Theoretical and computational methods for the noninvasive detection of gastric electrical source coupling.
The ability to study the pathology of the stomach noninvasively from magnetic field measurements is important due to the significant practical advantages offered by noninvasive methods over other techniques of investigation. The inverse biomagnetic problem can play a central role in this process due to the information that inverse solutions can yield concerning the characteristics of the gastric electrical activity (GEA). To analyze gastrointestinal (GI) magnetic fields noninvasively, we have developed a computer implementation of a least-squares minimization algorithm that obtains numerical solutions to the biomagnetic inverse problem for the stomach. In this paper, we show how electric current propagation and the mechanical coupling of gastric smooth muscle cells during electrical control activity can be studied using such solutions. To validate our model, two types of numerical simulations of the GEA were developed and successfully used to demonstrate the ability of our computer algorithm to detect and accurately analyze these two phenomena. We also describe our analysis of experimental, noninvasively acquired gastric biomagnetic data as well as the information of interest that our numerical method can yield in clinical studies. Most importantly, we present experimental evidence that the coupling of gastric electrical sources can be observed using noninvasive techniques of measurement, in our case with the use of a superconducting quantum interference device magnetometer. We discuss the relevance and implications of our achievement to the future of GI research.
Irimia
Andrei
A
Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee, 37235, USA. andrei.irimia@vanderbilt.edu
Bradshaw
L Alan
LA
D000465:Algorithms; D000818:Animals; D001703:Biophysics / Q000379:methods*; D004594:Electrophysiology / Q000379:methods*; D006801:Humans; D008280:Magnetics; D008953:Models, Anatomic; D008954:Models, Biological; D015233:Models, Statistical; D009130:Muscle, Smooth / Q000166:cytology; D012984:Software; D013270:Stomach / Q000473:pathology / Q000502:physiology*