Analysis of Differences in Cystic Ovarian Neoplasm Volume on Abdomen-Pelvis MRI with Manual Measurement Technique (Linear Measurement) and Active Contour Laplacian of Gaussian (LoG) Technique

Q4 Social Sciences
Hafsi Afrizun Khatamsi, Sugiyanto Sugiyanto, Tri Asih Budiati
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引用次数: 0

Abstract

MRI image evaluation of cystic ovarian neoplasms was done manually and is generally carried out by Radiologists using a manual technique called linear measurement. This technique has some weaknesses, including being considered a rough calculation estimate because measurements are made on only one largest slice and are vulnerable to subjectivity factors. This research applied a digital image processing program based on Matlab using a segmentation process and active contour Laplacian of Gaussian (LoG) in the measurement and calculation of the volume of cystic ovarian neoplasms. Analyze the differences in measurement results and find out which technique is better in the calculation of cystic ovarian neoplasm volume between techniques of linear measurement and techniques of active contour Laplacian of Gaussian (LoG). The research was done with 32 images of abdominal-pelvic MRI images with clinical cystic ovarian neoplasms, and measurements and calculations of the volume of cystic ovarian neoplasms were carried out using the technique linear measurement and active contour Laplacian of Gaussian (LoG). Measurement and calculation are done by Radiologists as an observer with data analysis using statistical processing. Analysis of MRI images of abdominal-pelvic MRI images with clinical cystic ovarian neoplasms using linear measurement and active contour Laplacian of Gaussian (LoG) techniques showed a difference with a p-value of 0.004 (p<0.05). The results of measurements using the active contour laplacian of the Gaussian technique are better than the linear measurement, as indicated by the higher mean rank of the active contour laplacian of Gaussian, which was 17.50 (higher than the linear measurement value of 13.50).
人工测量技术(线性测量)与主动轮廓高斯拉普拉斯(LoG)技术在腹盆MRI上囊性卵巢肿瘤体积的差异分析
囊性卵巢肿瘤的MRI图像评估是手动完成的,通常由放射科医生使用称为线性测量的手动技术进行。这种技术有一些缺点,包括被认为是粗略的计算估计,因为测量只在一个最大的切片上进行,并且容易受到主观因素的影响。本研究采用基于Matlab的数字图像处理程序,利用分割过程和活动轮廓高斯拉普拉斯算子(LoG)对卵巢囊性肿瘤的体积进行测量和计算。分析测量结果的差异,找出线性测量技术和活动轮廓拉普拉斯高斯(LoG)测量技术在计算卵巢囊性肿瘤体积时哪种技术更好。本研究采用32张临床囊性卵巢肿瘤的腹部-骨盆MRI图像,采用线性测量和活动轮廓高斯拉普拉斯(LoG)技术对囊性卵巢肿瘤体积进行测量和计算。测量和计算由作为观察者的放射科医生使用统计处理进行数据分析。采用线性测量和活动轮廓高斯拉普拉斯(LoG)技术对临床卵巢囊性肿瘤的腹盆腔MRI图像进行分析,p值差异为0.004 (p<0.05)。利用高斯技术的活动轮廓拉普拉斯算子进行测量的结果优于线性测量,高斯的活动轮廓拉普拉斯算子的平均秩为17.50(高于线性测量值13.50)。
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来源期刊
Journal of Social Research and Policy
Journal of Social Research and Policy Social Sciences-Sociology and Political Science
CiteScore
0.30
自引率
0.00%
发文量
0
审稿时长
8 weeks
期刊介绍: Welfare states have made well-being one of the main focuses of public policies. Social policies entail, however, complicated, and sometimes almost insurmountable, issues of prioritization, measurement, problem evaluation or strategic and technical decision making concerning aim-setting or finding the most adequate means to ends. Given the pressures to effectiveness it is no wonder that the last several decades have witnessed the imposition of research-based social policies as standard as well as the development of policy-oriented research methodologies. Legitimate social policies are, in this context, more and more dependent on the accurate use of diagnostic methods, of sophisticated program evaluation approaches, of benchmarking and so on. Inspired by this acute interest, our journal aims to host primarily articles based on policy research and methodological approaches of policy topics. Our journal is open to sociologically informed contributions from anthropologists, psychologists, statisticians, economists, historians and political scientists. General theoretical papers are also welcomed if do not deviate from the interests stated above. The editors also welcome reviews of books that are relevant to the topics covered in the journal.
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