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Three-dimensional image reconstructi...

Jayashekar, Sundareswar Bangalore.

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Three-dimensional image reconstruction of skeletal tissue from computed tomography.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Three-dimensional image reconstruction of skeletal tissue from computed tomography./
作者:	Jayashekar, Sundareswar Bangalore.
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 39-06, page: 1586.
Contained By:	Masters Abstracts International39-06.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1404250
ISBN:	0493220313

Three-dimensional image reconstruction of skeletal tissue from computed tomography.
Jayashekar, Sundareswar Bangalore.

Three-dimensional image reconstruction of skeletal tissue from computed tomography. - 57 p.

Source: Masters Abstracts International, Volume: 39-06, page: 1586.

Thesis (M.S.C.S.)--West Virginia University, 2000.

Edge Detection Techniques play a very important role in medical imaging. Pre-operative diagnosis of diseases such as cancer, tumors, bone fractures etc. depend on edge detection techniques to identify the malignant growths. In orthopedics, edge detection techniques are used in the reconstruction of the skeletal system from modalities such as MRI (magnetic resonance imaging) and CT (computed tomography).

ISBN: 0493220313Subjects--Topical Terms:

626642
Computer Science.

Three-dimensional image reconstruction of skeletal tissue from computed tomography.
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500 $a Source: Masters Abstracts International, Volume: 39-06, page: 1586.
500 $a Chair: Bojan Cukic.
502 $a Thesis (M.S.C.S.)--West Virginia University, 2000.
520 $a Edge Detection Techniques play a very important role in medical imaging. Pre-operative diagnosis of diseases such as cancer, tumors, bone fractures etc. depend on edge detection techniques to identify the malignant growths. In orthopedics, edge detection techniques are used in the reconstruction of the skeletal system from modalities such as MRI (magnetic resonance imaging) and CT (computed tomography).
520 $a In this thesis, we develop a simple process for the three dimensional image reconstruction of the human knee, starting from computed tomography scans. Designing a digital image processing technique which successfully separates the bone from the surrounding flesh and muscle tissue is the main focus of the thesis. We use edge detection procedures to extract the edge of the bone. After the bone edge is determined, we proceed to extract the coordinates of the bone boundary. These coordinates are plotted in 3 dimensional space providing the 3D model of the human skeletal leg.
520 $a The 3D reconstruction method developed in this thesis is applicable to all skeletal tissue but is illustrated using the CT images of the human leg.
590 $a School code: 0256.
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