cyberoid@milton.u.washington.edu (Robert Jacobson) (11/13/90)
The following forwarded notice announces another in a weekly series of
public seminars on visualization held at the University of Washington.
Please attend if you are in the Seattle region sometime.
Date: Mon, 12 Nov 90 09:22:48 PST
From: Werner Stuetzle <wxs@stat.washington.edu>
Message-Id: <9011121722.AA12640@sherpa.stat.washington.edu>
To: graphics-seminar@cs.washington.edu
Subject: Seminar on Scientific Computing and Visualization
SEMINAR ON SCIENTIFIC COMPUTING AND VISUALIZATION
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TITLE: The University of Washington Digital Anatomist Program
SPEAKER: Jim Brinkley, Department of Biological Structure, UW
TIME: Wednesday, November 14, 1990, 4:00pm
PLACE: Thomson 101, UW
ABSTRACT:
The University of Washington Digital Anatomist program is a multi-
disciplinary effort involving biological scientists, clinicians,
engineers, and computer scientists. Anatomy, and more broadly,
structural biology, can be defined as the study of the physical
organization of the body at all levels, from gross anatomy (organs
such as the liver or brain), to molecules (proteins and DNA).The
primary goal of this program is to help transform human anatomy into a
quantitative science by providing digital tools that aid the
visualization, understanding and manipulation of 3-D biological
structures. These tools will be integrated into specialized
workstations for various users: a student's workbench providing
intelligent multimedia access to 3-D images as well as textual
descriptions, a physician's workbench which utilizes knowledge of 3-D
anatomy to aid medical image interpretation and treatment planning,
and a scientist's workbench to aid in the understanding of anatomy at
the microscopic and molecular levels. All these applications depend on
technical advances in visual databases, graphics, image processing,
interactive systems, and methods for representing both spatial and
symbolic knowledge of anatomy. In this talk I will describe our
overall vision, a framework for the design of knowledge-based systems
that will lead to that vision, and progress in three specific areas.
These areas are reconstruction from serial sections, knowledge-based
image analysis, and knowledge-based teaching. I will also suggest
additional projects, and will illustrate our current results with
videotapes showing realistic 3-D graphical animations of anatomic
objects.