@Article{RSM:Ere2014a,
  author =       "B. Erem and J. Coll-Font and R.M. Orellana and P.
                 Stovicek and D.H. Brooks",
  title =        "Using transmural regularization and dynamic modeling for
                 noninvasive cardiac potential imaging of endocardial
                 pacing with imprecise thoracic geometry.",
  journal =      "IEEE Trans Med Imaging",
  year =         "2014",
  month =        "Mar",
  volume =       "33",
  number =       "3",
  pages =        "726--738",
  robnote =      "Here we
                 address two of these impediments: the difficulty of
                 reconstructing electric potentials on the inner
                 (endocardial) as well as outer (epicardial) surfaces of
                 the ventricles, and the need for full anatomical imaging
                 of the subject's thorax to build an accurate
                 subject-specific geometry. We introduce two new features
                 in our reconstruction algorithm: a nonlinear low-order
                 dynamic parameterization derived from the measured body
                 surface signals, and a technique to jointly regularize
                 both surfaces. With these methodological innovations in
                 combination, it is possible to reconstruct endocardial
                 activation from clinically acquired measurements with an
                 imprecise thorax geometry. In particular we test the
                 method using body surface potentials acquired from three
                 subjects during clinical procedures where the subjects'
                 hearts were paced on their endocardia using a catheter
                 device. Our geometric models were constructed using a set
                 of CT scans limited in axial extent to the immediate
                 region near the heart. The catheter system provides a
                 reference location to which we compare our results. We
                 compare our estimates of pacing site localization, in
                 terms of both accuracy and stability, to those reported in
                 a recent clinical publication , where a full set of CT
                 scans were available and only epicardial potentials were
                 reconstructed.",
  bibdate =      "Sun Apr 10 19:47:10 2016",
  pmcid =        "PMC3950945",
}

{"_id":"7539TcWid8pZ7K6hu","bibbaseid":"erem-collfont-orellana-stovicek-brooks-usingtransmuralregularizationanddynamicmodelingfornoninvasivecardiacpotentialimagingofendocardialpacingwithimprecisethoracicgeometry-2014","downloads":0,"creationDate":"2016-07-01T21:38:32.922Z","title":"Using transmural regularization and dynamic modeling for noninvasive cardiac potential imaging of endocardial pacing with imprecise thoracic geometry.","author_short":["Erem, B.","Coll-Font, J.","Orellana, R.","Stovicek, P.","Brooks, D."],"year":2014,"bibtype":"article","biburl":"http://www.sci.utah.edu/~macleod/Bibtex/biglit.bib","bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["B."],"propositions":[],"lastnames":["Erem"],"suffixes":[]},{"firstnames":["J."],"propositions":[],"lastnames":["Coll-Font"],"suffixes":[]},{"firstnames":["R.M."],"propositions":[],"lastnames":["Orellana"],"suffixes":[]},{"firstnames":["P."],"propositions":[],"lastnames":["Stovicek"],"suffixes":[]},{"firstnames":["D.H."],"propositions":[],"lastnames":["Brooks"],"suffixes":[]}],"title":"Using transmural regularization and dynamic modeling for noninvasive cardiac potential imaging of endocardial pacing with imprecise thoracic geometry.","journal":"IEEE Trans Med Imaging","year":"2014","month":"Mar","volume":"33","number":"3","pages":"726–738","robnote":"Here we address two of these impediments: the difficulty of reconstructing electric potentials on the inner (endocardial) as well as outer (epicardial) surfaces of the ventricles, and the need for full anatomical imaging of the subject's thorax to build an accurate subject-specific geometry. We introduce two new features in our reconstruction algorithm: a nonlinear low-order dynamic parameterization derived from the measured body surface signals, and a technique to jointly regularize both surfaces. With these methodological innovations in combination, it is possible to reconstruct endocardial activation from clinically acquired measurements with an imprecise thorax geometry. In particular we test the method using body surface potentials acquired from three subjects during clinical procedures where the subjects' hearts were paced on their endocardia using a catheter device. Our geometric models were constructed using a set of CT scans limited in axial extent to the immediate region near the heart. The catheter system provides a reference location to which we compare our results. We compare our estimates of pacing site localization, in terms of both accuracy and stability, to those reported in a recent clinical publication , where a full set of CT scans were available and only epicardial potentials were reconstructed.","bibdate":"Sun Apr 10 19:47:10 2016","pmcid":"PMC3950945","bibtex":"@Article{RSM:Ere2014a,\n author = \"B. Erem and J. Coll-Font and R.M. Orellana and P.\n Stovicek and D.H. Brooks\",\n title = \"Using transmural regularization and dynamic modeling for\n noninvasive cardiac potential imaging of endocardial\n pacing with imprecise thoracic geometry.\",\n journal = \"IEEE Trans Med Imaging\",\n year = \"2014\",\n month = \"Mar\",\n volume = \"33\",\n number = \"3\",\n pages = \"726--738\",\n robnote = \"Here we\n address two of these impediments: the difficulty of\n reconstructing electric potentials on the inner\n (endocardial) as well as outer (epicardial) surfaces of\n the ventricles, and the need for full anatomical imaging\n of the subject's thorax to build an accurate\n subject-specific geometry. We introduce two new features\n in our reconstruction algorithm: a nonlinear low-order\n dynamic parameterization derived from the measured body\n surface signals, and a technique to jointly regularize\n both surfaces. With these methodological innovations in\n combination, it is possible to reconstruct endocardial\n activation from clinically acquired measurements with an\n imprecise thorax geometry. In particular we test the\n method using body surface potentials acquired from three\n subjects during clinical procedures where the subjects'\n hearts were paced on their endocardia using a catheter\n device. Our geometric models were constructed using a set\n of CT scans limited in axial extent to the immediate\n region near the heart. The catheter system provides a\n reference location to which we compare our results. We\n compare our estimates of pacing site localization, in\n terms of both accuracy and stability, to those reported in\n a recent clinical publication , where a full set of CT\n scans were available and only epicardial potentials were\n reconstructed.\",\n bibdate = \"Sun Apr 10 19:47:10 2016\",\n pmcid = \"PMC3950945\",\n}\n\n","author_short":["Erem, B.","Coll-Font, J.","Orellana, R.","Stovicek, P.","Brooks, D."],"key":"RSM:Ere2014a","id":"RSM:Ere2014a","bibbaseid":"erem-collfont-orellana-stovicek-brooks-usingtransmuralregularizationanddynamicmodelingfornoninvasivecardiacpotentialimagingofendocardialpacingwithimprecisethoracicgeometry-2014","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"search_terms":["using","transmural","regularization","dynamic","modeling","noninvasive","cardiac","potential","imaging","endocardial","pacing","imprecise","thoracic","geometry","erem","coll-font","orellana","stovicek","brooks"],"keywords":[],"authorIDs":[],"dataSources":["5HG3Kp8zRwDd7FotB"]}