Dr. Seonyeong Park Profile

Dr. Seonyeong Park

Research Assistant Professor at Univ of Illinois Urbana-Champaign

SPIE Involvement:

Author

Websites:

Company Website

Publications (12)

Proceedings Article | 12 March 2024 Presentation + Paper

Investigation of a learned image reconstruction method for three-dimensional quantitative photoacoustic tomography of the breast

Refik Mert Cam, Seonyeong Park, Umberto Villa, Mark Anastasio

Proceedings Volume 12842, 128420M (2024) https://doi.org/10.1117/12.3008904

KEYWORDS: Breast, Tumors, Photoacoustic tomography, Arteries, Veins, Computer simulations, Deep learning, Inverse imaging problems, Blood oxygen saturation

Read Abstract +

Proceedings Article | 12 March 2024 Poster + Paper

Learning a semi-analytic reconstruction method for photoacoustic computed tomography with hemispherical measurement geometries

Panpan Chen, Seonyeong Park, Refik Mert Cam, Hsuan-Kai Huang, Umberto Villa, Mark Anastasio

Proceedings Volume 12842, 128420U (2024) https://doi.org/10.1117/12.3008778

KEYWORDS: Image restoration, Photoacoustic tomography, Tunable filters, Data modeling, Education and training, Data acquisition, Signal filtering, Linear filtering, Image filtering, 3D modeling

Read Abstract +

Proceedings Article | 12 March 2024 Presentation + Paper

A learning-based image reconstruction method for skull-induced aberration compensation in transcranial photoacoustic computed tomography

Hsuan-Kai Huang, Joseph Kuo, Seonyeong Park, Umberto Villa, Lihong Wang, Mark Anastasio

Proceedings Volume 12842, 128420C (2024) https://doi.org/10.1117/12.3008569

KEYWORDS: Image restoration, Skull, Photoacoustic tomography, Elasticity, 3D modeling, Model based design, Acoustics, 3D image reconstruction

Read Abstract +

SPIE Journal Paper | 20 June 2023 Open Access

Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer

Seonyeong Park, Umberto Villa, Fu Li, Refik Mert Cam, Alexander A. Oraevsky, Mark A. Anastasio

JBO, Vol. 28, Issue 06, 066002, (June 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.6.066002

KEYWORDS: Breast, Tissues, Acoustics, Anatomy, Blood, Tissue optics, Blood vessels, Tumors, Stochastic processes, Imaging systems

Read Abstract +

SignificanceWhen developing a new quantitative optoacoustic computed tomography (OAT) system for diagnostic imaging of breast cancer, objective assessments of various system designs through human trials are infeasible due to cost and ethical concerns. In prototype stages, however, different system designs can be cost-efficiently assessed via virtual imaging trials (VITs) employing ensembles of digital breast phantoms, i.e., numerical breast phantoms (NBPs), that convey clinically relevant variability in anatomy and optoacoustic tissue properties.AimThe aim is to develop a framework for generating ensembles of realistic three-dimensional (3D) anatomical, functional, optical, and acoustic NBPs and numerical lesion phantoms (NLPs) for use in VITs of OAT applications in the diagnostic imaging of breast cancer.ApproachThe generation of the anatomical NBPs was accomplished by extending existing NBPs developed by the U.S. Food and Drug Administration. As these were designed for use in mammography applications, substantial modifications were made to improve blood vasculature modeling for use in OAT. The NLPs were modeled to include viable tumor cells only or a combination of viable tumor cells, necrotic core, and peripheral angiogenesis region. Realistic optoacoustic tissue properties were stochastically assigned in the NBPs and NLPs.ResultsTo advance optoacoustic and optical imaging research, 84 datasets have been released; these consist of anatomical, functional, optical, and acoustic NBPs and the corresponding simulated multi-wavelength optical fluence, initial pressure, and OAT measurements. The generated NBPs were compared with clinical data with respect to the volume of breast blood vessels and spatially averaged effective optical attenuation. The usefulness of the proposed framework was demonstrated through a case study to investigate the impact of acoustic heterogeneity on OAT images of the breast.ConclusionsThe proposed framework will enhance the authenticity of virtual OAT studies and can be widely employed for the investigation and development of advanced image reconstruction and machine learning-based methods, as well as the objective evaluation and optimization of the OAT system designs.

