CAJ | 학술논문

为重建高质量的矢／冠状图像,以满足医生在临床诊断与治疗时更加准确地掌握患者组织器官及病灶形态的分布情况，采用随机迭代函数系统（IFS）算法对序列CT／MRI断层图像进行分形插值计算，提出了基于插值曲线型值采样点序列波形局部网格分形维，实现对仿射中的垂直尺度因子的估计方法。实验结果表明，采用该算法进行插值计算，可较好地保留图像的纹理特征，获得高分辨率图像。算法占用内存少、计算速度快、精度高，可推广应用于一般的灰度图像插值计算。
위중건고질량적시／관상도상,이만족의생재림상진단여치료시경가준학지장악환자조직기관급병조형태적분포정황，채용수궤질대함수계통（IFS）산법대서렬CT／MRI단층도상진행분형삽치계산，제출료기우삽치곡선형치채양점서렬파형국부망격분형유，실현대방사중적수직척도인자적고계방법。실험결과표명，채용해산법진행삽치계산，가교호지보류도상적문리특정，획득고분변솔도상。산법점용내존소、계산속도쾌、정도고，가추엄응용우일반적회도도상삽치계산。
High quality coronal and sagittal images are needed to help doctors accarately locate the structures and locations around organs and focal lesions in patients for clinic diagnosis and treatment. A set of CT/MRI images were interpolated using the fractal geometry interpolation algorithm based on the iterated function system (IFS). The vertical scaling factors of the IFS were estimated according to the local box dimension of the sample data set. The experiments showed that the texture of the interpolated images can be retained with high resolution. There are many advantages of the algorithm, i.e. reducing memory and time; getting precise images. The algorithm can also be applied for interpolating general grey level images.