A graphical user interface for a comparative anatomy information system (original) (raw)
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Of Mice and Men: Design of a Comparative Anatomy Information System
In previous work, we proposed an approach called the Structural Difference Method (SDM) to correlating the anatomy of Homo sapiens with selected species 1 , using the Foundational Model of Anatomy (FMA) 2,3 as a framework and graph matching as a method, for determining similarities and differences between species. In this paper, we present the design of a comparative anatomy information system that utilizes the SDM and allows users to issue queries to determine the similarities and differences between two species. Our system will serve as a pilot project for cross-species anatomical information collection, storage, and retrieval. The underlying data structure of a mapping, and the syntax and semantics of the system's query language, are presented.
The Foundational Model of Anatomy (FMA) is a hierarchical description of the human anatomy implemented in the Protégé 2000 knowledge representation. It can be navigated using Protégé or the Foundational Model Explorer (FME) or queried using the query engine Emily [2], . An approach called The Structural Difference Method has been proposed to correlate the anatomy of two species. In this paper, we will present the design of the Comparative Anatomy Information System (CAIS) that allows a user to issue queries determining the similarities and differences between two species based on the Structural Difference Method.
of WA Graphical User Interface for a System: Design, Impleme
2015
Building on our previous design work in the development of the Structural Difference Method (SDM) for describing anatomical similarities and differences across species, we describe the design and implementation of the associated comparative anatomy information system (CAIS) interface and provide scenarios from the literature for its use by research scientists.
Update available: comprehensive tools for comparative anatomy ver.2.0
2018
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A multimedia Anatomy Browser incorporating a knowledge base and 3D images
Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care, 1991
We describe a multimedia program for teaching anatomy. The program, called the Anatomy Browser, displays cross-sectional and topographical images, with outlines around structures and regions of interest. The user may point to these structures and retrieve text descriptions, view symbolic relationships between structures, or view spatial relationships by accessing 3-D graphics animations from videodiscs produced specifically for this program. The software also helps students exercise what they have learned by asking them to identify structures by name and location. The program is implemented in a client-server architecture, with the user interface residing on a Macintosh, while images, data, and a growing symbolic knowledge base of anatomy are stored on a fileserver. This architecture allows us to develop practical tutorial modules that are in current use, while at the same time developing the knowledge base that will lead to more intelligent tutorial systems.
A New Statistical Method for Comparative Anatomy
International Journal of Morphology, 2009
Rules, formulas and statistical tests have been widely used in studies that use continuous variables in the normal or Gaussian distribution or other tests whose data fit this type of distribution (t and z distributions) and whose parameters can be defined. However, there are cases in which the model and goal of the scientific work allow only the use of discrete or nominal variables. The absence or presence of a structure or organ (muscles, nerves, blood vessels, bones, and ligaments), characteristics associated with these organs, such as the source of nerves, vessels and muscles and the distribution of nerves and vessels are discrete and / or nominal variables that do not fit the Gaussian distribution, nor of z or t, unless the measures of these structures are taken. A simple comparative method within the non-parametric distribution has been proposed, (1) between two different samples from the same species and (2) for two different species, based on the concepts of normal and variation in anatomy and on modal class in statistics here called Comparative Anatomy Index (IAC). The main findings on the use of this method are: (1) to allow the relationship between data from discrete or nominal variables in comparative anatomy or in other areas of morphology, (2) to generate an objective method (numerical) of comparison between samples of structures from the same species and between different species and (3) to fill the lack of a specific method for the statistical work in comparative anatomy or in morphology, in general.
An Approach to the Anatomical Correlation of Species through the Foundational Model of Anatomy
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2003
The increasing need for extrapolating information from one species to another has been highlighted by contemporary research in bioinformatics, genomics, proteomics, and animal models of human disease, as well as other fields. We propose an approach to correlating the anatomy of Homo sapiens with selected species, using the Foundational Model of Anatomy (FMA) as a framework, and graph matching as a method, for determining similarities and differences in the nodes and relationships (edges) defined by the attributed graph of the FMA. We illustrate our approach by comparing anatomical structures of mouse and human that present prototypical mapping problems.