TY - JOUR
T1 - Reflection artifact identification in photoacoustic imaging using multiwavelength excitation
AU - Nguyen, Ho Nhu Y.
AU - Hussain, Altaf
AU - Steenbergen, Wiendelt
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Photoacoustic imaging has been a focus of research for clinical applications owing to its ability for deep visualization with optical absorption contrast. However, there are various technical challenges remaining for this technique to find its place in clinics. One of the challenges is the occurrence of reflection artifacts. The reflection artifacts may lead to image misinterpretation. Here we propose a new method using multiple wavelengths for identifying and removing the reflection artifacts. By imaging the sample with multiple wavelengths, the spectral response of the features in the photoacoustic image is obtained. We assume that the spectral response of the reflection artifact is better correlated with the proper image feature of its corresponding absorber than with other features in the image. Based on this, the reflection artifacts can be identified and removed. Here, we experimentally demonstrated the potential of this method for real-time identification and correction of reflection artifacts in photoacoustic images in phantoms as well as in vivo using a handheld photoacoustic imaging probe.
AB - Photoacoustic imaging has been a focus of research for clinical applications owing to its ability for deep visualization with optical absorption contrast. However, there are various technical challenges remaining for this technique to find its place in clinics. One of the challenges is the occurrence of reflection artifacts. The reflection artifacts may lead to image misinterpretation. Here we propose a new method using multiple wavelengths for identifying and removing the reflection artifacts. By imaging the sample with multiple wavelengths, the spectral response of the features in the photoacoustic image is obtained. We assume that the spectral response of the reflection artifact is better correlated with the proper image feature of its corresponding absorber than with other features in the image. Based on this, the reflection artifacts can be identified and removed. Here, we experimentally demonstrated the potential of this method for real-time identification and correction of reflection artifacts in photoacoustic images in phantoms as well as in vivo using a handheld photoacoustic imaging probe.
KW - (170.3880) medical and biological imaging
KW - Ocis codes: (170.5120) photoacoustic imaging
UR - http://www.scopus.com/inward/record.url?scp=85054851890&partnerID=8YFLogxK
U2 - 10.1364/BOE.9.004613
DO - 10.1364/BOE.9.004613
M3 - Article
AN - SCOPUS:85054851890
VL - 9
SP - 4613
EP - 4630
JO - Biomedical optics express
JF - Biomedical optics express
SN - 2156-7085
IS - 10
ER -