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3D generalization of brain model to ...

Abedin, Shafiq.

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3D generalization of brain model to visualize and analyze neuroanatomical data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	3D generalization of brain model to visualize and analyze neuroanatomical data./
作者:	Abedin, Shafiq.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	183 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-03(E), Section: A.
Contained By:	Dissertation Abstracts International78-03A(E).
標題:	Information science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10183687
ISBN:	9781369318111

3D generalization of brain model to visualize and analyze neuroanatomical data.
Abedin, Shafiq.

3D generalization of brain model to visualize and analyze neuroanatomical data. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 183 p.

Source: Dissertation Abstracts International, Volume: 78-03(E), Section: A.

Thesis (Ph.D.)--University of Pittsburgh, 2016.

Neuroscientists present data in a 3D form in order to convey a better real world visualization and understanding of the localization of data in relation to brain anatomy and structure. The problem with the visualization of cortical surface of the brain is that the brain has multiple, deep folds and the resulting structural overlap can hide data interweaved within the folds. On one hand, a 2D representation can result in a distorted view that may lead to incorrect localization and analysis of the data. On the other hand, a realistic 3D representation may interfere with our judgment or analysis by showing too many details. Alternatively, a 3D generalization can be used to simplify the model of the brain in order to visualize the hidden data and smooth some of the details. This dissertation addresses the following research question: Is 3D generalization of a brain model a viable approach for visualizing neuroanatomical data?

ISBN: 9781369318111Subjects--Topical Terms:

554358
Information science.

3D generalization of brain model to visualize and analyze neuroanatomical data.
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