利用超声和骨密度数据模拟骨折愈合过程

T. Ueyama, Yohei Kumabe, K. Oe, T. Fukui, T. Niikura, R. Kuroda, Masakazu Morimoto, N. Yagi, Y. Hata
{"title":"利用超声和骨密度数据模拟骨折愈合过程","authors":"T. Ueyama, Yohei Kumabe, K. Oe, T. Fukui, T. Niikura, R. Kuroda, Masakazu Morimoto, N. Yagi, Y. Hata","doi":"10.1109/ICMLC56445.2022.9941331","DOIUrl":null,"url":null,"abstract":"In this paper, we simulate the fracture healing process using ultrasound and Bone Mineral Density (BMD). The frequency component of the reflected wave from the rat's bone is used. A hole was drilled in the center of the rat's femur to simulate a fracture. Firstly, the frequency response is obtained by adapting a Fast Fourier Transform to the resulting reflected wave, which is then cross spectrum to highlight characteristic frequencies. Next, we use the frequency and BMD healthy bone data to construct a pseudo-individual without considering overlap. Finally, we determine the degree of healing process for each individual. In our previous studies, it has the lack of reliability since there was only one data set that was set to be a bone hole was a problem, so the objective was to increase the number of data and improve reliability. The reliability of bone hole selection is demonstrated by comparing data increased frequencies data for pseudo-individuals with increased data frequencies to the healing process of pseudo-individuals used BMD from previous studies.","PeriodicalId":117829,"journal":{"name":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation Of Bone Fracture Healing Process Using Ultrasound And BMD Data\",\"authors\":\"T. Ueyama, Yohei Kumabe, K. Oe, T. Fukui, T. Niikura, R. Kuroda, Masakazu Morimoto, N. Yagi, Y. Hata\",\"doi\":\"10.1109/ICMLC56445.2022.9941331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we simulate the fracture healing process using ultrasound and Bone Mineral Density (BMD). The frequency component of the reflected wave from the rat's bone is used. A hole was drilled in the center of the rat's femur to simulate a fracture. Firstly, the frequency response is obtained by adapting a Fast Fourier Transform to the resulting reflected wave, which is then cross spectrum to highlight characteristic frequencies. Next, we use the frequency and BMD healthy bone data to construct a pseudo-individual without considering overlap. Finally, we determine the degree of healing process for each individual. In our previous studies, it has the lack of reliability since there was only one data set that was set to be a bone hole was a problem, so the objective was to increase the number of data and improve reliability. The reliability of bone hole selection is demonstrated by comparing data increased frequencies data for pseudo-individuals with increased data frequencies to the healing process of pseudo-individuals used BMD from previous studies.\",\"PeriodicalId\":117829,\"journal\":{\"name\":\"2022 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC56445.2022.9941331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC56445.2022.9941331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们利用超声和骨密度(BMD)模拟骨折愈合过程。利用老鼠骨头反射波的频率成分。在大鼠股骨中心钻一个洞来模拟骨折。首先,通过对反射波进行快速傅里叶变换得到频率响应,然后对反射波进行跨频谱突出特征频率。接下来,我们使用频率和BMD健康骨数据来构建假个体,而不考虑重叠。最后,我们确定每个个体的愈合程度。在我们之前的研究中,由于只有一个数据集被设置为骨孔是一个问题,所以它缺乏可靠性,所以我们的目标是增加数据的数量,提高可靠性。通过将数据频率增加的伪个体的数据与先前研究中使用骨密度的伪个体的愈合过程进行比较,证明了骨孔选择的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation Of Bone Fracture Healing Process Using Ultrasound And BMD Data
In this paper, we simulate the fracture healing process using ultrasound and Bone Mineral Density (BMD). The frequency component of the reflected wave from the rat's bone is used. A hole was drilled in the center of the rat's femur to simulate a fracture. Firstly, the frequency response is obtained by adapting a Fast Fourier Transform to the resulting reflected wave, which is then cross spectrum to highlight characteristic frequencies. Next, we use the frequency and BMD healthy bone data to construct a pseudo-individual without considering overlap. Finally, we determine the degree of healing process for each individual. In our previous studies, it has the lack of reliability since there was only one data set that was set to be a bone hole was a problem, so the objective was to increase the number of data and improve reliability. The reliability of bone hole selection is demonstrated by comparing data increased frequencies data for pseudo-individuals with increased data frequencies to the healing process of pseudo-individuals used BMD from previous studies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信