Dr. Sungwon Yoon Profile

Dr. Sungwon Yoon

Senior Navigation Engineer at Intuitive

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 18 March 2015 Paper

Asymmetric scatter kernels for software-based scatter correction of gridless mammography

Adam Wang, Edward Shapiro, Sungwon Yoon, Arundhuti Ganguly, Cesar Proano, Rick Colbeth, Erkki Lehto, Josh Star-Lack

Proceedings Volume 9412, 94121I (2015) https://doi.org/10.1117/12.2081501

KEYWORDS: Breast, Mammography, Digital mammography, Monte Carlo methods, Sensors, Image quality, Signal detection, Signal attenuation, Image restoration, Point spread functions

Read Abstract +

Proceedings Article | 18 March 2011 Paper

Real-time scanning beam digital x-ray image guidance system for transbronchial needle biopsy

Sungwon Yoon, Brian Wilfley, Keith Jasperson, Ganesh Krishna, Rebecca Fahrig

Proceedings Volume 7961, 79611F (2011) https://doi.org/10.1117/12.878167

KEYWORDS: Lung, Tomography, Sensors, Imaging systems, Biopsy, Navigation systems, Visualization, Image visualization, X-rays, X-ray imaging

Read Abstract +

Proceedings Article | 13 March 2009 Paper

Analysis of lung nodule detectability and anatomical clutter in tomosynthesis imaging of the chest

Sungwon Yoon, Jianan Gang, Daniel Tward, Jeffrey Siewerdsen, Rebecca Fahrig

Proceedings Volume 7258, 72581M (2009) https://doi.org/10.1117/12.813836

KEYWORDS: Picosecond phenomena, Lung, Sensors, Imaging systems, 3D acquisition, Reconstruction algorithms, 3D image processing, Chest, Interference (communication), Signal detection

Read Abstract +

Tomosynthesis is an imaging technique that has gained renewed interest with recent advancements of flat-panel digital detectors. Because of the wide range of potential applications, a systematic analysis of 3D tomosynthesis imaging systems would contribute to the understanding and development. This paper extends a systematic evaluation of thoracic tomosynthetic imaging performance as a function of imaging parameters, such as the number of projections, tomosynthesis orbital extent, and reconstruction filters. We evaluate lung nodule detectability and anatomical clutter as a function of tomosynthesis orbital extent using anthropomorphic phantoms and a table-top acquisition system. Tomosynthesis coronal slices were reconstructed using the FDK algorithm for cone-beam geometry from 91 projections uniformly distributed over acquisition orbital extents (θ) ranging from 10° to 180°. Visual comparisons of different tomosynthesis reconstructions of a lung nodule show the progressive decrease of anatomical clutter as θ increases. Additionally, three quantitative figures of merit were computed and compared: signal-difference-to-noise ratio (SDNR), anatomical clutter power spectrum (PS), and theoretical detectability index (DI). Lung nodule SDNR increases as θ increases from 0° to 120°. Anatomical clutter PS shows that the clutter magnitude and correlation decrease as θ increases, increasing detectability. Similarly, 2D and 3D DI increase as θ increases in the anatomical dominated exposure ranges. On the other hand, 2D slice DI is lower than the 3D DI for larger θ (e.g. 120°), because of the information loss in the depth direction for 2D slices. In other words, inspecting 3D is better for larger acquisition orbital extents, because the extra information acquired at larger angles cannot be fully recovered from 2D tomosynthesis reconstruction slices. In summary, detectability in tomosynthesis reconstructions for thoracic imaging increases as fixed dose is distributed over a larger acquisition orbital extent (up to 120°).

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years