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A New Landmark-Independent Tool for ...

Rolfe, Sara.

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A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation./
Author:	Rolfe, Sara.
Description:	92 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-12(E), Section: B.
Contained By:	Dissertation Abstracts International75-12B(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3631948
ISBN:	9781321111033

A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation.
Rolfe, Sara.

A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation. - 92 p.

Source: Dissertation Abstracts International, Volume: 75-12(E), Section: B.

Thesis (Ph.D.)--University of Washington, 2014.

As advances in multi-dimensional imaging are made, there is a growing need for tools that enable quantitative assessment of both embryonic and postnatal structure and form. To this end, this dissertation develops a landmark-independent, deformable-registration based framework for quantifying and characterizing morphologic variation. This framework can utilize 3D surface images generated by any multi-dimensional biomedical imaging modality and provides quantitative assessment of potentially biologically relevant changes in 3D shape whether natural, caused by mutation, or influenced by non-genetic factors. In this work, using different example datasets, the utility and sensitivity of the tools developed in this work are demonstrated: 1) to detect subtle morphological phenotypes in specimens; 2) to quantify morphologic change over a normal developmental time series of embryonic development; and 3) to determine the impact of transient localized genetic manipulation and environmental change on morphogenesis. The development of these tools will assist in defining trajectories of normal growth and help underpin hypotheses as to the developmental basis and the specific role of the causative gene in conditions causing disruptions to normal growth.

ISBN: 9781321111033Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation.
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245 1 2 $a A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation.
300 $a 92 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-12(E), Section: B.
500 $a Adviser: Linda G. Shapiro.
502 $a Thesis (Ph.D.)--University of Washington, 2014.
520 $a As advances in multi-dimensional imaging are made, there is a growing need for tools that enable quantitative assessment of both embryonic and postnatal structure and form. To this end, this dissertation develops a landmark-independent, deformable-registration based framework for quantifying and characterizing morphologic variation. This framework can utilize 3D surface images generated by any multi-dimensional biomedical imaging modality and provides quantitative assessment of potentially biologically relevant changes in 3D shape whether natural, caused by mutation, or influenced by non-genetic factors. In this work, using different example datasets, the utility and sensitivity of the tools developed in this work are demonstrated: 1) to detect subtle morphological phenotypes in specimens; 2) to quantify morphologic change over a normal developmental time series of embryonic development; and 3) to determine the impact of transient localized genetic manipulation and environmental change on morphogenesis. The development of these tools will assist in defining trajectories of normal growth and help underpin hypotheses as to the developmental basis and the specific role of the causative gene in conditions causing disruptions to normal growth.
590 $a School code: 0250.
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650 4 $a Health Sciences, Radiology. $3 1019076
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3631948