Improved Visualization of Gastrointestinal Slow Wave Propagation Using a Novel Wavefront-Orientation Interpolation Technique

• Published in: IEEE transactions on biomedical engineering Vol. 65; no. 2; pp. 319 - 326
• Main Authors: Mayne, Terence P., Paskaranandavadivel, Niranchan, Erickson, Jonathan C., OGrady, Gregory, Cheng, Leo K., Angeli, Timothy R.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Activation; Algorithms; Animation; Arrays; bioelectrical; Computer Simulation; Data visualization; Electrodes; electrophysiology; Gastrointestinal Motility - physiology; High resolution; Humans; Image Processing, Computer-Assisted - methods; Interpolation; Mapping; Mathematical analysis; Methods; Orientation; Orientation behavior; Propagation; Robustness; Signal Processing, Computer-Assisted; Smoothness; stomach; Stomach - diagnostic imaging; Stomach - physiology; Therapeutic applications; Visualization; Wave fronts; wave interpolation; Wave propagation
• ISSN: 0018-9294; 1558-2531; 1558-2531
• DOI: 10.1109/TBME.2017.2764945

Objective: High-resolution mapping of gastrointestinal (GI) slow waves is a valuable technique for research and clinical applications. Interpretation of high-resolution GI mapping data relies on animations of slow wave propagation, but current methods remain as rudimentary, pixelated electrode activation animations. This study aimed to develop improved methods of visualizing high-resolution slow wave recordings that increases ease of interpretation. Methods: The novel method of "wavefront-orientation" interpolation was created to account for the planar movement of the slow wave wavefront, negate any need for distance calculations, remain robust in atypical wavefronts (i.e., dysrhythmias), and produce an appropriate interpolation boundary. The wavefront-orientation method determines the orthogonal wavefront direction and calculates interpolated values as the mean slow wave activation-time (AT) of the pair of linearly adjacent electrodes along that direction. Stairstep upsampling increased smoothness and clarity. Results: Animation accuracy of 17 human high-resolution slow wave recordings (64-256 electrodes) was verified by visual comparison to the prior method showing a clear improvement in wave smoothness that enabled more accurate interpretation of propagation, as confirmed by an assessment of clinical applicability performed by eight GI clinicians. Quantitatively, the new method produced accurate interpolation values compared to experimental data (mean difference 0.02 ± 0.05 s) and was accurate when applied solely to dysrhythmic data (0.02 ± 0.06 s), both within the error in manual AT marking (mean 0.2 s). Mean interpolation processing time was 6.0 s per wave. Conclusion and Significance: These novel methods provide a validated visualization platform that will improve analysis of high-resolution GI mapping in research and clinical translation.