| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Thermoacoustic assessment of hematocrit changes in human forearms |
| Xue Wang(王雪)1,2, Rui Zhao(赵芮)1,2, Yi-Tong Peng(彭亦童)1, Zi-Hui Chi(迟子惠)4, Zhu Zheng(郑铸)1,2, En Li(李恩)1, Lin Huang(黄林)1,2,†, and Hua-Bei Jiang(蒋华北)3,‡ |
1 School of Electronic Science and Engineering(National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu 611731, China;
2 Center for Information in Medicine, University of Electronic and Technology of China, Chengdu 611731, China;
3 Department of Medical Engineering, University of South Florida, Tampa FL 33620, USA;
4 School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China |
|
|
|
|
Abstract Abnormal hematocrit (Hct) is associated with an increased risk of pre-hypertension and all-cause death in general population, and people with a high Hct value are susceptible to arterial cardiovascular disease and venous thromboembolism. In this study, we report for the first time on the ability of thermoacoustic imaging (TAI) for in vivo evaluating Hct changes in human forearms. In vitro blood samples with different Hct values from healthy volunteers (n=3) were prepared after centrifugation. TAI was performed using these samples in comparison with the direct measurements of conductivity. In vivo TAI was conducted in the forearm of healthy volunteers (n=7) where Hct changes were produced through a vascular occlusion stimulation over a period of time. The results of in vitro blood samples obtained from the 3 healthy subjects show that the thermoacoustic (TA) signals changes due to the variation of blood conductivity are closely related to the changes in Hct. In addition, the in vivo TA signals obtained from the 7 healthy subjects consistently increase in the artery/muscle and decrease in the vein during venous or arterial occlusion because of the changed Hct value in their forearms. These findings suggest that TAI has the potential to become a new tool for monitoring Hct changes for a variety of pre-clinical and clinical applications.
|
Received: 04 December 2020
Revised: 17 February 2021
Accepted manuscript online: 24 May 2021
|
|
PACS:
|
43.35.Ud
|
(Thermoacoustics, high temperature acoustics, photoacoustic effect)
|
| |
87.85.Pq
|
(Biomedical imaging)
|
| |
43.35.Wa
|
(Biological effects of ultrasound, ultrasonic tomography)
|
|
| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61701076, 82071940, and 62001075). |
Corresponding Authors:
Lin Huang, Hua-Bei Jiang
E-mail: lhuang@uestc.edu.cn;hjiang1@usf.edu
|
Cite this article:
Xue Wang(王雪), Rui Zhao(赵芮), Yi-Tong Peng(彭亦童), Zi-Hui Chi(迟子惠), Zhu Zheng(郑铸), En Li(李恩), Lin Huang(黄林), and Hua-Bei Jiang(蒋华北) Thermoacoustic assessment of hematocrit changes in human forearms 2021 Chin. Phys. B 30 094302
|
[1] Kruger R A, Miller K D, Reynolds H E, Kiser W L, Reinecke D R and Kruger G A 2000 Radiology 216 279
[2] Yao L, Guo G F and Jiang H B 2010 Med. Phys. 37 3752
[3] Chi Z H, Zhao Y, Huang L, Zheng Z and Jiang H B 2016 Med. Phys. 43 6226
[4] Zhao Y, Chi Z H, Huang L, Zheng Z, Yang J G and Jiang H B 2017 J. Innovat. Opt. Heal. Sci. 10 1740001
[5] Nie L M, Xing D, Zhou Q, Yang D W and Guo H 2008 Med. Phys. 35 4026
[6] Wang X, Bauer D R, Witte R and Xin H 2012 IEEE Trans. Biomed. Eng. 59 2782
