{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T02:55:22Z","timestamp":1761101722715},"reference-count":27,"publisher":"ASME International","issue":"6","content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2004,12,1]]},"abstract":"<jats:p>The problem of inter-slice magnetic resonance (MR) image reconstruction is encountered often in medical imaging applications. In such scenarios, there is a need to approximate information not captured in contiguously acquired MR images due to hardware sampling limitations. In the context of velocity field reconstruction, these data are required for visualization and computational analyses of flow fields to be effective. To provide more complete velocity information, a method has been developed for the reconstruction of flow fields based on adaptive control grid interpolation (ACGI). In this study, data for reconstruction were acquired via MRI from in vitro models of surgically corrected pediatric cardiac vasculatures. Reconstructed velocity fields showed strong qualitative agreement with those obtained via other acquisition techniques. Quantitatively, reconstruction was shown to produce data of comparable quality to accepted velocity data acquisition methods. Results indicate that ACGI-based velocity field reconstruction is capable of producing information suitable for a variety of applications demanding three-dimensional in vivo velocity data.<\/jats:p>","DOI":"10.1115\/1.1824117","type":"journal-article","created":{"date-parts":[[2005,2,4]],"date-time":"2005-02-04T18:04:56Z","timestamp":1107540296000},"page":"727-735","update-policy":"http:\/\/dx.doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":23,"title":["Three-Dimensional Velocity Field Reconstruction"],"prefix":"10.1115","volume":"126","author":[{"given":"David","family":"Frakes","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA 30332"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Smith","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA 30332"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diane","family":"de Ze\u00b4licourt","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA 30332"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kerem","family":"Pekkan","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA 30332"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajit","family":"Yoganathan","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA 30332"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"33","published-online":{"date-parts":[[2005,2,4]]},"reference":[{"key":"2019100523353428900_r1","doi-asserted-by":"crossref","unstructured":"Migliavacca, F., Kilner, P., Pennati, G., Dubini, G., Pietrabissa, R., Fumero, R., and de Leval, M., 1999, \u201cComputational Fluid Dynamic and Magnetic Resonance Analyses of Flow Distribution Between the Lungs After Total Cavopulmonary Connection,\u201d IEEE Trans. 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