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Multi-covariate Imaging of Sub-resolution Targets.

Publication ,  Journal Article
Morgan, MR; Trahey, GE; Walker, WF
Published in: IEEE transactions on medical imaging
July 2019

Conventional B-mode ultrasound imaging assumes that targets consist of collections of point scatterers. Diffraction, however, presents a fundamental limit on a scanner's ability to resolve individual scatterers in most clinical imaging environments. Well-known optics and ultrasound literature has characterized these diffuse scattering targets as spatially incoherent and statistically stationary. In this paper, we apply a piecewise-stationary statistical model to diffuse scattering targets, in which the covariance of backscattered echoes can be described as the linear superposition of constituent components corresponding to echoes from distinct spatial regions in the field. Using this framework, we present Multi-covariate Imaging of Sub-resolution Targets (MIST), a novel estimation-based method to image the statistical properties of diffuse scattering targets, based on a decomposition of aperture domain spatial covariance. The mathematical foundations of the estimator are analytically derived, and MIST is evaluated in phantom, simulation, and in vivo studies, demonstrating consistent improvements in contrast-to-noise ratio and speckle statistics across imaging targets, without an apparent loss in resolution.

Duke Scholars

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

July 2019

Volume

38

Issue

7

Start / End Page

1690 / 1700

Related Subject Headings

  • Ultrasonography, Prenatal
  • Ultrasonography
  • Pregnancy
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Male
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Adult
 

Citation

APA
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ICMJE
MLA
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Morgan, M. R., Trahey, G. E., & Walker, W. F. (2019). Multi-covariate Imaging of Sub-resolution Targets. IEEE Transactions on Medical Imaging, 38(7), 1690–1700. https://doi.org/10.1109/tmi.2019.2917021
Morgan, Matthew R., Gregg E. Trahey, and William F. Walker. “Multi-covariate Imaging of Sub-resolution Targets.IEEE Transactions on Medical Imaging 38, no. 7 (July 2019): 1690–1700. https://doi.org/10.1109/tmi.2019.2917021.
Morgan MR, Trahey GE, Walker WF. Multi-covariate Imaging of Sub-resolution Targets. IEEE transactions on medical imaging. 2019 Jul;38(7):1690–700.
Morgan, Matthew R., et al. “Multi-covariate Imaging of Sub-resolution Targets.IEEE Transactions on Medical Imaging, vol. 38, no. 7, July 2019, pp. 1690–700. Epmc, doi:10.1109/tmi.2019.2917021.
Morgan MR, Trahey GE, Walker WF. Multi-covariate Imaging of Sub-resolution Targets. IEEE transactions on medical imaging. 2019 Jul;38(7):1690–1700.

Published In

IEEE transactions on medical imaging

DOI

EISSN

1558-254X

ISSN

0278-0062

Publication Date

July 2019

Volume

38

Issue

7

Start / End Page

1690 / 1700

Related Subject Headings

  • Ultrasonography, Prenatal
  • Ultrasonography
  • Pregnancy
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Male
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Adult