Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/74963
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Biomedical Engineering | - |
dc.creator | Cao, F | - |
dc.creator | Qiu, Z | - |
dc.creator | Li, H | - |
dc.creator | Lai, P | - |
dc.date.accessioned | 2018-03-29T09:34:17Z | - |
dc.date.available | 2018-03-29T09:34:17Z | - |
dc.identifier.issn | 2076-3417 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/74963 | - |
dc.language.iso | en | en_US |
dc.publisher | MDPI AG | en_US |
dc.rights | © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Cao, F.; Qiu, Z.; Li, H.; Lai, P. Photoacoustic Imaging in Oxygen Detection. Appl. Sci. 2017, 7, 12, 1262,1-13 is available at https://dx.doi.org/10.3390/app7121262 | en_US |
dc.subject | Oxygen partial pressure | en_US |
dc.subject | Oxygen saturation | en_US |
dc.subject | Photoacoustic imaging | en_US |
dc.title | Photoacoustic imaging in oxygen detection | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 13 | en_US |
dc.identifier.volume | 7 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.doi | 10.3390/app7121262 | en_US |
dcterms.abstract | Oxygen level, including blood oxygen saturation (sO2) and tissue oxygen partial pressure (pO2), are crucial physiological parameters in life science. This paper reviews the importance of these two parameters and the detection methods for them, focusing on the application of photoacoustic imaging in this scenario. sO2 is traditionally detected with optical spectra-based methods, and has recently been proven uniquely efficient by using photoacoustic methods. pO2, on the other hand, is typically detected by PET, MRI, or pure optical approaches, yet with limited spatial resolution, imaging frame rate, or penetration depth. Great potential has also been demonstrated by employing photoacoustic imaging to overcome the existing limitations of the aforementioned techniques. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Applied sciences, Dec. 2017, v. 7, no. 12, 1262, p. 1-13 | - |
dcterms.isPartOf | Applied sciences | - |
dcterms.issued | 2017-12 | - |
dc.identifier.scopus | 2-s2.0-85036517310 | - |
dc.identifier.artn | 1262 | en_US |
dc.identifier.rosgroupid | 2017002092 | - |
dc.description.ros | 2017-2018 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 201803 bcma | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a0840-n01 | en_US |
dc.identifier.SubFormID | 1786 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | RGC: 252044/16E | en_US |
dc.description.fundingText | Others: P0020260; P0020279 | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cao_Photoacoustic_Oxygen_Detection.pdf | 5.25 MB | Adobe PDF | View/Open |
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