PMID- 29364117
OWN - NLM
STAT- MEDLINE
DCOM- 20190103
LR  - 20240314
IS  - 1558-2531 (Electronic)
IS  - 0018-9294 (Print)
IS  - 0018-9294 (Linking)
VI  - 65
IP  - 2
DP  - 2018 Feb
TI  - Improved Visualization of Gastrointestinal Slow Wave Propagation Using a Novel 
      Wavefront-Orientation Interpolation Technique.
PG  - 319-326
LID - 10.1109/TBME.2017.2764945 [doi]
AB  - 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.
FAU - Mayne, Terence P
AU  - Mayne TP
FAU - Paskaranandavadivel, Niranchan
AU  - Paskaranandavadivel N
FAU - Erickson, Jonathan C
AU  - Erickson JC
FAU - OGrady, Gregory
AU  - OGrady G
FAU - Cheng, Leo K
AU  - Cheng LK
FAU - Angeli, Timothy R
AU  - Angeli TR
LA  - eng
GR  - R01 DK064775/DK/NIDDK NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - IEEE Trans Biomed Eng
JT  - IEEE transactions on bio-medical engineering
JID - 0012737
SB  - IM
MH  - Algorithms
MH  - Computer Simulation
MH  - Gastrointestinal Motility/*physiology
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - Signal Processing, Computer-Assisted
MH  - Stomach/*diagnostic imaging/physiology
PMC - PMC5902405
MID - NIHMS936689
COIS- Conflicts of Interest Authors TRA, NP, JCE, GOG, and LKC hold intellectual 
      property in the field of gastric electrophysiology and are shareholders in 
      FlexiMap. TPM declares no conflicts of interest. No commercial financial support 
      was received for this study.
EDAT- 2018/01/25 06:00
MHDA- 2019/01/04 06:00
PMCR- 2019/02/01
CRDT- 2018/01/25 06:00
PHST- 2018/01/25 06:00 [entrez]
PHST- 2018/01/25 06:00 [pubmed]
PHST- 2019/01/04 06:00 [medline]
PHST- 2019/02/01 00:00 [pmc-release]
AID - 10.1109/TBME.2017.2764945 [doi]
PST - ppublish
SO  - IEEE Trans Biomed Eng. 2018 Feb;65(2):319-326. doi: 10.1109/TBME.2017.2764945.