动态对比增强磁共振成像和超声中的盲反卷积

Blind deconvolution in dynamic contrast-enhanced MRI and ultrasound.

作者信息

Jiřík Radovan, Souček Karel, Mézl Martin, Bartoš Michal, Dražanová Eva, Dráfi František, Grossová Lucie, Kratochvíla Jiří, Macíček Ondřej, Nylund Kim, Hampl Aleš, Gilja Odd Helge, Taxt Torfinn, Starčuk Zenon

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:4276-9. doi: 10.1109/EMBC.2014.6944569.

DOI:10.1109/EMBC.2014.6944569

PMID:25570937

Abstract

This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both MRI and ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) and indices (AUC, TTP) that are only related to the physiological perfusion parameters of a tissue (e.g. blood flow, vessel permeability) but do not allow their absolute quantification. Recent methods for quantification of these physiological perfusion parameters are shortly reviewed. The main problem of these methods is estimation of the arterial input function (AIF). This paper summarizes and extends the current blind-deconvolution approaches to AIF estimation. The feasibility of these methods is shown on a small preclinical study using both MRI and ultrasound.

摘要

本文聚焦于使用磁共振成像（MRI）和超声进行定量灌注分析。在MRI和超声中，大多数方法都能够估算速率常数（MRI中的Ktrans、kep）和指数（AUC、TTP），这些仅与组织的生理灌注参数（如血流、血管通透性）相关，但无法实现对它们的绝对定量。本文简要回顾了用于量化这些生理灌注参数的最新方法。这些方法的主要问题在于动脉输入函数（AIF）的估算。本文总结并扩展了当前用于AIF估算的盲反卷积方法。在一项同时使用MRI和超声的小型临床前研究中展示了这些方法的可行性。