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T 校正计算扩散加权成像:一种增强肿瘤可视化的新方法。

T-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisation.

机构信息

Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

出版信息

Comput Biol Med. 2016 Dec 1;79:92-98. doi: 10.1016/j.compbiomed.2016.09.022. Epub 2016 Oct 1.

Abstract

PURPOSE

To introduce T-adjusted computed DWI (T-cDWI), a method that provides synthetic images at arbitrary b-values and echo times (TEs) that improve tissue contrast by removing or increasing T contrast in diffusion-weighted images.

MATERIALS AND METHODS

In addition to the standard DWI acquisition protocol T-weighted echo-planar images at multiple (≥2) echo times were acquired. This allows voxelwise estimation of apparent diffusion coefficient (ADC) and T values, permitting synthetic images to be generated at any chosen b-value and echo time. An analytical model is derived for the noise properties in T-cDWI, and validated using a diffusion test-object. Furthermore, we present T-cDWI in two example clinical case studies: (i) a patient with mesothelioma demonstrating multiple disease tissue compartments and (ii) a patient with primary ovarian cancer demonstrating solid and cystic disease compartments.

RESULTS

Measured image noise in T-cDWI from phantom experiments conformed to the analytical model and demonstrated that T-cDWI at high computed b-value/TE combinations achieves lower noise compared with conventional DWI. In patients, T-cDWI with low b-value and long TE enhanced fluid signal while suppressing solid tumour components. Conversely, large b-values and short TEs overcome T shine-through effects and increase the contrast between tumour and fluid compared with conventional high-b-value DW images.

CONCLUSION

T-cDWI is a promising clinical tool for improving image signal-to-noise, image contrast, and tumour detection through suppression of T shine-through effects.

摘要

目的

介绍 T 校正计算的弥散加权成像(T-cDWI),该方法通过去除或增加弥散加权图像中的 T 对比,提供任意 b 值和回波时间(TE)的合成图像,从而改善组织对比度。

材料和方法

除了标准的 DWI 采集方案外,还在多个(≥2)TE 采集 T 加权的 EPI 图像。这允许对表观扩散系数(ADC)和 T 值进行体素估计,从而可以在任何选定的 b 值和 TE 生成合成图像。推导了 T-cDWI 的噪声特性的分析模型,并使用扩散测试对象进行了验证。此外,我们在两个临床病例研究中展示了 T-cDWI:(i)间皮瘤患者,表现出多个疾病组织隔室;(ii)原发性卵巢癌患者,表现出实性和囊性疾病隔室。

结果

来自体模实验的 T-cDWI 测量图像噪声符合分析模型,并表明高计算 b 值/TE 组合的 T-cDWI 实现了比常规 DWI 更低的噪声。在患者中,低 b 值和长 TE 的 T-cDWI 增强了液体信号,同时抑制了实性肿瘤成分。相反,大 b 值和短 TE 克服了 T 透过效应,并与常规高 b 值 DW 图像相比,增加了肿瘤和液体之间的对比度。

结论

T-cDWI 是一种很有前途的临床工具,可通过抑制 T 透过效应,提高图像的信噪比、对比度和肿瘤检测。

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