Parallel Acceleration on Removal of Optical Mapping Baseline Wandering.

Computing in cardiology Pub Date : 2019-09-01 Epub Date: 2020-02-24 DOI:10.22489/cinc.2019.433
Ilija Uzelac, Shahriar Iravanian, Flavio H Fenton
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引用次数: 0

Abstract

Optical mapping measurements on hearts stained with fluorescent dyes is imagining method widely accepted and recognized as a tool to study complex spatial-temporal dynamics of cardiac electro-physiology. One shortcoming of the method is baseline wandering in obtained fluorescence signals as signals relevant to transmembrane potential (Vm) change and free intracellular calcium concentration ([Ca]i +2), the two most used dyes, are calculated as a relative signal change in respect to the fluorescence baseline. These changes are small fractional changes often smaller than 10 %. Baseline fluorescence drifts due to dye photo-bleaching, heart contraction/movement artifacts, and stability of the excitation light source over time. Depending on experimental instrumentation, recording duration, signal to noise levels and study aims of the optical imagining, many research groups adopted their own techniques tailored to a specific experimental data. Here we present a technique based on finite impulse response (FIR) filters with paralleled acceleration implemented on GPUs and multi-core CPU, in MATLAB.

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Abstract Image

Abstract Image

平行加速消除光学映射基线漂移。
荧光染料染色心脏光学测图是一种被广泛接受和公认的研究心脏电生理复杂时空动态的想象方法。该方法的一个缺点是所获得的荧光信号基线徘徊,因为与跨膜电位(Vm)变化和细胞内游离钙浓度([Ca]i +2)这两种最常用的染料相关的信号是作为相对于荧光基线的相对信号变化来计算的。这些变化很小,通常小于10%。基线荧光漂移由于染料光漂白,心脏收缩/运动伪影,以及随着时间的推移激发光源的稳定性。根据实验仪器、记录时间、信号噪声水平和光学成像的研究目的,许多研究小组采用了他们自己的技术来定制特定的实验数据。本文提出了一种基于有限脉冲响应(FIR)滤波器的并行加速技术,该技术在gpu和多核CPU上实现。
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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