科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
8期
207-209
,共3页
赵志升%张晓%梁俊花%叶永飞
趙誌升%張曉%樑俊花%葉永飛
조지승%장효%량준화%협영비
背景差分%医学图像%重构
揹景差分%醫學圖像%重構
배경차분%의학도상%중구
background difference%medical image%reconstruction
通过对人体心脏器官的医学图像重建,为实现三维可视化手术及图像重构提供图像基础.传统的心脏医学图像重建方法采用的是三维坐标点动态数据采集算法,当测量点相对散乱时无法满足心脏器官重建的准确性要求.提出一种融入背景差分连续重构的心脏医学图像重建方法,进行图像细节纹理的灰度化图像进行提升分离,定义表面渲染的选项,计算二维层状图像纹理特征像素点检测沿幅角方向上模值的极大值点,得到三维成像的仿真视景图像的质心位置,采用二阶累积泰勒展开算法,对三维图像模型进行心脏图像的纹理特征提取,实现算法改进.仿真结果得出,采用该算法进行心脏医学图像重建,重建表面的最大误差显著减少,重建精度较高,重建时间减少,在实时性和精确性上性能优越.
通過對人體心髒器官的醫學圖像重建,為實現三維可視化手術及圖像重構提供圖像基礎.傳統的心髒醫學圖像重建方法採用的是三維坐標點動態數據採集算法,噹測量點相對散亂時無法滿足心髒器官重建的準確性要求.提齣一種融入揹景差分連續重構的心髒醫學圖像重建方法,進行圖像細節紋理的灰度化圖像進行提升分離,定義錶麵渲染的選項,計算二維層狀圖像紋理特徵像素點檢測沿幅角方嚮上模值的極大值點,得到三維成像的倣真視景圖像的質心位置,採用二階纍積泰勒展開算法,對三維圖像模型進行心髒圖像的紋理特徵提取,實現算法改進.倣真結果得齣,採用該算法進行心髒醫學圖像重建,重建錶麵的最大誤差顯著減少,重建精度較高,重建時間減少,在實時性和精確性上性能優越.
통과대인체심장기관적의학도상중건,위실현삼유가시화수술급도상중구제공도상기출.전통적심장의학도상중건방법채용적시삼유좌표점동태수거채집산법,당측량점상대산란시무법만족심장기관중건적준학성요구.제출일충융입배경차분련속중구적심장의학도상중건방법,진행도상세절문리적회도화도상진행제승분리,정의표면선염적선항,계산이유층상도상문리특정상소점검측연폭각방향상모치적겁대치점,득도삼유성상적방진시경도상적질심위치,채용이계루적태륵전개산법,대삼유도상모형진행심장도상적문리특정제취,실현산법개진.방진결과득출,채용해산법진행심장의학도상중건,중건표면적최대오차현저감소,중건정도교고,중건시간감소,재실시성화정학성상성능우월.
The medical image on human cardiac tissue reconstruction image, providing foundation for the realization of three-dimensional visualization operation and image reconstruction. The cardiac medical image reconstruction of the tradi-tional method is the 3D coordinates of points of dynamic data collection algorithm, it cannot meet the requirements of heart organ reconstruction accuracy when measuring point when relatively scattered. Put forward a kind of blend into the back-ground difference heart medical image reconstruction method divides the continuous reconstruction, grayscale image tex-ture to improve the separation, the definition of surface rendering options, maximum value calculation of two-dimensional layered image texture feature pixel point detection direction along the argument module value, get the simulation of 3D im-aging visual image centroid position, using two order cumulant Taylor expansion algorithm, texture feature extraction for car-diac image of 3D image model, the improved algorithm,. Simulation results show that using the algorithm for cardiac medi-cal image reconstruction, the maximum error of the reconstructed surface reconstruction precision, significantly reduce the reconstruction time is reduced, in real time and accuracy of superior performance.