rendering and isosurfacing techniques. We demonstrate the efficacy of our contribution through experiments on synthetic and real datasets. We show that the spatial variations in true electrode positions are significant for finite resolution imaging, and interactive visualisation can be instrumental in exploring probabilistic positional variations in the DBS lead.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21681163.2018.1523750","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37324986","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: 8

Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study. 外周动脉疾病患者特异性血流描述符和归一化壁指数：初步研究

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2016-10-12 DOI: 10.1080/21681163.2016.1184589

Jaykrishna Singh, Gerd Brunner, Joel D Morrisett, Christie M Ballantyne, Alan B Lumsden, Dipan J Shah, Paolo Decuzzi

{"title":"Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study.","authors":"Jaykrishna Singh, Gerd Brunner, Joel D Morrisett, Christie M Ballantyne, Alan B Lumsden, Dipan J Shah, Paolo Decuzzi","doi":"10.1080/21681163.2016.1184589","DOIUrl":"10.1080/21681163.2016.1184589","url":null,"abstract":"Background and aims: MRI-based hemodynamics have been applied to study the relationship between time-averaged wall shear stresses (TAWSS), oscillatory shear index (OSI) and atherosclerotic lesions in the coronary arteries, carotid artery, and human aorta. However, the role of TAWSS and OSI are poorly understood in lower extremity arteries. The aim of this work was to investigate the feasibility of hemodynamic assessment of the superficial femoral artery (SFA) in patients with peripheral artery disease (PAD) and we hypothesized that there is an association between TAWSS and OSI, respectively, and atherosclerotic burden expressed as the normalized wall index (NWI).Methods: Six cases of 3D vascular geometries of the SFA and related inlet/outlet flow conditions were extracted from patient-specific MRI data including baseline, 12 and 24 months. Blood flow simulations were performed to compute flow descriptors, including TAWSS and OSI, and NWI.Results: NWI was correlated positively with TAWSS (correlation coefficient: r = 0.592; p < 0.05). NWI was correlated negatively with OSI (correlation coefficient: r = -0.310, p < 0.01). Spatially averaged TAWSS and average NWI increased significantly between baseline and 24-months, whereas OSI decreased over 2-years.Conclusions: In this pilot study with a limited sample size, TAWSS was positively associated with NWI, a measure of plaque burden, whereas OSI showed an inverse relationship. However, our findings need to be verified in a larger prospective study. MRI-based study of hemodynamics is feasible in the superficial femoral artery.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830147/pdf/nihms919621.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35882541","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

A Spatio-Temporal Atlas and Statistical Model of the Tongue During Speech from Cine-MRI. 语言过程中舌头的时空图谱和统计模型。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2016-04-28 DOI: 10.1080/21681163.2016.1169220

Jonghye Woo, Fangxu Xing, Junghoon Lee, Maureen Stone, Jerry L Prince

{"title":"A Spatio-Temporal Atlas and Statistical Model of the Tongue During Speech from Cine-MRI.","authors":"Jonghye Woo, Fangxu Xing, Junghoon Lee, Maureen Stone, Jerry L Prince","doi":"10.1080/21681163.2016.1169220","DOIUrl":"https://doi.org/10.1080/21681163.2016.1169220","url":null,"abstract":"Statistical modeling of tongue motion during speech using cine magnetic resonance imaging (MRI) provides key information about the relationship between structure and motion of the tongue. In order to study the variability of tongue shape and motion in populations, a consistent integration and characterization of inter-subject variability is needed. In this paper, a method to construct a spatio-temporal atlas comprising a mean motion model and statistical modes of variation during speech is presented. The model is based on the cine-MRI from twenty two normal speakers and consists of several steps involving both spatial and temporal alignment problems independently. First, all images are registered into a common reference space, which is taken to be a neutral resting position of the tongue. Second, the tongue shapes of each individual relative to this reference space are produced. Third, a time warping approach (several are evaluated) is used to align the time frames of each subject to a common time series of initial mean images. Finally, the spatio-temporal atlas is created by time-warping each subject, generating new mean images at each time, and producing shape statistics around these mean images using principal component analysis at each reference time frame. Experimental results consist of comparison of various parameters and methods in creation of the atlas and a demonstration of the final modes of variations at various key time frames in a sample phrase.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21681163.2016.1169220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36333864","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: 15