DOWNLOAD PAPER

Proceedings Article | 9 March 2023 Presentation

Numerical investigation of impact of skin phototype on three-dimensional optoacoustic tomography of the breast

Seonyeong Park, Umberto Villa, Alexander Oraevsky, Mark Anastasio

Proceedings Volume PC12379, PC123790E (2023) https://doi.org/10.1117/12.2650740

KEYWORDS: Skin, Breast, Tissue optics, Tomography, Optoacoustics, Signal to noise ratio, Photoacoustic tomography, Interfaces, Image filtering, Breast imaging

Read Abstract +

Proceedings Article | 9 March 2023 Presentation + Paper

Dynamic image reconstruction to monitor tumor vascular perfusion in small animals using 3D photoacoustic computed-tomography imagers with rotating gantries

Refik Mert Cam, Chao Wang, Seonyeong Park, Weylan Thompson, Sergey Ermilov, Mark Anastasio, Umberto Villa

Proceedings Volume 12379, 123790F (2023) https://doi.org/10.1117/12.2647663

KEYWORDS: Photoacoustic tomography, Tumors, Imaging systems, Acoustics, Matrices, Tomography, 3D image reconstruction, Preclinical imaging, Iterative methods, Inverse imaging problems, Small animal whole body imaging

Read Abstract +

SPIE Journal Paper | 16 March 2022 Open Access

Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast

Seonyeong Park, Frank Brooks, Umberto Villa, Richard Su, Mark Anastasio, Alexander Oraevsky

JBO, Vol. 27, Issue 03, 036001, (March 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.3.036001

KEYWORDS: Breast, Tissue optics, 3D image processing, Signal attenuation, Optoacoustics, Blood, 3D image reconstruction, Blood vessels, Imaging systems, Breast imaging

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 6 March 2021 Presentation

Three-dimensional quantitative functional optoacoustic tomography to estimate vascular blood oxygenation of the breast

Seonyeong Park, Umberto Villa, Frank Brooks, Richard Su, Alexander Oraevsky, Mark Anastasio

Proceedings Volume 11642, 116421N (2021) https://doi.org/10.1117/12.2585341

Read Abstract +

The goal of quantitative optoacoustic tomography (qOAT) is to reconstruct a distribution of absolute chromophore concentrations and/or functional properties from measurements of the optically induced pressure (ultrasound signals) acquired at multiple excitation wavelengths. Estimating the distribution of hemoglobin, an endogenous OAT chromophore, is important because the oxygen saturation distribution of the blood vessels is a well-known indicator of aggressive growth of a cancerous tumor. In a number of studies, a spectral linear unmixing method has been applied to two-dimensional slices of tissue acquired with OAT at multiple wavelengths, leading to promising results at moderate penetration depths of ≤ 2 cm. In the three-dimensional (3D) OAT of the breast, such functional images cannot be accurately reconstructed via the spectral linear unmixing method due to unknown spatial distribution of the optical fluence in a relatively large size of the volume of interest (≥ 4 cm). Optical attenuation in biological tissue depends on the optical wavelength, and the optical fluence is exponentially attenuated with increasing imaging depth. Thus, the accuracy of the estimated distribution decreases with depth. To overcome this challenge, we investigated a spectral linear unmixing method with a simplified optical fluence normalization based on measurements of background absorbed optical energy in the breast. We compare estimates of blood oxygen saturations from two-wavelength clinical OAT breast images and demonstrate acceptable accuracy of ~10% while lack of compensation for the optical fluence distribution can lead to values outside the physiological range. We also quantitatively compare the accuracy of oxygen saturation estimates using numerical simulation of photon transport in realistic 3D OAT breast phantoms at dual wavelengths of 757 and 850 nm with inverse ratio of the optical absorption by deoxy- (Hb) and oxy-hemoglobin (HbO2) and three wavelengths of 757, 800, and 850 nm with inclusion of isosbestic point of the optical absorption in Hb/HbO₂.

Proceedings Article | 6 March 2021 Presentation

Dynamic reconstruction of three-dimensional photoacoustic tomography from few projections

Chao Wang, Umberto Villa, Weylan Thompson, Seonyeong Park, Sergey Ermilov, Mark Anastasio

Proceedings Volume 11642, 116421A (2021) https://doi.org/10.1117/12.2585344

KEYWORDS: Acquisition tracking and pointing, Photoacoustic tomography, 3D metrology, Reconstruction algorithms, 3D image reconstruction, Tomography, Tissues, Tissue optics, Temporal resolution, Numerical simulations

Read Abstract +

Proceedings Article | 15 February 2021 Presentation

A framework for ultrasound computed tomography virtual imaging trials that employs anatomically realistic numerical breast phantoms

Fu Li, Umberto Villa, Seonyeong Park, Shenghua He, Mark Anastasio

Proceedings Volume 11602, 116020V (2021) https://doi.org/10.1117/12.2582260

KEYWORDS: Breast, Ultrasonography, Computed tomography, 3D modeling, Tissues, Reconstruction algorithms, Algorithm development, Acoustics, Wave propagation, Tumors

Read Abstract +