Visual Computing for Industry, Biomedicine, and Art最新文献_第7页

Ultrasonic signal detection based on Fabry-Perot cavity sensor. 基于法布里-珀罗腔传感器的超声信号检测。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-04-08 DOI: 10.1186/s42492-021-00074-0

Wu Yang, Chonglei Zhang, Jiaqi Zeng, Wei Song

引用次数: 2

Recovery of photoacoustic images based on accurate ultrasound positioning. 基于超声精确定位的光声图像恢复。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-03-25 DOI: 10.1186/s42492-021-00072-2

Yinhao Pan, Ningbo Chen, Liangjian Liu, Chengbo Liu, Zhiqiang Xu, Jianhui Zhang

{"title":"Recovery of photoacoustic images based on accurate ultrasound positioning.","authors":"Yinhao Pan, Ningbo Chen, Liangjian Liu, Chengbo Liu, Zhiqiang Xu, Jianhui Zhang","doi":"10.1186/s42492-021-00072-2","DOIUrl":"https://doi.org/10.1186/s42492-021-00072-2","url":null,"abstract":"Photoacoustic microscopy is an in vivo imaging technology based on the photoacoustic effect. It is widely used in various biomedical studies because it can provide high-resolution images while being label-free, safe, and harmless to biological tissue. Polygon-scanning is an effective scanning method in photoacoustic microscopy that can realize fast imaging of biological tissue with a large field of view. However, in polygon-scanning, fluctuations of the rotating motor speed and the geometric error of the rotating mirror cause image distortions, which seriously affect the photoacoustic-microscopy imaging quality. To improve the image quality of photoacoustic microscopy using polygon-scanning, an image correction method is proposed based on accurate ultrasound positioning. In this method, the photoacoustic and ultrasound imaging data of the sample are simultaneously obtained, and the angle information of each mirror used in the polygon-scanning is extracted from the ultrasonic data to correct the photoacoustic images. Experimental results show that the proposed method can significantly reduce image distortions in photoacoustic microscopy, with the image dislocation offset decreasing from 24.774 to 10.365 μm.","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"4 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2021-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-021-00072-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25528362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Review recent developments in photoacoustic imaging and sensing for nondestructive testing and evaluation. 综述了无损检测与评价中光声成像与传感技术的最新进展。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-03-19 DOI: 10.1186/s42492-021-00073-1

Sung-Liang Chen, Chao Tian

引用次数: 2

A language to analyze, describe, and explore collections of visual art. 一种分析、描述和探索视觉艺术收藏的语言。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-03-01 DOI: 10.1186/s42492-021-00071-3

Hermann Pflüger

引用次数: 5

Improvement in resolution of fiber-laser photoacoustic tomography based on a virtual-point concept. 基于虚点概念的光纤激光光声层析成像分辨率的提高。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-02-23 DOI: 10.1186/s42492-021-00070-4

Xue Bai, Xu Li, Jun Ma, Bai-Ou Guan

引用次数: 1

Visual analysis of flow and diffusion of hemolytic agents and hematomas. 溶血剂和血肿的流动和扩散目视分析。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-01-30 DOI: 10.1186/s42492-020-00068-4

Yafei Zhu, Mengyao Bao, Miaomiao Jiang, Jincai Chang, Jianzhong Cui

引用次数: 4

Correction to: Classes of tree-based networks. 更正:基于树的网络的类别。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-01-26 DOI: 10.1186/s42492-021-00069-x

Mareike Fischer, Lina Herbst, Michelle Galla, Yangjing Long, Kristina Wicke

引用次数: 1

High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging. 用于体内微血管成像的高速高分辨率激光二极管光声显微镜。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2021-01-11 DOI: 10.1186/s42492-020-00067-5

Xiufeng Li, Victor T C Tsang, Lei Kang, Yan Zhang, Terence T W Wong

{"title":"High-speed high-resolution laser diode-based photoacoustic microscopy for in vivo microvasculature imaging.","authors":"Xiufeng Li, Victor T C Tsang, Lei Kang, Yan Zhang, Terence T W Wong","doi":"10.1186/s42492-020-00067-5","DOIUrl":"https://doi.org/10.1186/s42492-020-00067-5","url":null,"abstract":"Laser diodes (LDs) have been considered as cost-effective and compact excitation sources to overcome the requirement of costly and bulky pulsed laser sources that are commonly used in photoacoustic microscopy (PAM). However, the spatial resolution and/or imaging speed of previously reported LD-based PAM systems have not been optimized simultaneously. In this paper, we developed a high-speed and high-resolution LD-based PAM system using a continuous wave LD, operating at a pulsed mode, with a repetition rate of 30 kHz, as an excitation source. A hybrid scanning mechanism that synchronizes a one-dimensional galvanometer mirror and a two-dimensional motorized stage is applied to achieve a fast imaging capability without signal averaging due to the high signal-to-noise ratio. By optimizing the optical system, a high lateral resolution of 4.8 μm has been achieved. In vivo microvasculature imaging of a mouse ear has been demonstrated to show the high performance of our LD-based PAM system.","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"4 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2021-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s42492-020-00067-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38805579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Correction to: Spatial weight matrix in dimensionality reduction reconstruction for micro-electromechanical system-based photoacoustic microscopy. 基于微机电系统的光声显微镜降维重建中空间权矩阵的修正。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-12-21 DOI: 10.1186/s42492-020-00066-6

Yuanzheng Ma, Chang Lu, Kedi Xiong, Wuyu Zhang, Sihua Yang

引用次数: 0

Modified distance regularized level set evolution for brain ventricles segmentation. 改进距离正则化水平集进化的脑室分割方法。

4区计算机科学

Visual Computing for Industry, Biomedicine, and Art Pub Date : 2020-12-07 DOI: 10.1186/s42492-020-00064-8

Thirumagal Jayaraman, Sravan Reddy M, Manjunatha Mahadevappa, Anup Sadhu, Pranab Kumar Dutta

{"title":"Modified distance regularized level set evolution for brain ventricles segmentation.","authors":"Thirumagal Jayaraman, Sravan Reddy M, Manjunatha Mahadevappa, Anup Sadhu, Pranab Kumar Dutta","doi":"10.1186/s42492-020-00064-8","DOIUrl":"https://doi.org/10.1186/s42492-020-00064-8","url":null,"abstract":"Neurodegenerative disorders are commonly characterized by atrophy of the brain which is caused by neuronal loss. Ventricles are one of the prominent structures in the brain; their shape changes, due to their content, the cerebrospinal fluid. Analyzing the morphological changes of ventricles, aids in the diagnosis of atrophy, for which the region of interest needs to be separated from the background. This study presents a modified distance regularized level set evolution segmentation method, incorporating regional intensity information. The proposed method is implemented for segmenting ventricles from brain images for normal and atrophy subjects of magnetic resonance imaging and computed tomography images. Results of the proposed method were compared with ground truth images and produced sensitivity in the range of 65%-90%, specificity in the range of 98%-99%, and accuracy in the range of 95%-98%. Peak signal to noise ratio and structural similarity index were also used as performance measures for determining segmentation accuracy: 95% and 0.95, respectively. The parameters of level set formulation vary for different datasets. An optimization procedure was followed to fine tune parameters. The proposed method was found to be efficient and robust against noisy images. The proposed method is adaptive and multimodal.","PeriodicalId":52384,"journal":{"name":"Visual Computing for Industry, Biomedicine, and Art","volume":"3 1","pages":"29"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719594/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38341948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2