Ms. Sabrina Lieu Profile

Sabrina Lieu

at Univ of Southern California

SPIE Involvement:

Author

Publications (2)

Proceedings Article | 15 March 2019 Presentation + Paper

Fundus Analysis Software Tool (FAST): development of software integrating CAD with the EHR for the longitudinal study of fundus images

Veda Murthy, Manjula Shankar, Justin Lin, Sabrina Lieu, Mayur Patel, Heaven Post, Hemanth Murthy, Brent Liu

Proc. SPIE. 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications

KEYWORDS: Image processing algorithms and systems, Computer aided diagnosis and therapy, Image segmentation, Image processing, Software development, Java, Computer aided design, Algorithm development

Read Abstract +

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

Proc. SPIE. 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications

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

Read Abstract +

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.

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