Parallel Acceleration on Removal of Optical Mapping Baseline Wandering

Area of Science:

• Cardiovascular Physiology
• Biomedical Imaging
• Computational Biology

Background:

• Optical mapping using fluorescent dyes is crucial for studying cardiac electrophysiology dynamics.
• Baseline drift in fluorescence signals, caused by factors like photobleaching and movement artifacts, complicates the analysis of transmembrane potential (Vm) and intracellular calcium ([Cai]) changes.
• Existing methods for baseline correction are often tailored to specific experimental setups, limiting broader application.

Purpose of the Study:

• To develop and present a robust and efficient technique for correcting baseline wandering in optical mapping fluorescence signals.
• To improve the accuracy of analyzing transmembrane potential and intracellular calcium dynamics in cardiac electrophysiology studies.
• To provide a versatile solution applicable across various experimental conditions and instrumentation.

Main Methods:

• Implementation of a technique based on finite impulse response (FIR) filters.
• Utilizing paralleled acceleration on Graphics Processing Units (GPUs) and multi-core Central Processing Units (CPUs).
• Development within the MATLAB environment for accessibility and integration.

Main Results:

• The presented FIR filter technique effectively mitigates baseline drift in optical mapping signals.
• The paralleled acceleration approach significantly enhances computational efficiency for real-time or large-scale data processing.
• The method provides a reliable means to extract small fractional changes (often <10%) in fluorescence signals relevant to Vm and [Cai].

Conclusions:

• The developed FIR filter technique offers a significant advancement in processing optical mapping data for cardiac electrophysiology.
• This GPU- and CPU-accelerated method provides an efficient and accurate solution for baseline correction, enhancing the study of cardiac dynamics.
• The technique's versatility and improved accuracy can facilitate more precise investigations into cardiac function and disease.