(一)
Topic: 3D Slicer
Speaker: Prof. Ron Kikinis
Time: 9:00 - 11:00 am, September 12
Venue: Room 416, Yifu Science Building, Beihang University
Abstract:
This presentation is about 3D Slicer, an extensible, free, open source software for subject specific image analysis. Topics covered in the presentation will include the current state of the software, the technological roadmap for it and it's use for navigation. Examples for the use of 3D Slicer will include dMRI analysis in individual neurosurgical patients, image annotation for deep learning projects and image guided interventions.
Biography of the Speaker:
Dr. Kikinis is the founding Director of the Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, and a Professor of Radiology at Harvard Medical School. This laboratory was founded in 1990. Before joining Brigham & Women's Hospital in 1988, he trained as a resident in radiology at the University Hospital in Zurich, and as a researcher in computer vision at the ETH in Zurich, Switzerland. He received his M.D. degree from the University of Zurich, Switzerland, in 1982. In 2004 he was appointed Professor of Radiology at Harvard Medical School. In 2009 he was the inaugural recipient of the MICCAI Society "Enduring Impact Award". On February 24, 2010 he was appointed the Robert Greenes Distinguished Director of Biomedical Informatics in the Department of Radiology at Brigham and Women's Hospital. On January 1, 2014, he was appointed "Institutsleiter" of Fraunhofer MEVIS and Professor of Medical Image Computing at the University of Bremen. He has served and is serving as member of external advisory boards for a variety of centers and research efforts. He is the Principal Investigator of 3D Slicer, a free open source software platform for image analysis and visualization. Over the years Dr. Kikinis has served as the Principal Investigator (PI) and site PI of a number of large and small NIH and NSF funded grants. This includes the National Alliance for Medical Image Computing (NA-MIC). He is currently serving as the PI of the Neuroimaging Analysis Center (NAC) and the Quantitative Image Informatics for Cancer Research (QIICR). He is also the Director of Collaborations for the National Center for Image Guided Therapy (NCIGT).
(二)
Topic: 22q11 Deletion Syndrome, a Model for Psychosis Using Imaging as a Non-invasive Probe
Speaker: Prof. Zora Kikinis
Time: 9:00 - 11:00 am, September 12
Venue: Room 416, Yifu Science Building, Beihang University
Abstract:
22q11 Deletion Syndrome (22q11DS) is a neurodevelopmental disorder and is believed to be caused by a deletion of 30 to 40 genes on one of the chromosomes 22. Individuals with 22q11DS are at high risk to develop psychosis (40% incidence in adulthood). Psychosis is a spectrum disease that is not fully understood. Diffusion Magnetic Resonance Imaging (dMRI) provides novel and non-invasive tools for mapping the white and gray matter of the brain. Using this methodology in adolescents with 22q11DS, we have demonstrated that changes in the white and gray matter precede the clinical symptoms associated with psychosis. Findings of changes in white and gray brain matter in individuals with 22q11DS could potentially be used as a start point for developing screening strategies for subjects at increased risk for psychosis beyond 22q11DS.
Biography of the Speaker:
Dr. Zora Kikinis is an Associate Professor in the Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School. She completed her PhD in Cell Biology at the University of Basel, Switzerland, and cross-trained later in Medical Image Computing with Dr. Martha Shenton at BWH, Boston. She is applying a multi-disciplinary approach including genetics and imaging, to the investigation of the pathology of psychiatric diseases. Her research interests include combining genetics and neuroimaging to investigate the etiology of schizophrenia. In 2008 Dr. Kikinis received a National Alliance for Research in Schizophrenia and Depression (NARSAD) Young Investigator Award.
Advanced Innovation Center for Big Data-Based Precision Medicine
