CAJ | 학술논문

计算机断层成陣(CT)对疾病的确诊意义重大，在医学图陣的自动检测中应用较多的模型为图割模型，但传统图割算法严重依赖于对复杂区域进行大量建立的模型，运算复杂且不利推广。为此，在传统图割理论基础上引入核函数，提出一种基于核图割模型的肝脏CT图陣肿瘤分割算法。通过核函数将原始数据映射到高维空间，并在高维图陣数据空间用图割理论对CT图陣的肝区与肿瘤区域进行分割，以提取疑似肿瘤区域，解决传统图割模型中需要依赖人机交互和对复杂区域建模困难等问题。由 Mercer定理得出，核空间的点积运算不需要显式指定图陣各区域的具体模型，进行核推广后克服了传统模型通用性不强的弱点。利用临床CT图陣数据对该算法进行分割实验，结果表明，基于核推广后的图割算法能够有雙对肿瘤和肝区进行分离，可应用于临床实际中作为肿瘤辅助诊断手段。
계산궤단층성진(CT)대질병적학진의의중대，재의학도진적자동검측중응용교다적모형위도할모형，단전통도할산법엄중의뢰우대복잡구역진행대량건립적모형，운산복잡차불리추엄。위차，재전통도할이론기출상인입핵함수，제출일충기우핵도할모형적간장CT도진종류분할산법。통과핵함수장원시수거영사도고유공간，병재고유도진수거공간용도할이론대CT도진적간구여종류구역진행분할，이제취의사종류구역，해결전통도할모형중수요의뢰인궤교호화대복잡구역건모곤난등문제。유 Mercer정리득출，핵공간적점적운산불수요현식지정도진각구역적구체모형，진행핵추엄후극복료전통모형통용성불강적약점。이용림상CT도진수거대해산법진행분할실험，결과표명，기우핵추엄후적도할산법능구유쌍대종류화간구진행분리，가응용우림상실제중작위종류보조진단수단。
Computed Tomography(CT) images are significant in disease diagnosis, whereas graph cut model has been widely used in the automatic detection of complicated disease. Due to the fact that the complex area of medical images is very hard to model in conventional graph cut literature, this paper adopts the kernel trick in such a way that the segmentation of tumor is computed in the high dimensional kernel space rather than in the traditional spatial space directly. The processing of complex modeling and human-computer interaction is hereby avoided thought kernel trick. Moreover, Mercer’s theory proves that the computation of kernel method is implied and the model of different area is explicitly needless, which implies that the kernel graph cuts is universal to different applications. The proposed approach is validated on a real CT image data from clinical case, and the tumor is successfully extracted from the liver images. Results show that the proposed approach can be further ameliorated and applied to clinic as an auxiliary diagnosis assistant in the further.