Literature DB >> 19774463

Characterization of gastric electrical activity using magnetic field measurements: a simulation study.

J H K Kim1, L A Bradshaw, A J Pullan, L K Cheng.   

Abstract

Gastric disorders are often associated with abnormal propagation of gastric electrical activity (GEA). The identification of clinically relevant parameters of GEA using noninvasive measures would therefore be highly beneficial for clinical diagnosis. While magnetogastrograms (MGG) are known to provide a noninvasive representation of GEA, standard methods for their analysis are limited. It has previously been shown in simplistic conditions that the surface current density (SCD) calculated from multichannel MGG measurements provides an estimate of the gastric source location and propagation velocity. We examine the accuracy of this technique using more realistic source models and an anatomically realistic volume conductor model. The results showed that the SCD method was able to resolve the GEA parameters more reliably when the dipole source was located within 100 mm of the sensor. Therefore, the theoretical accuracy of SCD method would be relatively diminished for patients with a larger body habitus, and particularly in those patients with significant truncal obesity. However, many patients with gastric motility disorders are relatively thin due to food intolerance, meaning that the majority of the population of gastric motility patients could benefit from the methods developed here. Large errors resulted when the source was located deep within the body due to the distorting effects of the secondary sources on the magnetic fields. Larger errors also resulted when the dipole was oriented normal to the sensor plane. This was believed to be due to the relatively small contribution of the dipole source when compared to the field produced by the volume conductor. The use of three orthogonal magnetic field components rather than just one component to calculate the SCD yielded marginally more accurate results when using a realistic dipole source. However, this slight increase in accuracy may not warrant the use of more complex vector channels in future superconducting quantum interference device designs. When multiple slow waves were present in the stomach, the SCD map contained only one maximum point corresponding to the more dominant source located in the distal stomach. Parameters corresponding to the slow wave in the proximal stomach were obtained once the dominant slow terminated at the antrum. Additional validation studies are warranted to address the utility of the SCD method to resolve parameters related to gastric slow waves in a clinical setting.

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Year:  2009        PMID: 19774463      PMCID: PMC2855966          DOI: 10.1007/s10439-009-9804-0

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  31 in total

1.  Visualization of atrial excitation by magnetocardiogram.

Authors:  Masato Sato; Yasushi Terada; Toshio Mitsui; Tsuyoshi Miyashita; Akihiko Kandori; Keiji Tsukada
Journal:  Int J Cardiovasc Imaging       Date:  2002-08       Impact factor: 2.357

2.  Improved accuracy of MEG localization in the temporal region with inclusion of volume current effects.

Authors:  D F Rose; E Ducla-Soares; S Sato
Journal:  Brain Topogr       Date:  1989       Impact factor: 3.020

3.  Multiscale modelling of human gastric electric activity: can the electrogastrogram detect functional electrical uncoupling?

Authors:  M L Buist; L K Cheng; K M Sanders; A J Pullan
Journal:  Exp Physiol       Date:  2006-01-11       Impact factor: 2.969

4.  Disturbances in the propagation of the slow wave during acute local ischaemia in the feline small intestine.

Authors:  W J Lammers; A el-Kays; G W Manefield; K Arafat; T Y el-Sharkawy
Journal:  Eur J Gastroenterol Hepatol       Date:  1997-04       Impact factor: 2.566

5.  Identification of gastric contractions from the cutaneous electrogastrogram.

Authors:  J D Chen; R D Richards; R W McCallum
Journal:  Am J Gastroenterol       Date:  1994-01       Impact factor: 10.864

Review 6.  Anatomically realistic multiscale models of normal and abnormal gastrointestinal electrical activity.

