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3D image analysis and visualization ...

Kiraly, Atilla Peter.

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3D image analysis and visualization of tubular structures.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	3D image analysis and visualization of tubular structures./
作者:	Kiraly, Atilla Peter.
面頁冊數:	206 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3366.
Contained By:	Dissertation Abstracts International64-07B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3096993

3D image analysis and visualization of tubular structures.
Kiraly, Atilla Peter.

3D image analysis and visualization of tubular structures. - 206 p.

Source: Dissertation Abstracts International, Volume: 64-07, Section: B, page: 3366.

Thesis (Ph.D.)--The Pennsylvania State University, 2003.

New multidetector High Resolution Computed-Tomography (HRCT) scanners can produce three-dimensional (3D) volumetric images of the human airway tree consisting of hundreds of two-dimensional (2D) sections. Immense volumetric data of vasculature is also obtained from micro-CT scanners. Virtual Endoscopy and Virtual Bronchoscopy (VB) systems have emerged to better deal with this data. These systems offer the user the ability to analyze the data with a wide variety of tools for better quantitative and diagnostic results. However, before these systems can be used, a significant amount of pre-processing must be performed. This preprocessing involves image segmentation, path planning, and quantitative analysis. The central focus of this thesis is in developing fast and reliable methods to perform these operations, thus allowing dependable clinical usage. The proposed methods were validated on a wide variety of images ranging from human airway data to the hepatic vasculature of rats. Phantom models were also used for validation. The methods for quantitative analysis were also compared to an existing semi-automatic method to prove correctness. The results show the clinical utility of these methods. Finally, the thesis proposes novel visualization tools to analyze the processed data and provide better navigation. These tools form a part of our VB system, the <italic> Virtual Navigator™</italic>. The robust methods presented in this thesis allow for clinically useful VB applications to aid physicians in image analysis and surgical guidance.Subjects--Topical Terms:

626642
Computer Science.

3D image analysis and visualization of tubular structures.
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502 $a Thesis (Ph.D.)--The Pennsylvania State University, 2003.
520 $a New multidetector High Resolution Computed-Tomography (HRCT) scanners can produce three-dimensional (3D) volumetric images of the human airway tree consisting of hundreds of two-dimensional (2D) sections. Immense volumetric data of vasculature is also obtained from micro-CT scanners. Virtual Endoscopy and Virtual Bronchoscopy (VB) systems have emerged to better deal with this data. These systems offer the user the ability to analyze the data with a wide variety of tools for better quantitative and diagnostic results. However, before these systems can be used, a significant amount of pre-processing must be performed. This preprocessing involves image segmentation, path planning, and quantitative analysis. The central focus of this thesis is in developing fast and reliable methods to perform these operations, thus allowing dependable clinical usage. The proposed methods were validated on a wide variety of images ranging from human airway data to the hepatic vasculature of rats. Phantom models were also used for validation. The methods for quantitative analysis were also compared to an existing semi-automatic method to prove correctness. The results show the clinical utility of these methods. Finally, the thesis proposes novel visualization tools to analyze the processed data and provide better navigation. These tools form a part of our VB system, the <italic> Virtual Navigator™</italic>. The robust methods presented in this thesis allow for clinically useful VB applications to aid physicians in image analysis and surgical guidance.
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