Three-dimensional velocity field reconstruction

David Frakes, Mark Smith, Diane De Zélicourt, Kerem Pekkan, Ajit Yoganathan

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)727-735
Number of pages9
JournalJournal of Biomechanical Engineering
Volume126
Issue number6
DOIs
StatePublished - Dec 2004
Externally publishedYes

Fingerprint

Magnetic Resonance Spectroscopy
Computer-Assisted Image Processing
Diagnostic Imaging
Magnetic resonance
Pediatrics
Flow fields
Interpolation
Medical imaging
Image reconstruction
Magnetic resonance imaging
Data acquisition
Visualization
Sampling
Hardware
Data Accuracy
In Vitro Techniques

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biophysics

Cite this

Frakes, D., Smith, M., De Zélicourt, D., Pekkan, K., & Yoganathan, A. (2004). Three-dimensional velocity field reconstruction. Journal of Biomechanical Engineering, 126(6), 727-735. https://doi.org/10.1115/1.1824117

Three-dimensional velocity field reconstruction. / Frakes, David; Smith, Mark; De Zélicourt, Diane; Pekkan, Kerem; Yoganathan, Ajit.

In: Journal of Biomechanical Engineering, Vol. 126, No. 6, 12.2004, p. 727-735.

Research output: Contribution to journalArticle

Frakes, D, Smith, M, De Zélicourt, D, Pekkan, K & Yoganathan, A 2004, 'Three-dimensional velocity field reconstruction', Journal of Biomechanical Engineering, vol. 126, no. 6, pp. 727-735. https://doi.org/10.1115/1.1824117
Frakes, David ; Smith, Mark ; De Zélicourt, Diane ; Pekkan, Kerem ; Yoganathan, Ajit. / Three-dimensional velocity field reconstruction. In: Journal of Biomechanical Engineering. 2004 ; Vol. 126, No. 6. pp. 727-735.
@article{fc5c9936ca5241ebad5b09e53d54b326,
title = "Three-dimensional velocity field reconstruction",
abstract = "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.",
author = "David Frakes and Mark Smith and {De Z{\'e}licourt}, Diane and Kerem Pekkan and Ajit Yoganathan",
year = "2004",
month = "12",
doi = "10.1115/1.1824117",
language = "English (US)",
volume = "126",
pages = "727--735",
journal = "Journal of Biomechanical Engineering",
issn = "0148-0731",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "6",

}

TY - JOUR

T1 - Three-dimensional velocity field reconstruction

AU - Frakes, David

AU - Smith, Mark

AU - De Zélicourt, Diane

AU - Pekkan, Kerem

AU - Yoganathan, Ajit

PY - 2004/12

Y1 - 2004/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=14344252078&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=14344252078&partnerID=8YFLogxK

U2 - 10.1115/1.1824117

DO - 10.1115/1.1824117

M3 - Article

VL - 126

SP - 727

EP - 735

JO - Journal of Biomechanical Engineering

JF - Journal of Biomechanical Engineering

SN - 0148-0731

IS - 6

ER -