Fang-Fang Yin

Overview:

Stereotactic radiosurgery, Stereotactic body radiation therapy, treatment planning optimization, knowledge guided radiation therapy, intensity-modulated radiation therapy, image-guided radiation therapy, oncological imaging and informatics

Positions:

Professor in Radiation Oncology

Radiation Oncology
School of Medicine

Member of the Duke Cancer Institute

Duke Cancer Institute
School of Medicine

Education:

B.S. 1982

Zhejiang University (China)

M.S. 1987

Bowling Green State University

Ph.D. 1992

The University of Chicago

Certificate In Therapeutic Radiologic Physics, Radiation Physics

American Board of Radiology

Grants:

Cross-disciplinary Training in Medical Physics

Administered By
Duke University Medical Physics Graduate Program
Awarded By
National Institutes of Health
Role
Associate Director
Start Date
End Date

Motion Management Using 4D-MRI for Liver Cancer in Radiation Therapy

Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Co-Principal Investigator
Start Date
End Date

Digital tomosynthesis: a new paradigm for radiation treatment verification

Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Principal Investigator
Start Date
End Date

Image-guided Dosimetry for Injectable Brachytherapy based on Elastin-like Polypeptide Nanoparticles

Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Principal Investigator
Start Date
End Date

Robotic SPECT for Biological Imaging Onboard Radiation Therapy Machines

Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Co-Principal Investigator
Start Date
End Date

Publications:

Liver 4D-MRI: An Image Mutual Information based Retrospective Self-sorting Method

© 2019 IEEE. Four-dimensional MRI (4D-MRI) is an emerging technique for soft-tissue motion management in radiotherapy treatment planning. The purpose of this study was to develop a novel image mutual information (MI) based retrospective 4DMRI sorting method that is fully automatic and free of external surrogates. Two novel components of the image-based 4D-MRI method were developed: automatic EOE/EOI phase sorting and inter-slice phase propagation. Image MI was first used to find EOE/EOI pair for each slice and subsequently used to form EOE/EOI chain across slices. After EOE and EOI phase determination, the MI values between intra-slice frames and EOE phase were employed as surrogates for phase sorting. In addition, MI-based inter-slice phase propagation was utilized to maximize the similarity between matching phases of neighboring slices so that the issue of image discontinuity can be mitigated. The first component was examined on a liver cancer patient and the second component on a 4D-XCAT digital human phantom infused with twelve real patient data. Our results showed that the fully automatic EOE/EOI phase sorting matched well with the manual sorting method. The inter-slice phase propagation method worked successfully on the XCAT digital phantom with less than 1% of voxels being mismatched. In conclusion, unlike some existing image-based 4D-MRI methods, the proposed MI-based 4D-MRI sorting method is fully automatic and potentially less sensitive to anatomy discontinuity caused by breathing irregularity. However, a future cohort study with a larger pool of human subjects is warranted to further assess the robustness of the proposed method.
Authors
Zhang, L; Yin, FF; Cai, J
MLA Citation
Zhang, L., et al. “Liver 4D-MRI: An Image Mutual Information based Retrospective Self-sorting Method.” 2019 International Conference on Medical Imaging Physics and Engineering, Icmipe 2019, 2019. Scopus, doi:10.1109/ICMIPE47306.2019.9098165.
URI
https://scholars.duke.edu/individual/pub1448070
Source
scopus
Published In
2019 International Conference on Medical Imaging Physics and Engineering, Icmipe 2019
Published Date
DOI
10.1109/ICMIPE47306.2019.9098165

909 INDUCTION OF RADIATION-INDUCED ERECTILE DYSFUNCTION OF RAT AFTER PROSTATE-CONFINED MODERN RADIOTHERAPY

Authors
Kimura, M; Yan, H; Rabbani, Z; Satoh, T; Baba, S; Yin, F-F; Polascik, T; Donatucci, C; Vujaskovic, Z; Koontz, B
MLA Citation
Kimura, Masaki, et al. “909 INDUCTION OF RADIATION-INDUCED ERECTILE DYSFUNCTION OF RAT AFTER PROSTATE-CONFINED MODERN RADIOTHERAPY.” Journal of Urology, vol. 185, no. 4S, Ovid Technologies (Wolters Kluwer Health), 2011. Crossref, doi:10.1016/j.juro.2011.02.800.
URI
https://scholars.duke.edu/individual/pub1444877
Source
crossref
Published In
The Journal of Urology
Volume
185
Published Date
DOI
10.1016/j.juro.2011.02.800

Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxes

© 2020 IOP Publishing Ltd. Purpose: to develop digital phantoms for characterizing inconsistencies among radiomics extraction methods based on three radiomics toolboxes: CERR (Computational Environment for Radiological Research), IBEX (imaging biomarker explorer), and an in-house radiomics platform. Materials and Methods: we developed a series of digital bar phantoms for characterizing intensity and texture features and a series of heteromorphic sphere phantoms for characterizing shape features. The bar phantoms consisted of n equal-width bars (n = 2, 4, 8, or 64). The voxel values of the bars were evenly distributed between 1 and 64. Starting from a perfect sphere, the heteromorphic sphere phantoms were constructed by stochastically attaching smaller spheres to the phantom surface over 5500 iterations. We compared 61 features typically extracted from three radiomics toolboxes: (1) CERR (2) IBEX (3) in-house toolbox. The degree of inconsistency was quantified by concordance correlation coefficient (CCC) and Pearson correlation coefficient (PCC). Sources of discrepancies were characterized based on differences in mathematical definition, pre-processing, and calculation methods. Results: For the intensity and texture features, only 53%, 45%, 55% features demonstrated perfect reproducibility (CCC = 1) between in-house/CERR, in-house/IBEX, and CERR/IBEX comparisons, while 71%, 61%, 61% features reached CCC > 0.8 and 25%, 39%, 39% features were with CCC < 0.5, respectively. Meanwhile, most features demonstrated PCC > 0.95. For shape features, the toolboxes produced similar (CCC > 0.98) volume yet inconsistent surface area, leading to inconsistencies in other shape features. However, all toolboxes resulted in PCC > 0.8 for all shape features except for compactness 1, where inconsistent mathematical definitions were observed. Discrepancies were characterized in pre-processing and calculation implementations from both type of phantoms. Conclusions: Inconsistencies among radiomics extraction toolboxes can be accurately identified using the developed digital phantoms. The inconsistencies demonstrate the significance of implementing quality assurance (QA) of radiomics extraction for reproducible and generalizable radiomic studies. Digital phantoms are therefore very useful tools for QA.
Authors
Chang, Y; Lafata, K; Wang, C; Duan, X; Geng, R; Yang, Z; Yin, FF
MLA Citation
Chang, Y., et al. “Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxes.” Biomedical Physics and Engineering Express, vol. 7, no. 2, Jan. 2020. Scopus, doi:10.1088/2057-1976/ab779c.
URI
https://scholars.duke.edu/individual/pub1435901
Source
scopus
Published In
Biomedical Physics & Engineering Express
Volume
7
Published Date
DOI
10.1088/2057-1976/ab779c

Advances in Patient Setup and Target Localization

This new book educates readers about new technologies before they appear in hospitals, enabling medical physicists and clinicians to prepare for new technologies thoroughly and proactively, and provide better patient care once new equipment ...
Authors
MLA Citation
Ren, Lei, and Fangfang Yin. “Advances in Patient Setup and Target Localization.” Advanced and Emerging Technologies in Radiation Oncology Physics, CRC Press, 2018.
URI
https://scholars.duke.edu/individual/pub1432591
Source
manual
Published Date

Accuracy and efficiency of image-guided radiation therapy (IGRT) for preoperative partial breast radiosurgery.

Objective: To analyze and evaluate accuracy and efficiency of IGRT process for preoperative partial breast radiosurgery. Methods: Patients were initially setup with skin marks and 5 steps were performed: (1) Initial orthogonal 2D kV images, (2) pre-treatment 3D CBCT images, (3) verification orthogonal 2D kV images, (4) treatment including mid-treatment 2D kV images (for the final 15 patients only), and (5) post-treatment orthogonal 2D kV or 3D CBCT images. Patient position was corrected at each step to align the biopsy clip and to verify surrounding soft tissue positioning. Results: The mean combined vector magnitude shifts and standard deviations at the 5 imaging steps were (1) 0.96 ± 0.69, (2) 0.33 ± 0.40, (3) 0.05 ± 0.12, (4) 0.15 ± 0.17, and (5) 0.27 ± 0.24 in cm. The mean total IGRT time was 40.2 ± 13.2 minutes. Each step was shortened by 2 to 5 minutes with improvements implemented. Overall, improvements in the IGRT process reduced the mean total IGRT time by approximately 20 minutes. Clip visibility was improved by implementing oblique orthogonal images. Conclusion: Multiple imaging steps confirmed accurate patient positioning. Appropriate planning and imaging strategies improved the effectiveness and efficiency of the IGRT process for preoperative partial breast radiosurgery.
Authors
Yoo, S; O'Daniel, J; Blitzblau, R; Yin, F-F; Horton, JK
MLA Citation
Yoo, Sua, et al. “Accuracy and efficiency of image-guided radiation therapy (IGRT) for preoperative partial breast radiosurgery.J Radiosurg Sbrt, vol. 6, no. 4, 2020, pp. 295–301.
URI
https://scholars.duke.edu/individual/pub1435505
PMID
32185089
Source
pubmed
Published In
J Radiosurg Sbrt
Volume
6
Published Date
Start Page
295
End Page
301

Research Areas:

Bioinformatics
Medical physics