Guidelines for assessment of bone microstructure in rodents using micro–computed tomography

术语 计算机科学 分割 体素 一致性(知识库) 医学 图像处理 集合(抽象数据类型) 人工智能 医学物理学 数据挖掘 图像(数学) 语言学 哲学 程序设计语言
作者
Mary Bouxsein,Steven K. Boyd,Bernd Christiansen,Robert E. Guldberg,Karl J. Jepsen,Ralph Müller
出处
期刊:Journal of Bone and Mineral Research [Wiley]
卷期号:25 (7): 1468-1486 被引量:4143
标识
DOI:10.1002/jbmr.141
摘要

Abstract Use of high-resolution micro–computed tomography (µCT) imaging to assess trabecular and cortical bone morphology has grown immensely. There are several commercially available µCT systems, each with different approaches to image acquisition, evaluation, and reporting of outcomes. This lack of consistency makes it difficult to interpret reported results and to compare findings across different studies. This article addresses this critical need for standardized terminology and consistent reporting of parameters related to image acquisition and analysis, and key outcome assessments, particularly with respect to ex vivo analysis of rodent specimens. Thus the guidelines herein provide recommendations regarding (1) standardized terminology and units, (2) information to be included in describing the methods for a given experiment, and (3) a minimal set of outcome variables that should be reported. Whereas the specific research objective will determine the experimental design, these guidelines are intended to ensure accurate and consistent reporting of µCT-derived bone morphometry and density measurements. In particular, the methods section for papers that present µCT-based outcomes must include details of the following scan aspects: (1) image acquisition, including the scanning medium, X-ray tube potential, and voxel size, as well as clear descriptions of the size and location of the volume of interest and the method used to delineate trabecular and cortical bone regions, and (2) image processing, including the algorithms used for image filtration and the approach used for image segmentation. Morphometric analyses should be based on 3D algorithms that do not rely on assumptions about the underlying structure whenever possible. When reporting µCT results, the minimal set of variables that should be used to describe trabecular bone morphometry includes bone volume fraction and trabecular number, thickness, and separation. The minimal set of variables that should be used to describe cortical bone morphometry includes total cross-sectional area, cortical bone area, cortical bone area fraction, and cortical thickness. Other variables also may be appropriate depending on the research question and technical quality of the scan. Standard nomenclature, outlined in this article, should be followed for reporting of results. © 2010 American Society for Bone and Mineral Research
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_ZzrWKZ完成签到 ,获得积分10
1秒前
端庄代荷完成签到 ,获得积分10
4秒前
专注寻菱发布了新的文献求助10
4秒前
luobo123完成签到 ,获得积分10
6秒前
ESC惠子子子子子完成签到 ,获得积分10
6秒前
舒服的月饼完成签到 ,获得积分10
7秒前
拼搏的亦玉完成签到,获得积分10
8秒前
鲤鱼完成签到,获得积分10
12秒前
清爽的火车完成签到 ,获得积分10
13秒前
15秒前
15秒前
量子星尘发布了新的文献求助20
16秒前
18秒前
摔得你发布了新的文献求助10
20秒前
qiancib202完成签到,获得积分0
21秒前
LIFE2020完成签到 ,获得积分10
26秒前
heavenhorse应助zhfliang采纳,获得200
27秒前
31秒前
穆奕完成签到 ,获得积分10
33秒前
恋风阁完成签到 ,获得积分10
35秒前
小乙猪完成签到 ,获得积分0
35秒前
量子星尘发布了新的文献求助10
37秒前
摔得你完成签到,获得积分10
38秒前
wsws2105完成签到,获得积分10
39秒前
轻松的水壶完成签到 ,获得积分10
41秒前
Kevin完成签到 ,获得积分10
41秒前
爆米花应助务实的听筠采纳,获得10
48秒前
Fingerprints完成签到 ,获得积分10
50秒前
四叶草完成签到 ,获得积分10
52秒前
77完成签到 ,获得积分10
58秒前
曾珍完成签到 ,获得积分10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
Fashioner8351完成签到,获得积分10
1分钟前
1分钟前
量子星尘发布了新的文献求助10
1分钟前
Havibi完成签到 ,获得积分10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
谢陈完成签到 ,获得积分10
1分钟前
Emperor完成签到 ,获得积分0
1分钟前
欣欣完成签到 ,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
扫描探针电化学 1000
Teaching Language in Context (Third Edition) 1000
Identifying dimensions of interest to support learning in disengaged students: the MINE project 1000
Introduction to Early Childhood Education 1000
List of 1,091 Public Pension Profiles by Region 941
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5438814
求助须知:如何正确求助?哪些是违规求助? 4549889
关于积分的说明 14221180
捐赠科研通 4470896
什么是DOI,文献DOI怎么找? 2450081
邀请新用户注册赠送积分活动 1441018
关于科研通互助平台的介绍 1417557