中国组织工程研究
中國組織工程研究
중국조직공정연구
Journal of Clinical Rehabilitative Tissue Engineering Research
2014年
49期
7967-7973
,共7页
陈中中%张建飞%苏智剑%连登伟%杨亚茹%朱慧玉
陳中中%張建飛%囌智劍%連登偉%楊亞茹%硃慧玉
진중중%장건비%소지검%련등위%양아여%주혜옥
实验动物%组织工程%心腔%解剖结构%三维重建%断层数据%器官和组织%图像配准%图像分割%聚类法%区域生长法%图像熵
實驗動物%組織工程%心腔%解剖結構%三維重建%斷層數據%器官和組織%圖像配準%圖像分割%聚類法%區域生長法%圖像熵
실험동물%조직공정%심강%해부결구%삼유중건%단층수거%기관화조직%도상배준%도상분할%취류법%구역생장법%도상적
heart atria%heart ventricles%image processing,computer-assisted%cardiac electrophysiology%models,cardiovascular
背景:心脏内部各腔室精细结构的数字化三维模型,不仅能够加强对心脏生理的认识,还能为心脏电生理仿真与心内膜电生理标测导航的研究提供重要的基础医学数据。目的:建立符合心腔实际解剖结构的三维数据,建立反映心脏内部各腔室结构的数字化三维模型。方法:在 MATLAB软件环境下完成图像分割,首先对医学人体断层数据集中心脏切片图像进行自动配准,再运用聚类法根据图像的颜色特征对图像中各组织与成分进行分类,随后经区域生长法处理实现心腔及相关连通区域的图像分割与提取。所得图像导入专用医学图像处理软件,完成心腔三维模型重建。结果和结论:所提出的方法能够重建出较为精细的心腔结构三维模型。此模型中左右心房、心室结构明晰,能清楚地观察到主动脉、上腔静脉等血管,三尖瓣与二尖瓣等微细结构也有所体现。结果说明,重建的三维模型能够准确地反映出人体心腔解剖学结构特征,为心脏电生理方面的仿真和标测研究提供基础的医学数据支持。
揹景:心髒內部各腔室精細結構的數字化三維模型,不僅能夠加彊對心髒生理的認識,還能為心髒電生理倣真與心內膜電生理標測導航的研究提供重要的基礎醫學數據。目的:建立符閤心腔實際解剖結構的三維數據,建立反映心髒內部各腔室結構的數字化三維模型。方法:在 MATLAB軟件環境下完成圖像分割,首先對醫學人體斷層數據集中心髒切片圖像進行自動配準,再運用聚類法根據圖像的顏色特徵對圖像中各組織與成分進行分類,隨後經區域生長法處理實現心腔及相關連通區域的圖像分割與提取。所得圖像導入專用醫學圖像處理軟件,完成心腔三維模型重建。結果和結論:所提齣的方法能夠重建齣較為精細的心腔結構三維模型。此模型中左右心房、心室結構明晰,能清楚地觀察到主動脈、上腔靜脈等血管,三尖瓣與二尖瓣等微細結構也有所體現。結果說明,重建的三維模型能夠準確地反映齣人體心腔解剖學結構特徵,為心髒電生理方麵的倣真和標測研究提供基礎的醫學數據支持。
배경:심장내부각강실정세결구적수자화삼유모형,불부능구가강대심장생리적인식,환능위심장전생리방진여심내막전생리표측도항적연구제공중요적기출의학수거。목적:건립부합심강실제해부결구적삼유수거,건립반영심장내부각강실결구적수자화삼유모형。방법:재 MATLAB연건배경하완성도상분할,수선대의학인체단층수거집중심장절편도상진행자동배준,재운용취류법근거도상적안색특정대도상중각조직여성분진행분류,수후경구역생장법처리실현심강급상관련통구역적도상분할여제취。소득도상도입전용의학도상처리연건,완성심강삼유모형중건。결과화결론:소제출적방법능구중건출교위정세적심강결구삼유모형。차모형중좌우심방、심실결구명석,능청초지관찰도주동맥、상강정맥등혈관,삼첨판여이첨판등미세결구야유소체현。결과설명,중건적삼유모형능구준학지반영출인체심강해부학결구특정,위심장전생리방면적방진화표측연구제공기출적의학수거지지。
BACKGROUND:Digital three-dimensional model which can reflect the fine structure of the chambers inside heart not only enhances the understanding of cardiac physiology, but also provides basic medical data for the study of cardiac electrophysiology simulation and endocardial electrophysiological mapping navigation. OBJECTIVE:To construct the digital three-dimensional model of cardiac cavity from sectional data and in conformity with the actual anatomical structure. METHODS:Image segmentation was accomplished in MATLAB environment. Firstly, registration of human cardiac cavity slice dataset was realized. Secondly, classifying each composition was achieved by clustering method according to color characteristics of the image. Then, both cardiac cavity and related connected region was distinguished by region growing method. At last, the processed image was reconstructed through dedicated medical processing software into three-dimensional model of the cardiac cavity. RESULTS AND CONCLUSION:The proposed method could reconstruct quite exquisite three-dimensional model of the cardiac cavity. In models, left and right atrial and ventricular structure was clear. Aorta and superior vena cava were visible. Three tricuspid and mitral valve were also observed. Results indicated that reconstructed model can reflect the anatomical characteristics of cardiac cavity accurately, and provide basic medical data for the study on electrophysiological simulation and endocardial electric mapping.