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Features of the diagnostic information processing for congenital lung malformations in newborns for the automated analysis and surgical navigation systems.

机译:新生儿对新生儿诊断信息处理的特点,用于自动化分析和外科手术系统。

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The article describes the processes of collecting and adapting the diagnostic information necessary for use in automated analysis of three-dimensional images and surgical navigation. The work is carried out on the basis of the NMRC Obstetrics, Gynecology And Perinatology named after V.I. Kulakov of the Ministry of Health of the Russian Federation with the financial support of the Ministry of Science and Education of the Russian Federation (Agreement dated 03.10.2016 No. 14.607.21.0162, unique identifier RFMEFI60716X0162) The work is devoted to the features of collection, segmentation and description of the results of preoperative radiological diagnostics of newborn patients with congenital malformations of the lungs, such as bronchopulmonary sequestration (BS) and congenital cystic adenomatous malformation (CCAM). The goal of the work is the development of standards for the collection, classification and segmentation of various diagnostic information of congenital lung malformations in newborns necessary to use in automated three-dimensional image analysis and surgical navigation. In order to expand the scope of application, it was decided to supplement the data bank with information from the patient's phenotypic chart, compiled by the clinical geneticist when examining the patient. According to the developed and implemented algorithms we collected and segmented 924 series of images belonging to 148 patients with lung anomalies and 356 series of normal lung. Available text descriptions of the series are reconstructed to the original developed standard.
机译:本文介绍了收集和调整用于自动分析所必需的诊断信息的过程和手术导航所需的过程。这项工作是根据v.i命名的NMRC产科,妇科和肛门学进行的。俄罗斯联邦卫生部Kulakov与俄罗斯联邦科学和教育部的财政支持(协议日期为03.10.2016号14.607.21.0162,唯一标识符RFMEFII6071616X0162)该工作致力于收集的特征,分割和新生儿患者肺部的先天畸形,如肺隔离(BS)和先天性囊性腺瘤性畸形(CCAM)的术前放射性诊断结果的描述。该工作的目标是在新生儿中用于自动三维图像分析和手术导航的新生儿中先天性肺部畸形的各种诊断信息的集合,分类和分割的标准的发展。为了扩大申请范围,决定使用患者表型图表的信息库,由临床遗传学家在检查患者时编制的。根据我们收集的发达和实施的算法,并分割了924系列图像,属于148例肺异常和356系列正常肺部。该系列的可用文本描述是重建于原始开发的标准。

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