Structure and variability in human tongue muscle anatomy. 人类舌肌解剖学的结构和变异性。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2016-04-08 DOI: 10.1080/21681163.2016.1162752

Maureen Stone, Jonghye Woo, Junghoon Lee, Tera Poole, Amy Seagraves, Michael Chung, Eric Kim, Emi Z Murano, Jerry L Prince, Silvia S Blemker

{"title":"Structure and variability in human tongue muscle anatomy.","authors":"Maureen Stone, Jonghye Woo, Junghoon Lee, Tera Poole, Amy Seagraves, Michael Chung, Eric Kim, Emi Z Murano, Jerry L Prince, Silvia S Blemker","doi":"10.1080/21681163.2016.1162752","DOIUrl":"https://doi.org/10.1080/21681163.2016.1162752","url":null,"abstract":"The human tongue has a complex architecture, consistent with its complex roles in eating, speaking and breathing. Tongue muscle architecture has been depicted in drawings and photographs, but not quantified volumetrically. This paper aims to fill that gap by measuring the muscle architecture of the tongue for 14 people captured in high-resolution 3D MRI volumes. The results show the structure, relationships and variability among the muscles, as well as the effects of age, gender and weight on muscle volume. Since the tongue consists of partially interdigitated muscles, we consider the muscle volumes in two ways. The functional muscle volume encompasses the region of the tongue served by the muscle. The structural volume halves the volume of the muscle in regions where it interdigitates with other muscles. Results show similarity of scaling across subjects, and speculate on functional effects of the anatomical structure.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21681163.2016.1162752","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36421998","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: 41

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. 基于深度卷积神经网络的间质性肺疾病CT衰减模式整体分类。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2016-06-06 DOI: 10.1080/21681163.2015.1124249

Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z Papadakis, Adrien Depeursinge, Ronald M Summers, Ziyue Xu, Daniel J Mollura

{"title":"Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.","authors":"Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z Papadakis, Adrien Depeursinge, Ronald M Summers, Ziyue Xu, Daniel J Mollura","doi":"10.1080/21681163.2015.1124249","DOIUrl":"https://doi.org/10.1080/21681163.2015.1124249","url":null,"abstract":"Interstitial lung diseases (ILD) involve several abnormal imaging patterns observed in computed tomography (CT) images. Accurate classification of these patterns plays a significant role in precise clinical decision making of the extent and nature of the diseases. Therefore, it is important for developing automated pulmonary computer-aided detection systems. Conventionally, this task relies on experts' manual identification of regions of interest (ROIs) as a prerequisite to diagnose potential diseases. This protocol is time consuming and inhibits fully automatic assessment. In this paper, we present a new method to classify ILD imaging patterns on CT images. The main difference is that the proposed algorithm uses the entire image as a holistic input. By circumventing the prerequisite of manual input ROIs, our problem set-up is significantly more difficult than previous work but can better address the clinical workflow. Qualitative and quantitative results using a publicly available ILD database demonstrate state-of-the-art classification accuracy under the patch-based classification and shows the potential of predicting the ILD type using holistic image.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21681163.2015.1124249","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35980957","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: 227

Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics. 在吞咽力学的患者特异性计算分析中，呼吸-吞咽阶段训练所产生的改善。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2016-03-16 DOI: 10.1080/21681163.2016.1152567