[7] Ding W Z, Ji Z and Xing D 2017 Appl. Phys. Lett. 110 183701
[8] Lazebnik M, Mccartney L, Popovic D, Watkins C B, Lindstrom M J, Harter J, Sewall S, Magliocco A, Booske J H, Okoniewski M and Hagness S C 2007 Phys. Med. Biol. 52 2637
[9] Wang B, Zhao Z, Liu S, Nie Z and Liu Q 2017 Appl. Phys. Lett. 111 223701
[10] Fu Y, Ji Z, Ding W Z, Ye F H and Lou C G 2014 Med. Phys. 41 110701
[11] Qin H, Cui Y, Wu Z, Chen Q and Xing D 2020 IEEE Photon. J. 12 1
[12] Eckhart A T, Balmer R T, See W A and Patch S K 2011 IEEE Trans. Biomed. Eng. 58 2238
[13] Patch S K and See W A 2016 Photons Plus Ultrasound: Imaging and Sensing p. 97080E
[14] Chi Z H, Zhao Y, Yang J G, Li T, Zhang G and Jiang H B 2018 IEEE Trans. Biomed. 66 1598
[15] Xu Y and Wang L V 2006 IEEE Trans. Ultrason. Ferroelectr. Freq. Control 53 542
[16] Zhao Y, Shan T Q, Chi Z H and Jiang H B 2020 J. X-ray Sci. Technol. 28 83
[17] Wang X, Huang L, Chi Z H and Jiang H B 2019 Progress in Biochemistry and Biophysics 46 73
[18] Zheng Z, Huang L and Jiang H B 2018 Appl. Phys. Lett. 113 253702
[19] Luo W, Ji Z, Yang S and Xing D 2018 Phys. Rev. Appl. 10 024044
[20] Xie T Q, Tjin S C, Yang Q Q and Ng S L 1998 IEEE Trans. Instrum. Meas. 47 1197
[21] Wolf M, Gulich R, Lunkenheimer P and Loidl A 2011 Biochim. Biophys. Acta 1810 727
[22] Guyton A C and Richardson T Q 1961 Cir. Res. 9 157
[23] Wells R E J and Merrill E W 1962 J. Clin. Invest. 41 1591
[24] Hellem A J, Borchgrevink C F and Ames S B 1961 Brit. J. Haemat. 7 42
[25] Policitemia G I S 1995 Ann. Inter. Med. 123 656
[26] Boneu B 1994 Nouvelle Revue Franaise Dhématologie 36 183
[27] Pearson T C and Wetherley-Mein G 1978 Lancet 312 1219
[28] Schafer A I 1984 Blood 64 1
[29] Wehmeier A, Daum I, Jamin H and Schneider W 1991 Ann. Hemat. 63 101
[30] Gagnon D R, Zhang T J, Brand F N and Kannel W B 1994 Am. Heart J. 127 674
[31] Braekkan S K, Mathiesen E B, Njolstad I, Wilsgaard T and Hansen J B 2010 Haematologica 95 270
[32] Birhaneselassie M, Birhanu A, Gebremedhin A and Tsegaye A 2013 BMC Hemat. 13 11
[33] Chaves F, B Tierno and Xu D S 2005 Am. J. Clin. Pathol. 124 440
[34] Pearson T C and Guthrie D L 1982 Am. J. Clin. Pathol. 78 770
[35] Novis D A, Walsh M, Wilkinson D, Louis M S and Ben-Ezra J 2006 Arch. Pathol. Lab. Med. 130 596
[36] Ike S O, Nubila T, Ukaejiofo E O, Nubila I N, Shu E N and Ezema I 2010 BMC Clin. Pathol. 10 1
[37] Kakel S J 2013 Beni-Suef University Journal of Basic and Applied Sciences 2 31
[38] Gebretsadkan G, Tessema K, Ambachew H and Birhaneselassie M 2015 Int. J. Blood. Res. Disord. 2
[39] Huang L, Ge S L, Zheng Z and Jiang H B 2018 Med. Phys. 46 851
[40] Jiang H B 2020 Thermoacoustic Tomography Principles and applications, 1st edn. (Bristol: IOP Publishing) pp. 1-151
[41] 2006 IEEE Std C951rm TM-2005
[42] Xu D M, Liu L P and Jiang Z Y 1987 IEEE T. Microw. Theory 35 1424
[43] Tanabe E and Joines W T 1976 IEEE T. Instrum. Meas. IM-25 222
[44] Jaspard F, Nadi M and Rouane A 2003 Physiol. Meas. 24 137
[45] Andreuccetti D, Fossi R and Petrucci C 1997 Calculation of the Dielectric Properties of Body Tissues in the frequency range 10 Hz-100 GHz Florence: IFAC-CNR 1997-2015 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
