A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI:10.1109/CBMS.2014.57

S. Marrone, Gabriele Piantadosi, R. Fusco, A. Petrillo, M. Sansone, Carlo Sansone

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引用次数: 16

Abstract

Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated in the last decades a great potential in screening of high-risk women for breast cancer, in staging newly diagnosed patients and in assessing therapy effects. The aim of this work is to propose a novel model-based measure for quality evaluation of image registration techniques in DCE-MRI. The proposed measure is based on a compartmental model of blood plasma and of the extra vascular extra cellular space (EES) for tumour tissue. Its suitability for evaluating image registration techniques has been indirectly verified by considering the results obtained, after each image registration technique, by a CAD segmentation system, developed in our previous work. In particular, it has been shown that the ranking obtained by means of the proposed quality assessment measure is in agreement with the ranking of the CAD segmentation systems, proving that our measure can correctly evaluate image registration techniques in the DCE-MRI context.

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一种新的基于模型的DCE-MRI图像配准质量评价方法

在过去的几十年里，动态对比增强磁共振成像(DCE-MRI)在筛查乳腺癌高危妇女、对新诊断患者进行分期和评估治疗效果方面显示出巨大的潜力。这项工作的目的是提出一种新的基于模型的方法来评估DCE-MRI图像配准技术的质量。所提出的措施是基于血浆的室室模型和肿瘤组织的血管外细胞外空间(EES)。通过考虑我们在之前的工作中开发的CAD分割系统在每个图像配准技术之后获得的结果，间接验证了其评估图像配准技术的适用性。特别是，通过所提出的质量评价指标得到的排名与CAD分割系统的排名一致，证明我们的指标可以正确地评价DCE-MRI背景下的图像配准技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2014 IEEE 27th International Symposium on Computer-Based Medical Systems

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