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Ying Wu, MD

Research Fellow




MRI imaging/processing, radiology


Chinese, English


Dr. Ying Wu was a postdoctoral research fellow at the Center for Neurological Imaging at Harvard Medical School. She studied in Shanghai Second Medical University and Kunming Medical College, received her MD in 1990. She was a radiologist and an instructor in Kunming Medical College before coming to Brigham and Women's Hospital in March, 1999.

Her work in medical brain MR image-processing has concerned the development and the uses of automatic techniques for the extraction of intracranial cavity and multi-channel segmentation with the purpose to quantify multiple sclerosis lesions and to distinguish acute lesions from chronic lesions.

Projects at the CNI:

1. Automated intracranial cavity extraction: Indentifying inracranial cavity (ICC) is an important initial step in many of the brain MR image-processing procedures. Even minimal human supervision introduces a disproportionate time penalty by the added need for data management. A fully automated extraction of ICC method has been carried out to replace an old semi-automated ICC extraction method.

2. Automated multi-channel segmentation: It is a collaborative project between the center for neurological imaging and Amsterdam Free university. The purpose is to develop a fully automated multi-parametric segmentation, which identifying multiple sclerosis lesions and discriminating acute lesions (hyperintense on enhanced T1WI "enhancing lesions") from chronic lesions (hypointense lesions on enhanced T1WI, "black holes"). The automated multi-channel segmentation has been designed to cope with PDWI, T2WI, and enhanced T1 brain MR images, it involves the expectation-maximization algorithm (EM segmentation) and the template-driven segmentation (TDS).


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