Jaewon Yang, PhD

Associate Specialist

Biography

Jaewon Yang, PhD, is an Associate Specialist in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco. Dr. Yang's particular research interest is to develop practical and robust imaging techniques for quantitative PET and SPECT, providing a solution for the unmet needs of the current nuclear imaging systems.

Dr. Yang has extensively experienced quantitative data analysis using PET/MR data, developing PET quantitative imaging techniques readily applicable to daily clinics for attenuation correction and motion management.

Recently, he has completed the initial investigation of a direct image-to-image deep learning (DL) solution for simultaneous correction of attenuation and scatter in quantitative PET imaging. He continues to develop and validate the DL solution for clinical applications in commercial scanners that need practical and robust methods for quantitative PET and SPECT imaging.

Education

Ph.D., 04/2014 - Radiation Oncology and Electrical Engineering, Stanford University
M.S., 09/2010 - Electrical Engineering, Stanford University
B.S., 08/2007 - Electrical Engineering, Yonsei University
Postdoc, - Radiology and Biomedical Imaging, University of California, San Francisco (UCSF)

Honors and Awards

Fellowship, Kwanjeong Educational Foundation (KEF), 2007-2013
Graduation with Highest Honors, Electrical and Electronic Engineering, Yonsei University, 2007

Publications

Yang J, Park D, Gullberg GT, Seo Y. Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain 18F-FDG PET. Phys Med Biol. 2019 Apr 04; 64(7):075019.
Kim K, Kim D, Yang J, El Fakhri G, Seo Y, Fessler JA, Li Q. Time of flight PET reconstruction using nonuniform update for regional recovery uniformity. Med Phys. 2019 Feb; 46(2):649-664.
Gong K, Guan J, Kim K, Zhang X, Yang J, Seo Y, El Fakhri G, Qi J, Li Q. Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Trans Med Imaging. 2018 Sep 12.
Yang J, Liu J, Wiesinger F, Menini A, Zhu X, Hope TA, Seo Y, Larson PEZ. Developing an efficient phase-matched attenuation correction method for quiescent period PET in abdominal PET/MRI. Phys Med Biol. 2018 Sep 10; 63(18):185002.
Gong K, Yang J, Kim K, El Fakhri G, Seo Y, Li Q. Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images. Phys Med Biol. 2018 Jun 13; 63(12):125011.
Wiesinger F, Bylund M, Yang J, Kaushik S, Shanbhag D, Ahn S, Jonsson JH, Lundman JA, Hope T, Nyholm T, Larson P, Cozzini C. Zero TE-based pseudo-CT image conversion in the head and its application in PET/MR attenuation correction and MR-guided radiation therapy planning. Magn Reson Med. 2018 Oct; 80(4):1440-1451.
Leynes AP, Yang J, Wiesinger F, Kaushik SS, Shanbhag DD, Seo Y, Hope TA, Larson PEZ. Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI. J Nucl Med. 2018 May; 59(5):852-858.
Yang J, Wiesinger F, Kaushik S, Shanbhag D, Hope TA, Larson PEZ, Seo Y. Evaluation of Sinus/Edge-Corrected Zero-Echo-Time-Based Attenuation Correction in Brain PET/MRI. J Nucl Med. 2017 11; 58(11):1873-1879.
Yang J, Khalighi M, Hope TA, Ordovas K, Seo Y. Technical Note: Fast respiratory motion estimation using sorted singles without unlist processing: A feasibility study. Med Phys. 2017 May; 44(5):1632-1637.
Leynes AP, Yang J, Shanbhag DD, Kaushik SS, Seo Y, Hope TA, Wiesinger F, Larson PE. Hybrid ZTE/Dixon MR-based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRI. Med Phys. 2017 Mar; 44(3):902-913.
Yang J, Jian Y, Jenkins N, Behr SC, Hope TA, Larson PEZ, Vigneron D, Seo Y. Quantitative Evaluation of Atlas-based Attenuation Correction for Brain PET in an Integrated Time-of-Flight PET/MR Imaging System. Radiology. 2017 07; 284(1):169-179.
Behr SC, Mollard BJ, Yang J, Flavell RR, Hawkins RA, Seo Y. Effect of Time-of-Flight and Regularized Reconstructions on Quantitative Measurements and Qualitative Assessments in Newly Diagnosed Prostate Cancer With 18F-Fluorocholine Dual Time Point PET/MRI. Mol Imaging. 2017 Jan-Dec; 16:1536012117736703.
Choi JY, Yang J, Noworolski SM, Behr S, Chang AJ, Simko JP, Nguyen HG, Carroll PR, Kurhanewicz J, Seo Y. 18F Fluorocholine Dynamic Time-of-Flight PET/MR Imaging in Patients with Newly Diagnosed Intermediate- to High-Risk Prostate Cancer: Initial Clinical-Pathologic Comparisons. Radiology. 2017 Feb; 282(2):429-436.
Yang J, Yamamoto T, Pollock S, Berger J, Diehn M, Graves EE, Loo BW, Keall PJ. The impact of audiovisual biofeedback on 4D functional and anatomic imaging: Results of a lung cancer pilot study. Radiother Oncol. 2016 08; 120(2):267-72.
Savic D, Pedoia V, Seo Y, Yang J, Bucknor M, Franc BL, Majumdar S. Imaging Bone-Cartilage Interactions in Osteoarthritis Using [18F]-NaF PET-MRI. Mol Imaging. 2016 01 01; 15:1-12.
Yang J, Yamamoto T, Mazin SR, Graves EE, Keall PJ. The potential of positron emission tomography for intratreatment dynamic lung tumor tracking: a phantom study. Med Phys. 2014 Feb; 41(2):021718.
Fan Q, Nanduri A, Yang J, Yamamoto T, Loo B, Graves E, Zhu L, Mazin S. Toward a planning scheme for emission guided radiation therapy (EGRT): FDG based tumor tracking in a metastatic breast cancer patient. Med Phys. 2013 Aug; 40(8):081708.
Yang J, Yamamoto T, Cho B, Seo Y, Keall PJ. The impact of audio-visual biofeedback on 4D PET images: results of a phantom study. Med Phys. 2012 Feb; 39(2):1046-57.