Tomographic digital subtraction angiography for lung perfusion estimation in rodents

Badea, Cristian T; Hedlund, Laurence W; De Lin, Ming; Boslego Mackel, Julie S; Samei, Ehsan; Allan Johnson, G

doi:10.1118/1.2717384

Title: Tomographic digital subtraction angiography for lung perfusion estimation in rodents

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Abstract

In vivo measurements of perfusion present a challenge to existing small animal imaging techniques such as magnetic resonance microscopy, micro computed tomography, micro positron emission tomography, and microSPECT, due to combined requirements for high spatial and temporal resolution. We demonstrate the use of tomographic digital subtraction angiography (TDSA) for estimation of perfusion in small animals. TDSA augments conventional digital subtraction angiography (DSA) by providing three-dimensional spatial information using tomosynthesis algorithms. TDSA is based on the novel paradigm that the same time density curves can be reproduced in a number of consecutive injections of {mu}L volumes of contrast at a series of different angles of rotation. The capabilities of TDSA are established in studies on lung perfusion in rats. Using an imaging system developed in-house, we acquired data for four-dimensional (4D) imaging with temporal resolution of 140 ms, in-plane spatial resolution of 100 {mu}m, and slice thickness on the order of millimeters. Based on a structured experimental approach, we optimized TDSA imaging providing a good trade-off between slice thickness, the number of injections, contrast to noise, and immunity to artifacts. Both DSA and TDSA images were used to create parametric maps of perfusion. TDSA imaging has potential application in a numbermore »« less

Authors:

Badea, Cristian T; Hedlund, Laurence W; De Lin, Ming; Boslego Mackel, Julie S; Samei, Ehsan; Allan Johnson, G ^[1]

Center for In Vivo Microscopy, Box 3302, Duke University Medical Center, Durham, North Carolina 27710 (United States)

Publication Date:: Tue May 15 00:00:00 EDT 2007

OSTI Identifier:: 20951285

Resource Type:: Journal Article

Journal Name:: Medical Physics

Additional Journal Information:: Journal Volume: 34; Journal Issue: 5; Other Information: DOI: 10.1118/1.2717384; (c) 2007 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405

Country of Publication:: United States

Language:: English

Subject:: 62 RADIOLOGY AND NUCLEAR MEDICINE; ALGORITHMS; BIOMEDICAL RADIOGRAPHY; BLOOD VESSELS; IMAGES; IMMUNITY; LUNGS; MICROSCOPY; POSITRON COMPUTED TOMOGRAPHY; RATS; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; SPATIAL RESOLUTION; THICKNESS

Citation Formats


                    Badea, Cristian T, Hedlund, Laurence W, De Lin, Ming, Boslego Mackel, Julie S, Samei, Ehsan, Allan Johnson, G, Radiology, Medical Physics, Duke University Medical Center, Durham, North Carolina 27710, and Center for In Vivo Microscopy, Box 3302, Duke University Medical Center, Durham, North Carolina 27710. Tomographic digital subtraction angiography for lung perfusion estimation in rodents.  United States: N. p., 2007. 
        Web.  doi:10.1118/1.2717384.

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                    Badea, Cristian T, Hedlund, Laurence W, De Lin, Ming, Boslego Mackel, Julie S, Samei, Ehsan, Allan Johnson, G, Radiology, Medical Physics, Duke University Medical Center, Durham, North Carolina 27710, & Center for In Vivo Microscopy, Box 3302, Duke University Medical Center, Durham, North Carolina 27710. Tomographic digital subtraction angiography for lung perfusion estimation in rodents.  United States.  https://doi.org/10.1118/1.2717384

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                    Badea, Cristian T, Hedlund, Laurence W, De Lin, Ming, Boslego Mackel, Julie S, Samei, Ehsan, Allan Johnson, G, Radiology, Medical Physics, Duke University Medical Center, Durham, North Carolina 27710, and Center for In Vivo Microscopy, Box 3302, Duke University Medical Center, Durham, North Carolina 27710. 2007.  
        "Tomographic digital subtraction angiography for lung perfusion estimation in rodents".  United States.  https://doi.org/10.1118/1.2717384.

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@article{osti_20951285,

  title        = {Tomographic digital subtraction angiography for lung perfusion estimation in rodents},

  author       = {Badea, Cristian T and Hedlund, Laurence W and De Lin, Ming and Boslego Mackel, Julie S and Samei, Ehsan and Allan Johnson, G and Radiology, Medical Physics, Duke University Medical Center, Durham, North Carolina 27710 and Center for In Vivo Microscopy, Box 3302, Duke University Medical Center, Durham, North Carolina 27710},

  abstractNote = {In vivo measurements of perfusion present a challenge to existing small animal imaging techniques such as magnetic resonance microscopy, micro computed tomography, micro positron emission tomography, and microSPECT, due to combined requirements for high spatial and temporal resolution. We demonstrate the use of tomographic digital subtraction angiography (TDSA) for estimation of perfusion in small animals. TDSA augments conventional digital subtraction angiography (DSA) by providing three-dimensional spatial information using tomosynthesis algorithms. TDSA is based on the novel paradigm that the same time density curves can be reproduced in a number of consecutive injections of {mu}L volumes of contrast at a series of different angles of rotation. The capabilities of TDSA are established in studies on lung perfusion in rats. Using an imaging system developed in-house, we acquired data for four-dimensional (4D) imaging with temporal resolution of 140 ms, in-plane spatial resolution of 100 {mu}m, and slice thickness on the order of millimeters. Based on a structured experimental approach, we optimized TDSA imaging providing a good trade-off between slice thickness, the number of injections, contrast to noise, and immunity to artifacts. Both DSA and TDSA images were used to create parametric maps of perfusion. TDSA imaging has potential application in a number of areas where functional perfusion measurements in 4D can provide valuable insight into animal models of disease and response to therapeutics.},

  doi          = {10.1118/1.2717384},

  url          = {https://www.osti.gov/biblio/20951285},
  journal      = {Medical Physics},

  issn         = {0094-2405},

  number       = 5,

  volume       = 34,

  place        = {United States},

  year         = {Tue May 15 00:00:00 EDT 2007},

  month        = {Tue May 15 00:00:00 EDT 2007}

}

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