Pixel-Based Swallow Measurements: Correcting Nonsquare Pixels

像素 标准差 计算机科学 均方误差 人工智能 统计 数学 计算机视觉
作者
Deirdre Larsen,Takeshi Ikuma,Luisa Neubig,Andreas M. Kist,Rebecca Leonard,Andrew J. McWhorter,Melda Kunduk
出处
期刊:Journal of Speech Language and Hearing Research [American Speech–Language–Hearing Association]
卷期号:66 (2): 565-572 被引量:1
标识
DOI:10.1044/2022_jslhr-22-00306
摘要

This research note illustrates the effects of video data with nonsquare pixels on the pixel-based measures obtained from videofluoroscopic swallow studies (VFSS).Six pixel-based distance and area measures were obtained from two different videoflouroscopic study units; both yielding videos with nonsquare pixels with different pixel aspect ratios (PARs). The swallowing measures were obtained from the original VFSS videos and from the videos after their pixels were squared.The results demonstrated significant multivariate effects both in video type (original vs. squared) and in the interaction between video type and sample (two video recordings of different patients, different PARs, and opposing tilt angles of the external reference). A wide range of variabilities was observed on the pixel-based measures between original and squared videos with the percent deviation ranging from 0.1% to 9.1% with the maximum effect size of 7.43.This research note demonstrates the effect of disregarding PAR to distance and area pixel-based parameters. In addition, we present a multilevel roadmap to prevent possible measurement errors that could occur. At the planning stage, the PAR of video source should be identified, and, at the analyses stage, video data should be prescaled prior to analysis with PAR-unaware software. No methodology in prior absolute or relative pixel-based studies reports adjustment to the PAR prior to measurements nor identify the PAR as a possible source of variation within the literature. Addressing PAR will improve the precision and stability of pixel-based VFSS findings and improve comparability within and across clinical and research settings.https://doi.org/10.23641/asha.21957134.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
缓慢臻发布了新的文献求助10
1秒前
1秒前
Wu发布了新的文献求助10
1秒前
思源应助cc采纳,获得10
1秒前
2秒前
猪猪hero发布了新的文献求助10
2秒前
我是老大应助Skyfury采纳,获得10
2秒前
2秒前
2秒前
深情安青应助菜鸡上线采纳,获得10
3秒前
Edelweiss完成签到,获得积分10
3秒前
kenan发布了新的文献求助10
3秒前
科研小石发布了新的文献求助10
3秒前
是小浩啊完成签到,获得积分10
4秒前
完美麦片完成签到,获得积分10
4秒前
Ayrin完成签到,获得积分10
4秒前
藏杨同学发布了新的文献求助10
5秒前
希望天下0贩的0应助Yu采纳,获得10
5秒前
5秒前
5秒前
无花果应助成7采纳,获得10
5秒前
kun3812完成签到,获得积分10
6秒前
6秒前
代先生发布了新的文献求助30
6秒前
7秒前
忐忑的黄豆完成签到,获得积分10
7秒前
猪猪hero发布了新的文献求助10
8秒前
dhfify发布了新的文献求助10
8秒前
wu完成签到,获得积分10
8秒前
9秒前
HC完成签到,获得积分10
9秒前
GB发布了新的文献求助10
9秒前
大个应助hualla采纳,获得10
9秒前
传奇3应助yuge采纳,获得10
10秒前
10秒前
小迪真傻发布了新的文献求助20
10秒前
miyier发布了新的文献求助30
10秒前
科研南完成签到 ,获得积分10
11秒前
11秒前
方方完成签到,获得积分10
13秒前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362814
求助须知:如何正确求助?哪些是违规求助? 8176643
关于积分的说明 17229522
捐赠科研通 5417707
什么是DOI,文献DOI怎么找? 2866811
邀请新用户注册赠送积分活动 1843993
关于科研通互助平台的介绍 1691695