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Kim S, Kim M, Kim JG. Development of simple diffuse optical metabolic spectroscopy for tissue metabolism measurement. BIOMEDICAL OPTICS EXPRESS 2019; 10:2956-2966. [PMID: 31259065 PMCID: PMC6583354 DOI: 10.1364/boe.10.002956] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 04/21/2019] [Accepted: 05/13/2019] [Indexed: 05/05/2023]
Abstract
In the field of biomedicine, there are optical systems that provide the tissue metabolic rate of oxygen consumption (tMRO2) by the simultaneous measurement of blood flow and oxygenation level. However, current optical systems are costly and require complex optical alignments, which are inconvenient for clinical applications. Therefore, in this study, we developed a simple diffuse optical metabolic spectroscopy system by combining a broadband light source and a laser and by sharing a spectrometer as a detector for both diffuse optical spectroscopy and diffuse speckle contrast analysis. This system simultaneously measures blood flow, volume, and oxygenation in a simple and cost-effective manner. The system response to flow is demonstrated through the flow phantom experiments. The results of the experiments show that flow response is in the range 0~0.9 ml/min, with a resolution better than 0.1 ml/min. During the blood phantom study, the blood volume fraction increased linearly with blood accumulation. Further, the change in oxygenation was monitored with the modulation of the oxygen level in the gas supply. Finally, tMRO2 changes were measured during ischemia, induced by the upper arm cuff and the results showed a decrease and a recovery of tMRO2 with cuff inflation and deflation, respectively. This simple diffuse optical metabolic spectroscopic system can easily be applied in medical environments by providing a simple and convenient solution for measuring tMRO2.
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He J, Lu H, Young L, Deng R, Callow D, Tong S, Jia X. Real-time quantitative monitoring of cerebral blood flow by laser speckle contrast imaging after cardiac arrest with targeted temperature management. J Cereb Blood Flow Metab 2019; 39:1161-1171. [PMID: 29283290 PMCID: PMC6547180 DOI: 10.1177/0271678x17748787] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Brain injury is the main cause of mortality and morbidity after cardiac arrest (CA). Changes in cerebral blood flow (CBF) after reperfusion are associated with brain injury and recovery. To characterize the relative CBF (rCBF) after CA, 14 rats underwent 7 min asphyxia-CA and were randomly treated with 6 h post-resuscitation normothermic (36.5-37.5℃) or hypothermic- (32-34℃) targeted temperature management (TTM) (N = 7). rCBF was monitored by a laser speckle contrast imaging (LSCI) technique. Brain recovery was evaluated by neurologic deficit score (NDS) and quantitative EEG - information quantity (qEEG-IQ). There were regional differences in rCBF among veins of distinct cerebral areas and heterogeneous responses among the three components of the vascular system. Hypothermia immediately following return of spontaneous circulation led to a longer hyperemia duration (19.7 ± 1.8 vs. 12.7 ± 0.8 min, p < 0.01), a lower rCBF (0.73 ± 0.01 vs. 0.79 ± 0.01; p < 0.001) at the hypoperfusion phase, a better NDS (median [25th-75th], 74 [61-77] vs. 49 [40-77], p < 0.01), and a higher qEEG-IQ (0.94 ± 0.02 vs. 0.77 ± 0.02, p < 0.001) compared with normothermic TTM. High resolution LSCI technique demonstrated hypothermic TTM extends hyperemia duration, delays onset of hypoperfusion phase and lowered rCBF, which is associated with early restoration of electrophysiological recovery and improved functional outcome after CA.
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Affiliation(s)
- Junyun He
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hongyang Lu
- 2 School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China
| | - Leanne Young
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,3 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruoxian Deng
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,3 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Callow
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shanbao Tong
- 2 School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China
| | - Xiaofeng Jia
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,3 Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,4 Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, MD, USA.,5 Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA.,6 Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Sun Y, Thakor N. Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging. IEEE Trans Biomed Eng 2015; 63:463-77. [PMID: 26390439 DOI: 10.1109/tbme.2015.2476337] [Citation(s) in RCA: 192] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Photoplethysmography (PPG) is a noninvasive optical technique for detecting microvascular blood volume changes in tissues. Its ease of use, low cost and convenience make it an attractive area of research in the biomedical and clinical communities. Nevertheless, its single spot monitoring and the need to apply a PPG sensor directly to the skin limit its practicality in situations such as perfusion mapping and healing assessments or when free movement is required. The introduction of fast digital cameras into clinical imaging monitoring and diagnosis systems, the desire to reduce the physical restrictions, and the possible new insights that might come from perfusion imaging and mapping inspired the evolution of the conventional PPG technology to imaging PPG (IPPG). IPPG is a noncontact method that can detect heart-generated pulse waves by means of peripheral blood perfusion measurements. Since its inception, IPPG has attracted significant public interest and provided opportunities to improve personal healthcare. This study presents an overview of the wide range of IPPG systems currently being introduced along with examples of their application in various physiological assessments. We believe that the widespread acceptance of IPPG is happening, and it will dramatically accelerate the promotion of this healthcare model in the near future.
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