Literature DB >> 17720561

Computer-assisted measurement of vessel shape from 3T magnetic resonance angiography of mouse brain.

E Bullitt1, S R Aylward, T Van Dyke, W Lin.   

Abstract

Blood vessel morphology (vessel radius, branching pattern, and tortuosity) is altered by a multitude of diseases. Although murine models of human pathology are important to the investigation of many diseases, there are few publications that address quantitative measurements of murine vascular morphology. This report outlines methods of imaging mice in vivo using magnetic resonance angiograms obtained on a clinical 3T unit, of defining mouse vasculature from these images, and of quantifying measures of vessel shape. We provide examples of both healthy and diseased vasculature and illustrate how the approach can be used to assess pathology both visually and quantitatively. The method is amenable to the assessment of many diseases in both human beings and mice.

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Mesh:

Year:  2007        PMID: 17720561      PMCID: PMC2000457          DOI: 10.1016/j.ymeth.2007.03.009

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  12 in total

1.  Incipient angiogenesis.

Authors:  J Folkman
Journal:  J Natl Cancer Inst       Date:  2000-01-19       Impact factor: 13.506

2.  Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction.

Authors:  Stephen R Aylward; Elizabeth Bullitt
Journal:  IEEE Trans Med Imaging       Date:  2002-02       Impact factor: 10.048

3.  Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms.

Authors:  E Bullitt; S Aylward; K Smith; S Mukherji; M Jiroutek; K Muller
Journal:  Med Image Anal       Date:  2001-06       Impact factor: 8.545

4.  Measuring tortuosity of the intracerebral vasculature from MRA images.

Authors:  Elizabeth Bullitt; Guido Gerig; Stephen M Pizer; Weili Lin; Stephen R Aylward
Journal:  IEEE Trans Med Imaging       Date:  2003-09       Impact factor: 10.048

5.  Vessel tortuosity and brain tumor malignancy: a blinded study.

Authors:  Elizabeth Bullitt; Donglin Zeng; Guido Gerig; Stephen Aylward; Sarang Joshi; J Keith Smith; Weili Lin; Matthew G Ewend
Journal:  Acad Radiol       Date:  2005-10       Impact factor: 3.173

6.  Selective inactivation of p53 facilitates mouse epithelial tumor progression without chromosomal instability.

Authors:  X Lu; G Magrane; C Yin; D N Louis; J Gray; T Van Dyke
Journal:  Mol Cell Biol       Date:  2001-09       Impact factor: 4.272

7.  Fractals and cancer.

Authors:  J W Baish; R K Jain
Journal:  Cancer Res       Date:  2000-07-15       Impact factor: 12.701

8.  Changes in nasal nitric oxide concentration associated with symptoms of common cold and treatment with a topical nasal decongestant.

Authors:  E A Ferguson; R Eccles
Journal:  Acta Otolaryngol       Date:  1997-07       Impact factor: 1.494

9.  Tortuosity of the white matter medullary arterioles is related to the severity of hypertension.

Authors:  Masahiko Hiroki; Kotaro Miyashita; Masaya Oda
Journal:  Cerebrovasc Dis       Date:  2002       Impact factor: 2.762

10.  Arteriolar tortuosity of the white matter in aging and hypertension. A microradiographic study.

Authors:  K M Spangler; V R Challa; D M Moody; M A Bell
Journal:  J Neuropathol Exp Neurol       Date:  1994-01       Impact factor: 3.685

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  3 in total

1.  An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.

Authors:  Marco Caballo; John M Boone; Ritse Mann; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2018-05-09       Impact factor: 4.071

2.  Regeneration Enhances Metastasis: A Novel Role for Neurovascular Signaling in Promoting Melanoma Brain Metastasis.

Authors:  Roshini Prakash; Sivan Izraely; Nikita S Thareja; Rex H Lee; Maya Rappaport; Riki Kawaguchi; Orit Sagi-Assif; Shlomit Ben-Menachem; Tsipi Meshel; Michal Machnicki; Shuichi Ohe; Dave S Hoon; Giovanni Coppola; Isaac P Witz; S Thomas Carmichael
Journal:  Front Neurosci       Date:  2019-04-09       Impact factor: 4.677

3.  Evaluation of Brain Tortuosity Measurement for the Automatic Multimodal Classification of Subjects with Alzheimer's Disease.

Authors:  Eduardo Barbará-Morales; Jorge Pérez-González; Karla C Rojas-Saavedra; Verónica Medina-Bañuelos
Journal:  Comput Intell Neurosci       Date:  2020-01-29
  3 in total

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