Mr. Siliang Zhang Profile

Siliang Zhang

Staff Researcher at Image Processing & Informatics Lab

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Publications (4)

Proceedings Article | 15 March 2019 Presentation + Paper

Head and neck cancer radiation therapy decision support

Trent Benedick, Veda Murthy, Rhea Koparde, Maying Shi, Sabrina Lieu, Siliang Zhang, Benjamin Yao, Anh Le, Brent Liu

Proceedings Volume 10954, 109540Y (2019) https://doi.org/10.1117/12.2513075

KEYWORDS: Cancer, Radiotherapy, Decision support systems, Head, Neck, Feature extraction, Tumors, Databases, Oncology, Information science

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Currently the methods used to develop radiation therapy treatment plans for head and neck cancers rely on clinician experience and a small set of universal guidelines which result in inconsistent and variable methods. Data driven support can provide assistance to clinicians by reducing inconsistency associated with treatment planning and provide empirical estimates to minimize the radiation to healthy organs near the tumor. We created a database of DICOM RT objects which stores historical cases and when a new DICOM object is uploaded it will return a set of similar treatment plans to assist the clinician in creating the treatment plan for the current patient. The database works first by extracting features from DICOM RT object to quantitatively compare and evaluate the similarity of cases enabling the system to mine for cases with defined similarity. The feature extraction methods are based on the spatial relationships between the tumors and organs at risk which allows the generation the overlap volume histogram and spatial target similarity which demonstrate the volumetric and locational similarity between the organ at risk and the tumor. It is useful to find cases with similar tumor anatomy because this similarity translates to similarity in radiation dosage. The developed system was applied to three different RT sites, University of California Los Angeles, Technical University at Munich and State University of New York Buffalo; Roswell Park, with a total of 247 cases to evaluate the system for both inter- and intra- institutional best practices and results. Future roadmap will be discussed for correlating outcomes results to the decision support system which will enhance the overall performance and utilization of the decision support system in the RT workflow. In the future, because this database returns similar historical cases to a current one this could be a worthwhile decision support tool for clinicians as they create new radiation therapy treatment plans.

Proceedings Article | 15 March 2019 Presentation + Paper

The application of deep learning framework in quantifying retinal structures on ophthalmic image in research eye-PACS

Moye Yu, Siliang Zhang, Brent Liu, Shenghui Zhao, Aimin Sang, Jiancheng Dong, Huiqun Wu

Proceedings Volume 10954, 1095402 (2019) https://doi.org/10.1117/12.2512458

KEYWORDS: Image segmentation, Macula, Picture Archiving and Communication System, Image processing, Visualization, Data modeling, Human-machine interfaces, Prototyping, Analytical research, Target detection

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Proceedings Article | 6 March 2018 Presentation + Paper

The application of deep learning for diabetic retinopathy prescreening in research eye-PACS

Siliang Zhang, Huiqun Wu, Veda Murthy, Ximing Wang, Lin Cao, John Schwartz, Jorge Hernandez, Gustavo Rodriguez, Brent Liu

Proceedings Volume 10579, 1057913 (2018) https://doi.org/10.1117/12.2296673

KEYWORDS: Picture Archiving and Communication System, Cameras, Algorithm development, Image analysis, Image classification, Neural networks, Pathology, Human-machine interfaces, Databases, Image resolution

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Proceedings Article | 6 March 2018 Presentation + Paper

The development of an ophthalmologic imaging CADe structured report for retinal image radiomics research

Huiqun Wu, Joseph Liu, Siliang Zhang, Alyssa Zhu, Christopher Sulistio, Jingjing Li, Aimin Sang, Jiancheng Dong, Brent Liu

Proceedings Volume 10579, 1057910 (2018) https://doi.org/10.1117/12.2294918

KEYWORDS: Computer aided diagnosis and therapy, Picture Archiving and Communication System, Clinical trials, Photography, Digital imaging, Image analysis, Algorithm development, Medical imaging, Analytical research, Human-machine interfaces

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