A Web-based Application for the Visual Exploration of Colon Morphology Data

J. Males, E. Monclús, José Díaz, Pere-Pau Vázquez
{"title":"A Web-based Application for the Visual Exploration of Colon Morphology Data","authors":"J. Males, E. Monclús, José Díaz, Pere-Pau Vázquez","doi":"10.2312/VCBM.20191228","DOIUrl":null,"url":null,"abstract":"The colon is an organ whose constant motility poses difficulties to its analysis. Although morphological data can be successfully extracted from Computational Tomography, its radiative nature makes it only indicated for patients with disorders. Only recently, acquisition techniques that rely on the use of Magnetic Resonance Imaging have matured enough to enable the generation of morphological colon data of healthy patients without preparation (i. e. administration of drugs or contrast agents). As a result, a database of colon morphological data for patients under different diets, has been created. Currently, the digestologists we collaborate with analyze the measured data of the gut by inspecting a set of spreadsheets. In this paper, we propose a system for the exploratory visual analysis of the whole database of morphological data at once. It provides features for the visual comparison of data correlations, the inspection of the morphological measures, as well 3D rendering of the colon segmented models. The system solely relies on the use of web technologies, which makes it portable even to mobile devices.","PeriodicalId":88872,"journal":{"name":"Eurographics Workshop on Visual Computing for Biomedicine","volume":"101 1","pages":"27-31"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurographics Workshop on Visual Computing for Biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/VCBM.20191228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The colon is an organ whose constant motility poses difficulties to its analysis. Although morphological data can be successfully extracted from Computational Tomography, its radiative nature makes it only indicated for patients with disorders. Only recently, acquisition techniques that rely on the use of Magnetic Resonance Imaging have matured enough to enable the generation of morphological colon data of healthy patients without preparation (i. e. administration of drugs or contrast agents). As a result, a database of colon morphological data for patients under different diets, has been created. Currently, the digestologists we collaborate with analyze the measured data of the gut by inspecting a set of spreadsheets. In this paper, we propose a system for the exploratory visual analysis of the whole database of morphological data at once. It provides features for the visual comparison of data correlations, the inspection of the morphological measures, as well 3D rendering of the colon segmented models. The system solely relies on the use of web technologies, which makes it portable even to mobile devices.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于web的结肠形态数据可视化探索应用
结肠是一个不断运动的器官,给分析它带来了困难。虽然形态数据可以成功地从计算机断层扫描中提取,但其辐射性质使其仅适用于患有疾病的患者。直到最近,依赖于使用磁共振成像的采集技术已经足够成熟,可以在没有准备(即给药或造影剂)的情况下生成健康患者的结肠形态数据。因此,建立了不同饮食下患者结肠形态数据的数据库。目前,与我们合作的消化学家通过检查一组电子表格来分析肠道的测量数据。在本文中,我们提出了一种对整个形态学数据数据库进行探索性可视化分析的系统。它提供了数据相关性的可视化比较,形态学测量的检查以及冒号分割模型的3D渲染的功能。该系统完全依赖于网络技术的使用,这使得它甚至可以移植到移动设备上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation Distance Visualizations for Vascular Structures in Desktop and VR: Overview and Implementation Is there a Tornado in Alex's Blood Flow? A Case Study for Narrative Medical Visualization HistoContours: a Framework for Visual Annotation of Histopathology Whole Slide Images Predicting, Analyzing and Communicating Outcomes of COVID-19 Hospitalizations with Medical Images and Clinical Data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1