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基于分辨率增强压缩的小病灶检测

Small lesion detection with resolution enhancement compression.

机构信息

Beckman Institute, 405 N. Mathews, Urbana, Illinois 61801, USA.

出版信息

Ultrason Imaging. 2010 Jan;32(1):16-32. doi: 10.1177/016173461003200102.

Abstract

A novel coded-excitation method, resolution-enhancement compression (REC), increases the axial resolution and the echo signal-to-noise ratio (eSNR) for an ultrasonic imaging system. The REC technique was examined for its ability to improve lesion detectability. The REC technique was used to double the -3-dB fractional pulse-echo bandwidth of an ultrasonic source in both simulations and experiments. The increase in usable bandwidth increased lesion detectability compared to conventional pulsing (CP) techniques and coded excitation using a linear chirp (LC). Lesion detectibility was quantified through lesion signal-to-noise ratio (lSNR), which is a metric that quantifies the ability of an isolated observer to detect a focal lesion against a background. In simulations, a higher lSNR value was observed using the REC technique for lesions ranging in size from 1 mm to 8 mm in diameter. In addition, the eSNR was increased by almost 15 dB. To validate simulation results, a hydrogel-cone phantom was constructed to provide lesions with +6-dB contrast of different sizes. A transducer was scanned perpendicular to the major axis of the cone at different levels to provide lesions of 3, 5 and 8 mm in diameter. The lSNR was estimated for lesions of different sizes and using the three excitation techniques, i.e., CP, LC and REC. In experiments, the lSNR was observed to be higher using the REC technique than the other pulsing techniques. The lSNR scores for REC were higher by 15%, 45% and 40% for the 3, 5 and 8 mm over the other two excitation techniques. The eSNR was increased by 5.7 dB. Therefore, according to the lSNR metric, the improvement in spatial resolution from the REC technique resulted in improved detectability of small lesions.

摘要

一种新的编码激励方法,分辨率增强压缩(REC),提高了超声成像系统的轴向分辨率和回波信号噪声比(eSNR)。检查了 REC 技术提高病变检测能力的能力。在模拟和实验中,REC 技术将超声源的-3dB 分数脉冲回波带宽增加了一倍。与传统的脉冲(CP)技术和使用线性啁啾(LC)的编码激励相比,可用带宽的增加提高了病变的检测能力。通过病变信号噪声比(lSNR)量化病变检测能力,这是一种量化独立观察者检测背景下焦点病变的能力的指标。在模拟中,使用 REC 技术观察到大小从 1 毫米到 8 毫米的病变的 lSNR 值更高。此外,eSNR 增加了近 15dB。为了验证模拟结果,构建了水凝胶-圆锥体模型,以提供不同大小的+6dB 对比度的病变。换能器以不同的水平垂直于圆锥体的主轴进行扫描,以提供直径为 3、5 和 8 毫米的病变。使用三种激励技术,即 CP、LC 和 REC,估计不同大小的病变的 lSNR。在实验中,与其他两种激励技术相比,使用 REC 技术观察到 lSNR 更高。对于 3、5 和 8 毫米的病变,REC 的 lSNR 评分比其他两种激励技术高 15%、45%和 40%。eSNR 增加了 5.7dB。因此,根据 lSNR 指标,REC 技术提高空间分辨率可提高小病变的检测能力。

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