基于分割的儿科计算机断层扫描中患者体型和特定体型剂量估算的自动计算。

IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Medical Physics Pub Date : 2024-07-01 Epub Date: 2024-09-21 DOI:10.4103/jmp.jmp_26_24
Muhammad Kabir Abdulkadir, Noor Diyana Osman, Anusha Achuthan, Radin A Nasirudin, Muhammad Zabidi Ahmad, Noor Hasyima Mat Zain, Ibrahim Lutfi Shuaib
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引用次数: 0

摘要

背景和目的:尺寸特异性剂量估计(SSDE)已被引入计算机断层扫描(CT)剂量测定,以适应患者的独特尺寸,从而促进准确的 CT 辐射剂量量化和优化。本研究的目的是开发并验证一种自动算法,用于确定患者体型(有效直径)和 SSDE:使用 MATLAB 平台开发基于图像分割技术的算法软件,以自动计算患者尺寸和 SSDE。该算法用于自动估算四个 CT 剂量指数模型和 80 张儿科患者 CT 图像(包括头部、胸部和腹部扫描)的个体大小和 SSDE。为了进行验证,还使用了美国医学物理学家协会(AAPM)的手动方法来确定相同受试者的患者体型和 SSDE。使用布兰德-阿尔特曼(Bland-Altman)一致性和皮尔逊(Pearson)相关系数评估了拟议算法在计算患者体型和 SSDE 方面的准确性,以及与 AAPM 估算值(手动)的一致性。得出了方法之间的归一化误差、系统偏差和一致性极限(LOA):结果表明,自动方法与 AAPM 患者体型估计方法的一致性和准确性良好,在患者和模型研究中的误差率分别为 1.9% 和 0.27%。自动和人工(AAPM)SSDE 估计值之间的百分比差异为 1%。临床研究方法(r > 0.9771)和模型研究方法(r > 0.9999)之间的相关性很强,LOA 很窄:结论:所提出的自动算法能准确估算患者大小和 SSDE,经过验证后误差可忽略不计。
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A Segmentation-based Automated Calculation of Patient Size and Size-specific Dose Estimates in Pediatric Computed Tomography Scans.

Background and purpose: Size-specific dose estimates (SSDE) have been introduced into computed tomography (CT) dosimetry to tailor patients' unique sizes to facilitate accurate CT radiation dose quantification and optimization. The purpose of this study was to develop and validate an automated algorithm for the determination of patient size (effective diameter) and SSDE.

Materials and methods: A MATLAB platform was used to develop software of algorithms based on image segmentation techniques to automate the calculation of patient size and SSDE. The algorithm was used to automatically estimate the individual size and SSDE of four CT dose index phantoms and 80 CT images of pediatric patients comprising head, thorax, and abdomen scans. For validation, the American Association of Physicists in Medicine (AAPM) manual methods were used to determine the patient's size and SSDE for the same subjects. The accuracy of the proposed algorithm in size and SSDE calculation was evaluated for agreement with the AAPM's estimations (manual) using Bland-Altman's agreement and Pearson's correlation coefficient. The normalized error, system bias, and limits of agreement (LOA) between methods were derived.

Results: The results demonstrated good agreement and accuracy between the automated and AAPM's patient size estimations with an error rate of 1.9% and 0.27% on the patient and phantoms study, respectively. A 1% percentage difference was found between the automated and manual (AAPM) SSDE estimates. A strong degree of correlation was seen with a narrow LOA between methods for clinical study (r > 0.9771) and phantom study (r > 0.9999).

Conclusion: The proposed automated algorithm provides an accurate estimation of patient size and SSDE with negligible error after validation.

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来源期刊
Journal of Medical Physics
Journal of Medical Physics RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.10
自引率
11.10%
发文量
55
审稿时长
30 weeks
期刊介绍: JOURNAL OF MEDICAL PHYSICS is the official journal of Association of Medical Physicists of India (AMPI). The association has been bringing out a quarterly publication since 1976. Till the end of 1993, it was known as Medical Physics Bulletin, which then became Journal of Medical Physics. The main objective of the Journal is to serve as a vehicle of communication to highlight all aspects of the practice of medical radiation physics. The areas covered include all aspects of the application of radiation physics to biological sciences, radiotherapy, radiodiagnosis, nuclear medicine, dosimetry and radiation protection. Papers / manuscripts dealing with the aspects of physics related to cancer therapy / radiobiology also fall within the scope of the journal.
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