title: Reduction of background in optoacoustic image sequences obtained under tissue deformation.
abstract: For real-time optoacoustic imaging of the human body, a linear array transducer and reflection mode optical irradiation is preferably used. Experimental outcomes however revealed that such a setup results in significant image background, which prevents imaging structures at the ultimate depth limited only by the optical attenuation of the irradiating light and the signal noise level. Various sources of image background, such as bulk tissue absorption, reconstruction artifacts, and backscattered ultrasound, could be identified. To overcome these limitations, we developed a novel method that results in significantly reduced background and increased imaging depth. For this purpose, we acquire, in parallel, a series of optoacoustic and echo-ultrasound images while the tissue sample is gradually deformed by an externally applied force. Optoacoustic signals and background signals are differently affected by the deformation and can thus be distinguished by image processing. This method takes advantage of a combined optoacoustic/echo-ultrasound device and has a strong potential for improving real-time optoacoustic imaging of deep tissue structures.
authors.affiliation: University of Bern, Institute of Applied Physics, Sidlerstrasse 5, Bern, 3012, Switzerland.
authors.forename: Michael
authors.initials: M
authors.lastname: Jaeger
authors.forename: Lea
authors.initials: L
authors.lastname: Siegenthaler
authors.forename: Michael
authors.initials: M
authors.lastname: Kitz
authors.forename: Martin
authors.initials: M
authors.lastname: Frenz
mesh_terms: D000465:Algorithms; D016477:Artifacts; D054459:Elasticity Imaging Techniques / Q000295:instrumentation / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique