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.
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.
Authors: N Paskaranandavadivel; L K Cheng; P Du; J M Rogers; G O'Grady Journal: Am J Physiol Gastrointest Liver Physiol Date: 2017-05-25 Impact factor: 4.052
Authors: Rachel Berry; Taimei Miyagawa; Niranchan Paskaranandavadivel; Peng Du; Timothy R Angeli; Mark L Trew; John A Windsor; Yohsuke Imai; Gregory O'Grady; Leo K Cheng Journal: Am J Physiol Gastrointest Liver Physiol Date: 2016-09-22 Impact factor: 4.052
Authors: G O'Grady; P Du; N Paskaranandavadivel; T R Angeli; W J E P Lammers; S J Asirvatham; J A Windsor; G Farrugia; A J Pullan; L K Cheng Journal: Neurogastroenterol Motil Date: 2012-07 Impact factor: 3.598
Authors: Timothy R Angeli; Leo K Cheng; Peng Du; Tim Hsu-Han Wang; Cheryl E Bernard; Maria-Giuliana Vannucchi; Maria Simonetta Faussone-Pellegrini; Christopher Lahr; Ryash Vather; John A Windsor; Gianrico Farrugia; Thomas L Abell; Gregory O'Grady Journal: Gastroenterology Date: 2015-04-08 Impact factor: 22.682
Authors: T R Angeli; P Du; N Paskaranandavadivel; S Sathar; A Hall; S J Asirvatham; G Farrugia; J A Windsor; L K Cheng; G O'Grady Journal: Neurogastroenterol Motil Date: 2016-12-29 Impact factor: 3.598
Authors: Timothy R Angeli; Gregory O'Grady; Niranchan Paskaranandavadivel; Jonathan C Erickson; Peng Du; Andrew J Pullan; Ian P Bissett; Leo K Cheng Journal: J Neurogastroenterol Motil Date: 2013-04-16 Impact factor: 4.924