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Inverse problems in structural biolo...

The Johns Hopkins University.

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Inverse problems in structural biology and flexible needle steering.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Inverse problems in structural biology and flexible needle steering./
Author:	Park, Wooram.
Description:	246 p.
Notes:	Adviser: Gregory S. Chirikjian.
Contained By:	Dissertation Abstracts International69-04B.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3309806
ISBN:	9780549578352

Inverse problems in structural biology and flexible needle steering.
Park, Wooram.

Inverse problems in structural biology and flexible needle steering. - 246 p.

Adviser: Gregory S. Chirikjian.

Thesis (Ph.D.)--The Johns Hopkins University, 2008.

This dissertation for uses on several inverse problems and mathematical problems in structural biology and flexible needle steering. Among the many methods for determining structural information about biological macromolecules, electron tomography and Nuclear Magnetic Resonance (NMR) are considered here. Since reconstruction using the electron microscope is based on image modeling and processing, we develop a mathematical method for representing two-dimensional images using Hermite expansions. The special properties of the expansion are derived and are used for two-dimensional image processing. Based on this method, two-dimensional image reconstruction from random projections is performed as an intermediate step on the way to full three-dimensional image reconstruction. Furthermore, we solve the image deblurring problem using the Hermite image expansion and deconvolution on the Euclidean motion group. This deblurring technique is expected to be useful in electron tomography, when averaging projections for noise reduction leads to blurring. We also develop a framework for solving the assignment problem in experimental NMR with unassigned Residual Dipolar Coupling (RDC) measurements. Based on the relationship between crystal structure information and RDC data of a target biological macromolecule, we assign each measurement to the biological macromolecule using methods from linear algebra and the optional assignment algorithm. Finally, we propose a path planning algorithm for a flexible needle with a bevel tip. A nonholonomic needle model and a diffusion process are used for this planning algorithm. We also propose a method for determining the noise parameters of the needle insertion system, which can be used for the planning.

ISBN: 9780549578352Subjects--Topical Terms:

783786
Engineering, Mechanical.

Inverse problems in structural biology and flexible needle steering.
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020 $a 9780549578352
035 $a (UMI)AAI3309806
035 $a AAI3309806
040 $a UMI $c UMI
100 1 $a Park, Wooram. $3 1023611
245 1 0 $a Inverse problems in structural biology and flexible needle steering.
300 $a 246 p.
500 $a Adviser: Gregory S. Chirikjian.
500 $a Source: Dissertation Abstracts International, Volume: 69-04, Section: B, page: 2591.
502 $a Thesis (Ph.D.)--The Johns Hopkins University, 2008.
520 $a This dissertation for uses on several inverse problems and mathematical problems in structural biology and flexible needle steering. Among the many methods for determining structural information about biological macromolecules, electron tomography and Nuclear Magnetic Resonance (NMR) are considered here. Since reconstruction using the electron microscope is based on image modeling and processing, we develop a mathematical method for representing two-dimensional images using Hermite expansions. The special properties of the expansion are derived and are used for two-dimensional image processing. Based on this method, two-dimensional image reconstruction from random projections is performed as an intermediate step on the way to full three-dimensional image reconstruction. Furthermore, we solve the image deblurring problem using the Hermite image expansion and deconvolution on the Euclidean motion group. This deblurring technique is expected to be useful in electron tomography, when averaging projections for noise reduction leads to blurring. We also develop a framework for solving the assignment problem in experimental NMR with unassigned Residual Dipolar Coupling (RDC) measurements. Based on the relationship between crystal structure information and RDC data of a target biological macromolecule, we assign each measurement to the biological macromolecule using methods from linear algebra and the optional assignment algorithm. Finally, we propose a path planning algorithm for a flexible needle with a bevel tip. A nonholonomic needle model and a diffusion process are used for this planning algorithm. We also propose a method for determining the noise parameters of the needle insertion system, which can be used for the planning.
590 $a School code: 0098.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0548
690 $a 0771
710 2 $a The Johns Hopkins University. $3 1017431
773 0 $t Dissertation Abstracts International $g 69-04B.
790 $a 0098
790 1 0 $a Chirikjian, Gregory S., $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3309806