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一种软参考乳房超声波图像质量评估方法,考虑当地的损伤区域

Ziwen Wang^1,2, Yuxin Song², Baoliang Zhao²

¹School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China.

Bioengineering (Basel, Switzerland)

|August 26, 2023

概括

乳房超声波图像的新全球局部图像质量评估 (IQA) 框架优先考虑病变区域分析. 与传统的全球IQA方法相比,这种方法显著提高了诊断准确性.

科学领域:

医疗成像医学成像
人工智能的人工智能
诊断的准确性诊断的准确性

背景情况:

乳房超声波图像质量对于准确的疾病诊断至关重要.
当前的图像质量评估 (IQA) 方法往往忽略了病变区域,专注于整体图像特征.
医生对超声波图像质量的临床评估强调了局部损伤区域.

研究的目的:

为乳房超声波图像开发一个全球-本地集成的IQA框架,模仿临床评估标准.
通过结合局部损伤区域评估来提高IQA的准确性.

主要方法:

经验丰富的医生收集并注释了1285张乳房超声波图像.
图像分为带有病变和没有病变的图像.
在综合框架内,应用软引用IQA用于具有病变的图像和双线CNN IQA用于没有病变的图像.

主要成果:

建议用于创伤图像的软参考IQA实现了0.8418的PLCC,优于现有方法 (PLCC 0.6606).
全球-本地集成IQA框架表现出卓越的性能,整体PLCC从0.8306提高到0.8851.
该框架准确地捕获了医生对乳房超声波图像质量的临床评估标准.

结论:

拟议的全球-本地综合IQA框架通过专注于损伤区域,大大提高了乳房超声波图像质量评估.
这种方法可以提高诊断准确度,并更好地与临床专家评估保持一致.
该研究强调了局部特征分析在医学图像质量评估中的重要性.

关键词:

乳房超声波乳房超声波是什么?图像质量评估图像质量评估软参考是指一个软参考.

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