Srinidhi Bharadwaj, Tara M Urner, Kyle R Cowdrick, Rowan O Brothers, Tisha Boodooram, Hongting Zhao, Vidisha Goyal, Eashani Sathialingam, Yueh-Chi Wu, Ayesha Quadri, Katherine Turrentine, Mariam M Akbar, Sydney E Triplett, Shasha Bai, Erin M Buckley
{"title":"Stand-alone segmentation of blood flow pulsatility measured with diffuse correlation spectroscopy.","authors":"Srinidhi Bharadwaj, Tara M Urner, Kyle R Cowdrick, Rowan O Brothers, Tisha Boodooram, Hongting Zhao, Vidisha Goyal, Eashani Sathialingam, Yueh-Chi Wu, Ayesha Quadri, Katherine Turrentine, Mariam M Akbar, Sydney E Triplett, Shasha Bai, Erin M Buckley","doi":"10.1364/BOE.533916","DOIUrl":null,"url":null,"abstract":"<p><p>We present a stand-alone blood flow index (BFI) pulse segmentation method for diffuse correlation spectroscopy that uses a wavelet-based representation of the BFI signal at the cardiac frequency in place of an exogenous physiological reference. We use this wavelet-based segmentation method to quantify BFI waveform morphology in a cohort of 30 healthy adults. We demonstrate that the waveform morphology features obtained with the wavelet approach strongly agree with those obtained using an exogenous blood pressure reference signal. These results suggest the promise of stand-alone wavelet-based BFI segmentation for quantifying BFI waveform morphological features.</p>","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11482157/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical optics express","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1364/BOE.533916","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
We present a stand-alone blood flow index (BFI) pulse segmentation method for diffuse correlation spectroscopy that uses a wavelet-based representation of the BFI signal at the cardiac frequency in place of an exogenous physiological reference. We use this wavelet-based segmentation method to quantify BFI waveform morphology in a cohort of 30 healthy adults. We demonstrate that the waveform morphology features obtained with the wavelet approach strongly agree with those obtained using an exogenous blood pressure reference signal. These results suggest the promise of stand-alone wavelet-based BFI segmentation for quantifying BFI waveform morphological features.
期刊介绍：
The journal''s scope encompasses fundamental research, technology development, biomedical studies and clinical applications. BOEx focuses on the leading edge topics in the field, including:
Tissue optics and spectroscopy
Novel microscopies
Optical coherence tomography
Diffuse and fluorescence tomography
Photoacoustic and multimodal imaging
Molecular imaging and therapies
Nanophotonic biosensing
Optical biophysics/photobiology
Microfluidic optical devices
Vision research.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