Thi Tu Anh Tran, Bonnie Martin Harris, William G Pearson

{"title":"Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics.","authors":"Thi Tu Anh Tran, Bonnie Martin Harris, William G Pearson","doi":"10.1080/21681163.2016.1152567","DOIUrl":"https://doi.org/10.1080/21681163.2016.1152567","url":null,"abstract":"The aim of this study was to visualize improved swallowing mechanics resulting from respiratory-swallow phase training using patient specific computational analysis of Modified Barium Swallow (MBS) videofluoroscopic images. Imaging from a single subject showing improved MBSImP™© scores in 17 of 18 pre- to post-treatment swallows was selected for analysis. Using a semi-automated MATLAB tracker tool, a frame-by-frame annotation of 10 coordinates mapping muscle functional groups was performed during oropharyngeal swallowing. Computational analysis of coordinate shape change was executed using MorphoJ software to determine differences in swallowing mechanics associated with multiple independent variables. Canonical variant analysis indicated significant differences in mechanics associated with respiratory-swallow phase training (D=1.92,p<.0001). Vectors allowed for visualization of changes in swallowing mechanics associated with respiratory-swallow phase training. A regression of shape associated with laryngeal vestibular closure on respiratory-swallow phase training was highly significant (p<.0001) and accounted for 94.1% of the variance.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21681163.2016.1152567","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36853268","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: 17

Efficient Computation of Cartilage Contact Pressures within Dynamic Simulations of Movement. 在运动动态模拟中高效计算软骨接触压力

IF 1.3

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2016-05-13 DOI: 10.1080/21681163.2016.1172346

Colin R Smith, Kwang Won Choi, Dan Negrut, Darryl G Thelen

{"title":"Efficient Computation of Cartilage Contact Pressures within Dynamic Simulations of Movement.","authors":"Colin R Smith, Kwang Won Choi, Dan Negrut, Darryl G Thelen","doi":"10.1080/21681163.2016.1172346","DOIUrl":"10.1080/21681163.2016.1172346","url":null,"abstract":"The objective of this study was to assess the use of an advanced collision detection algorithm to simulate cartilage contact pressure patterns within dynamic musculoskeletal simulations of movement. We created a knee model that included articular cartilage contact for the tibiofemoral and patellofemoral joints. Knee mechanics were then predicted within the context of a dynamic gait simulation. At each time step of a simulation, ray-casting was used in conjunction with hierarchical oriented bounding boxes (OBB) to rapidly identify regions of overlap between articulating cartilage surfaces. Local cartilage contact pressure was then computed using an elastic foundation model. Collision detection implemented in parallel on a GPU provided up to a 10× speed increase when using high resolution mesh densities that had >10 triangles/mm2. However, pressure magnitudes converged at considerably lower mesh densities (2.6 triangles/mm2) where CPU and GPU implementations of collision detection exhibited equivalent performance. Simulated tibiofemoral contact locations were comparable to prior experimental measurements, while pressure magnitudes were similar to those predicted by finite element models. We conclude the use of ray-casting with hierarchical OBB for collision detection is a viable method for simulating joint contact mechanics in human movement.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366837/pdf/nihms-1501791.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36947375","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

Surgical planning for living donor liver transplant using 4D flow MRI, computational fluid dynamics and in vitro experiments. 活体肝移植手术计划的4D血流MRI、计算流体力学和体外实验。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2017-01-18 DOI: 10.1080/21681163.2017.1278619

