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Analytical model for rapid simulation of ultrasound optical tomography images based on mean photon path lengths

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Titel: Analytical model for rapid simulation of ultrasound optical tomography images based on mean photon path lengths
Autoren: Šušnjar, Stefan, Kinos, Adam, Bakic, Predrag R., Zackrisson, Sophia, Martelli, Fabrizio, Swartling, Johannes, Kröll, Stefan, Reistad, Nina
Weitere Verfasser: Lund University, Faculty of Engineering, LTH, Other operations, LTH, Lund Laser Centre, LLC, Lunds universitet, Lunds Tekniska Högskola, Annan verksamhet, LTH, Lunds lasercentrum, LLC, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Photon Science and Technology, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Avancerade ljuskällor, Originator, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Light and Materials, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Ljus och material, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Engineering Health, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Teknik för hälsa, Originator, Lund University, Faculty of Science, Department of Physics, Atomic Physics, Lunds universitet, Naturvetenskapliga fakulteten, Fysiska institutionen, Atomfysik, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Nanoscience and Semiconductor Technology, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Nanovetenskap och halvledarteknologi, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), NanoLund: Centre for Nanoscience, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), NanoLund: Centre for Nanoscience, Originator, Lund University, Faculty of Medicine, Department of Translational Medicine, Radiology Diagnostics, Malmö, Lunds universitet, Medicinska fakulteten, Institutionen för translationell medicin, Diagnostisk radiologi, Malmö, Originator, Lund University, Faculty of Medicine, Department of Translational Medicine, Medical Radiation Physics, Malmö, Lunds universitet, Medicinska fakulteten, Institutionen för translationell medicin, Medicinsk strålningsfysik, Malmö, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), EpiHealth: Epidemiology for Health, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), EpiHealth: Epidemiology for Health, Originator, Lund University, Profile areas and other strong research environments, Other Strong Research Environments, LUCC: Lund University Cancer Centre, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Övriga starka forskningsmiljöer, LUCC: Lunds universitets cancercentrum, Originator
Quelle: Optics Express. 33(19):40091-40120
Schlagwörter: Natural Sciences, Physical Sciences, Atom and Molecular Physics and Optics, Naturvetenskap, Fysik, Atom- och molekylfysik och optik (Här ingår: Kemisk fysik, kvantoptik)
Beschreibung: Ultrasound optical tomography enables noninvasive characterization of tissue and lesions up to 5 cm below the skin surface, by enhancing diffuse optical tomography with ultrasound focusing resolution and an increased number of measurement points. For optimal clinical imaging, it is essential to be able to reconstruct tissue optical properties in real time during in vivo measurements, and therefore, it is necessary to have fast analytical models for ultrasound-modulated light fluence calculation. We derive a simple analytical model for tagged light fluence calculation based on mean photon pathlengths. The continuous-wave diffusion equation and the perturbation approach are used for modeling light propagation through a diffusive medium with inhomogeneous absorption. We introduce, forwhat we believe to be the first time, a concept of conditional mean photon pathlengths and the partial pathlengths approach with its derivation. The proposed analytical model is validated against a previously developed tagged light Monte Carlo simulator. The tagged light transmittance from the analytical model differs <10% on average compared to the Monte Carlo simulator, and the output is obtained with a speed of the order of 103 times faster (∼30 s instead of ∼20 h). This substantial improvement in computational efficiency will enable real-time inverse problem solving. The results also show potential for further refinement of the proposed analytical model and for the development of in vivo clinical applications, e.g., including the characterization of suspicious breast lesions or the measurement of oxygen saturation in tissues.
Zugangs-URL: https://doi.org/10.1364/OE.562414
Datenbank: SwePub
Beschreibung
Abstract:Ultrasound optical tomography enables noninvasive characterization of tissue and lesions up to 5 cm below the skin surface, by enhancing diffuse optical tomography with ultrasound focusing resolution and an increased number of measurement points. For optimal clinical imaging, it is essential to be able to reconstruct tissue optical properties in real time during in vivo measurements, and therefore, it is necessary to have fast analytical models for ultrasound-modulated light fluence calculation. We derive a simple analytical model for tagged light fluence calculation based on mean photon pathlengths. The continuous-wave diffusion equation and the perturbation approach are used for modeling light propagation through a diffusive medium with inhomogeneous absorption. We introduce, forwhat we believe to be the first time, a concept of conditional mean photon pathlengths and the partial pathlengths approach with its derivation. The proposed analytical model is validated against a previously developed tagged light Monte Carlo simulator. The tagged light transmittance from the analytical model differs <10% on average compared to the Monte Carlo simulator, and the output is obtained with a speed of the order of 103 times faster (∼30 s instead of ∼20 h). This substantial improvement in computational efficiency will enable real-time inverse problem solving. The results also show potential for further refinement of the proposed analytical model and for the development of in vivo clinical applications, e.g., including the characterization of suspicious breast lesions or the measurement of oxygen saturation in tissues.
ISSN:10944087
DOI:10.1364/OE.562414