Seminars

Seminar Name: Omni-tomography Institution: Johns Hopkins University Medical Imaging Physics Seminar (also presented as a plenary speech at the International Workshop on Recent Advances in Biomedical Imaging, August 15-18, 2011; http://ins.sjtu.edu.cn/programs/2011/ws_rabi/default.html) Lecturer: Dr. Ge Wang Date: September 16, 2011 Description: Current tomographic systems need major improvements, especially when multi-dimensional, multi-scale, multi-temporal and multi-parametric phenomena are under investigation. Both preclinical and clinical imaging now depend on in vivo tomography, often requiring separate evaluations by different imaging modalities to define critical details, delineate changes due to disease or interventions, and study interconnected physiological aspects. Over the past decade, fusion of multimodality images has emerged with two different approaches: post-hoc image registration and combined data acquisition on PET-CT, PET-MRI and other hybrid scanners. There are intrinsic limitations for both the approaches defined by registration errors and physical constraints. We envision that tomography will evolve beyond current modality fusion and towards grand fusion, a large scale fusion of all or many imaging modalities, which may be referred to as omni-tomography or multi-tomography. Unlike modality fusion, grand fusion is here proposed for truly simultaneous but often localized reconstruction in terms of all or many imaging mechanisms including CT, MRI, PET, SPECT, US, optical, and more. In this presentation, the technical basis for omni-tomography is illustrated with a top-level design of a future scanner and interior tomographic reconstructions of representative modalities, and major applications of omni-tomography are speculated along with promising research directions. Please click to download arXiv, PDF and Audio files.
Seminar Name: Analytical Model for Dark Field X-Ray CT Institution: Fully 3D Conference 2011, Potsdam, Germany Lecturer: Dr. Ge Wang Description: Background, Data Acquisition, Imaging Model, Simulation Results, Discussion.Click image to play video presentation.
Seminar Name: Biomedical Imaging Institution: Northeastern University, China / Tsinghua University, China / Samsung Electronics, South Korea Lecturer: Dr. Ge Wang Description: Introduction, Spiral Cone-beam CT, Interior Tomography, Multi-scale CT, Work in ProgressClick image to play video presentation or click here to download PPT or here to view slides.
Seminar Name: The Meaning of Interior Tomography Institution: Chongqing University, China / KAIST, South Korea / Capital Normal University, South Korea Lecturer: Dr. Ge Wang Description: Introduction, Spiral Cone-beam CT, Interior Tomography, Multi-scale CT, Work in ProgressClick image to play video presentation or here to download PPT or here to view slides or here to download notes PDF.
Seminar Name: Bioluminescence Tomography Institution: Molecular Imaging Program at Stanford Lecturer: Dr. Ge Wang Description: Small animal imaging becomes increasingly important for biomedical research at anatomical, functional, cellular and molecular levels. For molecular imaging, our group has been developing bioluminescence tomography since 2002. This new imaging mode is to reconstruct a bioluminescent source distribution inside a mouse from external flux measurement on the surface of the mouse.	Stanford Link
Seminar Name: Multi-slice spiral CT Institution: Institute of Medical Physics, University of Erlangen, Germany Lecturer: Dr. Ge Wang Description: Single-slice spiral CT, Multi-slice spiral CT, Sensitivity of signal reconstruction (SSR), Sampling pattern in multi-slice spiral CT, Single-turn, Multiple-turn, Theoretical extension, SSR, SSP & ROC
Seminar Name: CT image restoration based on I-divergence minimization Institution: Department of Materials and Department of Imaging, Imperial College, UK / Dept of Electrical and Computer Engineering, University of Iowa Lecturer: Dr. Ge Wang Description: Image restoration is a major branch of image processing, which refers to computerized recovery of an ideal image from its blurred version. The expectation maximization formula for emission computed tomogrpahy can be adapted to invert a linear system monotonically, non negatively and optimally in the sense of minimizing I-divergence. We will explain the rationale for use of I-divergence, derive a spiral CT image restoration formula, report preliminary results for cochlear imaging, and discuss further research directions.
Seminar Name: X-Ray CT Imaging & Analysis Institution: Department of Radiology, University of Cambridge, UK Lecturer: Dr. Ge Wang Description: Theoretical & Technical Development: Spiral Scanning, Cone-Beam Geometry, Iterative Deblurring. Clinical Projects: Colon Unraveling, Cochlear Modeling, CT Angiography. Future Work.
Seminar Name: Cone-beam Spiral CT Institution: College of Engineering, University of Oxford, UK / Department of Medical Physics, St. George’s Hospital, UK Lecturer: Dr. Ge Wang Description: Cone-Beam Geometry, Exact Cone-Beam CT, Spiral Scanning, Approximate Reconstruction, Feldkamp-Type CT.
Seminar Name: Fast Iterative Metal Artifact Reduction Institution: Department of Radiology, University of Paris, France Lecturer: Dr. Ge Wang Description: Background: Filtered Backprojection, Metal Artifacts, EM-like Deblurring. Method and Materials: OSEM-like deblurring, Spiral CT Scanner, Physical Phantoms. Results: EM method vs FB method testing, OSEM method testing.
Seminar Name: Lecture Series on CT Physics (for residents) Institution: Dept of Radiology, University of Iowa Lecturer: Dr. Ge Wang	Part 1: Handout; Part 2: Handout; Part 3: Handout
Seminar Name: Computed Tomography (for technologists) Institution: Dept of Radiology, University of Iowa Lecturer: Dr. Ge Wang	Syllabus
Seminar Name: CT and Mathematics, Numerical Analysis Seminar Institution: Dept of Mathematics, University of Iowa Lecturer: Dr. Ge Wang Description: Introduction, Heuristics & Mathematics: Iterative Reconstruction, Filtered Backprojection, Series Expansion. Advanced Topics: Cone-Beam Tomography, Real-Time Tomography.