David R Rutkowski, Scott B Reeder, Luis A Fernandez, Alejandro Roldán-Alzate

{"title":"Surgical planning for living donor liver transplant using 4D flow MRI, computational fluid dynamics and in vitro experiments.","authors":"David R Rutkowski, Scott B Reeder, Luis A Fernandez, Alejandro Roldán-Alzate","doi":"10.1080/21681163.2017.1278619","DOIUrl":"https://doi.org/10.1080/21681163.2017.1278619","url":null,"abstract":"Abstract This study used magnetic resonance imaging (MRI), computational fluid dynamics (CFD) modelling and in vitro experiments to predict patient-specific alterations in hepatic hemodynamics in response to partial hepatectomy in living liver donors. 4D Flow MRI was performed on three donors before and after hepatectomy and models of the portal venous system were created. Virtual surgery was performed to simulate (1) surgical resection and (2) post-surgery vessel dilation. CFD simulations were conducted using in vivo flow data for boundary conditions. CFD results showed good agreement with in vivo data, and in vitro experimental values agreed well with imaging and simulation results. The post-surgery models predicted an increase in all measured hemodynamic parameters, and the dilated virtual surgery model predicted post-surgery conditions better than the model that only simulated resection. The methods used in this study have potential significant value for the surgical planning process for the liver and other vascular territories.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21681163.2017.1278619","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36386030","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: 26

A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. 应用于数字病理图像核分割的分辨率自适应深度分层（RADHicaL）学习方案。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2018-01-01 Epub Date: 2016-04-28 DOI: 10.1080/21681163.2016.1141063

Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi

{"title":"A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.","authors":"Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi","doi":"10.1080/21681163.2016.1141063","DOIUrl":"10.1080/21681163.2016.1141063","url":null,"abstract":"Deep learning (DL) has recently been successfully applied to a number of image analysis problems. However, DL approaches tend to be inefficient for segmentation on large image data, such as high-resolution digital pathology slide images. For example, typical breast biopsy images scanned at 40× magnification contain billions of pixels, of which usually only a small percentage belong to the class of interest. For a typical naïve deep learning scheme, parsing through and interrogating all the image pixels would represent hundreds if not thousands of hours of compute time using high performance computing environments. In this paper, we present a resolution adaptive deep hierarchical (RADHicaL) learning scheme wherein DL networks at lower resolutions are leveraged to determine if higher levels of magnification, and thus computation, are necessary to provide precise results. We evaluate our approach on a nuclear segmentation task with a cohort of 141 ER+ breast cancer images and show we can reduce computation time on average by about 85%. Expert annotations of 12,000 nuclei across these 141 images were employed for quantitative evaluation of RADHicaL. A head-to-head comparison with a naïve DL approach, operating solely at the highest magnification, yielded the following performance metrics: .9407 vs .9854 Detection Rate, .8218 vs .8489 F-score, .8061 vs .8364 true positive rate and .8822 vs 0.8932 positive predictive value. Our performance indices compare favourably with state of the art nuclear segmentation approaches for digital pathology images.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5935259/pdf/nihms801416.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36074877","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

Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms. 基于多尺度局部基本图像特征直方图的相衬显微镜图像分割。

IF 1.6

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2017-09-03 Epub Date: 2017-04-07 DOI: 10.1080/21681163.2015.1016243

N Jaccard, N Szita, L D Griffin

{"title":"Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms.","authors":"N Jaccard, N Szita, L D Griffin","doi":"10.1080/21681163.2015.1016243","DOIUrl":"https://doi.org/10.1080/21681163.2015.1016243","url":null,"abstract":"Phase contrast microscopy (PCM) is routinely used for the inspection of adherent cell cultures in all fields of biology and biomedicine. Key decisions for experimental protocols are often taken by an operator based on typically qualitative observations. However, automated processing and analysis of PCM images remain challenging due to the low contrast between foreground objects (cells) and background as well as various imaging artefacts. We propose a trainable pixel-wise segmentation approach whereby image structures and symmetries are encoded in the form of multi-scale Basic Image Features local histograms, and classification of them is learned by random decision trees. This approach was validated for segmentation of cell versus background, and discrimination between two different cell types. Performance close to that of state-of-the-art specialised algorithms was achieved despite the general nature of the method. The low processing time ( < 4 s per 1280 × 960 pixel images) is suitable for batch processing of experimental data as well as for interactive segmentation applications.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2017-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21681163.2015.1016243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35327652","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: 22