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A synthetic total impulse response characterization method for correction of hand-held optoacoustic images.
IEEE Trans. Med. Imaging 39, 3218-3230 (2020)
The impulse response of optoacoustic (photoacoustic) tomographic imaging system depends on several system components, the characteristics of which can influence the quality of reconstructed images. The effect of these system components on reconstruction quality have not been considered in detail so far. Here we combine sparse measurements of the total impulse response (TIR) with a geometric acoustic model to obtain a full characterization of the TIR of a handheld optoacoustic tomography system with concave limited-view acquisition geometry. We then use this synthetic TIR to reconstruct data from phantoms and healthy human volunteers, demonstrating improvements in image resolution and fidelity. The higher accuracy of optoacoustic tomographic reconstruction with TIR correction further improves the diagnostic capability of handheld optoacoustic tomographic systems.
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6.685
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9
17
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Transducers ; Acoustics ; Image Reconstruction ; Imaging ; Image Quality ; Detectors ; Couplings ; Image Reconstruction ; Photoacoustic Tomography ; Transducer Modeling ; Handheld Transducer Probe ; Total Impulse Response; Tomography Msot; Reconstruction; Tissues; Models; Speed; Sound
Language
english
Publication Year
2020
HGF-reported in Year
2020
ISSN (print) / ISBN
0278-0062
e-ISSN
1558-254X
Quellenangaben
Volume: 39,
Issue: 10,
Pages: 3218-3230
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place
New York, NY [u.a.]
Reviewing status
Peer reviewed
Institute(s)
Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-505500-001
Grants
European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
WOS ID
WOS:000574745800021
PubMed ID
32324545
Erfassungsdatum
2020-10-30