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研究生:楊慶隆
研究生(外文):Ching-Long Young
論文名稱:超音波影像處理及其立體影像重建
論文名稱(外文):Ultrasound image processing and its 3D reconstruction
指導教授:陳立祥,蔡良敏
指導教授(外文):Lih-Shyang Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:1994
畢業學年度:82
語文別:中文
論文頁數:60
中文關鍵詞:超音波掃描輪廓
外文關鍵詞:ultrasound sector scannercontour
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目前醫學界使用最普遍,最便宜,最快速,最安全的非破壞性診斷內臟儀
器就是超音波掃描。但其掃出的影像卻是2D剖面圖,若能利用電腦將其
轉成3D圖形,將能大幅提高醫師的診斷力和超音波掃描的價值。超音波
掃描與MRI ( Magnetic Resonance Imaging ),CT ( Computed
Tomography ) ..之不同在於:前者適用於靜態動態內臟掃描,後者僅
能作靜態掃描。比如超音波能做心臟透視,MRI則否。且其速度快能爭
取時效性,是超音波掃描的優點。但其影像品質卻相當差,且其掃描方式
與MRI不同,使得其重建成3D圖形過程困難重重。所以,本論文以左
心室超音波掃描為例,來闡明如何將2D超音波掃描圖形,重建成3D物
件。超音波掃描重建3D步驟如下所示:1.將超音波掃描機器產生的資
料轉成我們需要的資料。2.將左心室的輪廓找出來。要做到全自動找出
左心室輪廓,相當困難。而本論文先以一些數位影像處理的技巧改善影像
品質,再以本論文所提出方式找出左心室的輪廓。3.將所有左心室輪廓
根據其掃描角度予以旋轉建立3D物件。事先建好一些旋轉計算所需資料
的表,以減少3D重建的運算量,再予以旋轉重建。雖然本論文以左心室
為例,但並不以此為限,舉凡超音波掃描資料皆可使用此3D重建之演算
法,快速地轉成3D圖形。 

The ultrasound sector scanner is the most pervasive, cheapest,
fastest, and safest tool for medical diagnosis of a human body
compared with other imaging modalities. Since the ultrasound
images are basically the 2D cross-sectional images, the
accuracy and efficiency of physicians' diagnoses can be
significantly improved if the 3D objects can be reconstructed
from those 2D images by computers. The ultrasound images are
different from MRI (Magnetic Resonance Imaging) and CT
(Computed Tomography) images in the sense that they are real-
time images. Therefore, they can be used effectively for
imaging moving objects, such as a beating heart. In spite of
the merits of ultrasound images, their 3D image reconstruction
is much more difficult compared with those of the MRI and CT
images due to the poor image quality and resolution of the 2D
ultrasound images. In this paper, the algorithms for 3D image
reconstruction of the ultrasound images of left-ventricular are
proposed. The major algorithm can be divided into 3 steps. 1.
Transforming the original data of ultrasound sector scanner
into certain format for further processing.2. Extracting the
contour of left-ventricle automatically.We improve quality of
images by some digital image processing techniques.Then, we
propose an efficient algorithm to extract automatically the
contour of left-ventricle.3. Reconstructing the 3D object using
all the contours of the left-ventricle images taken at the same
time instant of different periods with different orientations.
We propose a table look-up algorithm to reconstruct the 3D
object from the 2D contours. The table look-up method can
reduce a lot of computation time. After the 3D object is
reconstructed, it can be displayed on the screen using 3D
computer graphics techniques. The volume of the 3D object can
be calculated at the reconstruction time. The 3D reconstruction
algorithm for the 2D ultrasound images can be applied to any
other ultrasound images to reconstruct the 3D objects.

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