Authors:  Leo K Cheng; Rie Komuro; Travis M Austin; Martin L Buist; Andrew J Pullan
Journal:  World J Gastroenterol       Date:  2007-03-07       Impact factor: 5.742

7.  Magnetogastrographic detection of gastric electrical response activity in humans.

Authors:  Andrei Irimia; William O Richards; L Alan Bradshaw
Journal:  Phys Med Biol       Date:  2006-02-15       Impact factor: 3.609

8.  Noninvasive diagnosis of mesenteric ischemia using a SQUID magnetometer.

Authors:  W O Richards; C L Garrard; S H Allos; L A Bradshaw; D J Staton; J P Wikswo
Journal:  Ann Surg       Date:  1995-06       Impact factor: 12.969

9.  Visualisation method of spatial interictal discharges in temporal epilepsy patients using magneto-encephalogram.

Authors:  A Kandori; H Oe; K Miyashita; H Date; N Yamada; H Naritomi; Y Chiba; M Murakami; T Miyashita; K Tsukada
Journal:  Med Biol Eng Comput       Date:  2002-05       Impact factor: 2.602

10.  Effects of gastrointestinal tissue structure on computed dipole vectors.

Authors:  Travis M Austin; Liren Li; Andrew J Pullan; Leo K Cheng
Journal:  Biomed Eng Online       Date:  2007-10-22       Impact factor: 2.819

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  11 in total

Review 1.  Multiscale modeling of gastrointestinal electrophysiology and experimental validation.

Authors:  Peng Du; Greg O'Grady; John B Davidson; Leo K Cheng; Andrew J Pullan
Journal:  Crit Rev Biomed Eng       Date:  2010

Review 2.  Mapping and modeling gastrointestinal bioelectricity: from engineering bench to bedside.

Authors:  L K Cheng; P Du; G O'Grady
Journal:  Physiology (Bethesda)       Date:  2013-09

3.  Biomagnetic and bioelectric detection of gastric slow wave activity in normal human subjects--a correlation study.

Authors:  S Somarajan; N D Muszynski; C Obioha; W O Richards; L A Bradshaw
Journal:  Physiol Meas       Date:  2012-06-27       Impact factor: 2.833

4.  Origin, propagation and regional characteristics of porcine gastric slow wave activity determined by high-resolution mapping.

Authors:  J U Egbuji; G O'Grady; P Du; L K Cheng; W J E P Lammers; J A Windsor; A J Pullan
Journal:  Neurogastroenterol Motil       Date:  2010-07-06       Impact factor: 3.598

5.  Influence of body parameters on gastric bioelectric and biomagnetic fields in a realistic volume conductor.

Authors:  J H K Kim; A J Pullan; L A Bradshaw; L K Cheng
Journal:  Physiol Meas       Date:  2012-03-14       Impact factor: 2.833

6.  Reconstruction of multiple gastric electrical wave fronts using potential based inverse methods.

Authors:  J H K Kim; A J Pullan; L K Cheng
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

7.  Reconstruction of multiple gastric electrical wave fronts using potential-based inverse methods.

Authors:  J H K Kim; A J Pullan; L K Cheng
Journal:  Phys Med Biol       Date:  2012-07-27       Impact factor: 3.609

8.  Characterization of Electrophysiological Propagation by Multichannel Sensors.

Authors:  L Alan Bradshaw; Juliana H Kim; Suseela Somarajan; William O Richards; Leo K Cheng
Journal:  IEEE Trans Biomed Eng       Date:  2015-11-19       Impact factor: 4.538

Review 9.  Toward the virtual stomach: progress in multiscale modeling of gastric electrophysiology and motility.

Authors:  Peng Du; Gregory O'Grady; Jerry Gao; Shameer Sathar; Leo K Cheng
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-03-05

10.  Effect of Body Mass Index on the sensitivity of Magnetogastrogram and Electrogastrogram.

Authors:  Chibuike Obioha; Jon Erickson; Somarajan Suseela; Tahar Hajri; Eric Chung; William Richards; L Alan Bradshaw
Journal:  J Gastroenterol Hepatol Res       Date:  2013-04-21
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