Dynamic Contrast-Enhanced MR Angiography Exploiting Subspace Projection for Robust Angiogram Separation

Suhyung Park, Eung Yeop Kim, Chul Ho Sohn, Jaeseok Park

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Dynamic contrast-enhanced magnetic resonance angiography (DCE MRA) has been widely used as a clinical routine for diagnostic assessment of vascular morphology and hemodynamics. It requires high spatial and temporal resolution to capture rapid variation of DCE signals within a limited imaging time. Subtraction-based approaches are typically employed to selectively delineate arteries while eliminating unwanted background signals. Nevertheless, in the presence of subject motion with time, conventional subtraction approaches suffer from incomplete background suppression that impairs the detectability of arteries. In this work, we propose a novel, DCE MRA method that exploits subspace projection (SP) based angiogram separation for robust background suppression. A new, SP-based DCE signal model is introduced, in which images are decomposed into stationary background tissues, motion-induced artifacts, and DCE angiograms of interest. Constrained image reconstruction with sparsity priors is performed to project motion-induced artifacts onto the predefined subspace while extracting DCE angiograms of interest. Simulations and experimental studies validate that the proposed method outperforms existing techniques with increasing reduction factors in suppressing artifacts and noise.

Original languageEnglish
Article number7725520
Pages (from-to)584-595
Number of pages12
JournalIEEE Transactions on Medical Imaging
Volume36
Issue number2
DOIs
Publication statusPublished - 2017 Feb 1
Externally publishedYes

Fingerprint

Angiography
Magnetic resonance
Artifacts
Magnetic Resonance Angiography
Hemodynamics
Arteries
Image reconstruction
Computer-Assisted Image Processing
Tissue
Imaging techniques
Blood Vessels
Noise

Keywords

  • background suppression
  • compressed sensing
  • dynamic contrast-enhanced MRA
  • magnetic resonance angiography
  • magnetic resonance imaging

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Dynamic Contrast-Enhanced MR Angiography Exploiting Subspace Projection for Robust Angiogram Separation. / Park, Suhyung; Kim, Eung Yeop; Sohn, Chul Ho; Park, Jaeseok.

In: IEEE Transactions on Medical Imaging, Vol. 36, No. 2, 7725520, 01.02.2017, p. 584-595.

Research output: Contribution to journalArticle

@article{165e666afad6419e88d5317cca18a4de,
title = "Dynamic Contrast-Enhanced MR Angiography Exploiting Subspace Projection for Robust Angiogram Separation",
abstract = "Dynamic contrast-enhanced magnetic resonance angiography (DCE MRA) has been widely used as a clinical routine for diagnostic assessment of vascular morphology and hemodynamics. It requires high spatial and temporal resolution to capture rapid variation of DCE signals within a limited imaging time. Subtraction-based approaches are typically employed to selectively delineate arteries while eliminating unwanted background signals. Nevertheless, in the presence of subject motion with time, conventional subtraction approaches suffer from incomplete background suppression that impairs the detectability of arteries. In this work, we propose a novel, DCE MRA method that exploits subspace projection (SP) based angiogram separation for robust background suppression. A new, SP-based DCE signal model is introduced, in which images are decomposed into stationary background tissues, motion-induced artifacts, and DCE angiograms of interest. Constrained image reconstruction with sparsity priors is performed to project motion-induced artifacts onto the predefined subspace while extracting DCE angiograms of interest. Simulations and experimental studies validate that the proposed method outperforms existing techniques with increasing reduction factors in suppressing artifacts and noise.",
keywords = "background suppression, compressed sensing, dynamic contrast-enhanced MRA, magnetic resonance angiography, magnetic resonance imaging",
author = "Suhyung Park and Kim, {Eung Yeop} and Sohn, {Chul Ho} and Jaeseok Park",
year = "2017",
month = "2",
day = "1",
doi = "10.1109/TMI.2016.2622715",
language = "English",
volume = "36",
pages = "584--595",
journal = "IEEE Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

TY - JOUR

T1 - Dynamic Contrast-Enhanced MR Angiography Exploiting Subspace Projection for Robust Angiogram Separation

AU - Park, Suhyung

AU - Kim, Eung Yeop

AU - Sohn, Chul Ho

AU - Park, Jaeseok

PY - 2017/2/1

Y1 - 2017/2/1

N2 - Dynamic contrast-enhanced magnetic resonance angiography (DCE MRA) has been widely used as a clinical routine for diagnostic assessment of vascular morphology and hemodynamics. It requires high spatial and temporal resolution to capture rapid variation of DCE signals within a limited imaging time. Subtraction-based approaches are typically employed to selectively delineate arteries while eliminating unwanted background signals. Nevertheless, in the presence of subject motion with time, conventional subtraction approaches suffer from incomplete background suppression that impairs the detectability of arteries. In this work, we propose a novel, DCE MRA method that exploits subspace projection (SP) based angiogram separation for robust background suppression. A new, SP-based DCE signal model is introduced, in which images are decomposed into stationary background tissues, motion-induced artifacts, and DCE angiograms of interest. Constrained image reconstruction with sparsity priors is performed to project motion-induced artifacts onto the predefined subspace while extracting DCE angiograms of interest. Simulations and experimental studies validate that the proposed method outperforms existing techniques with increasing reduction factors in suppressing artifacts and noise.

AB - Dynamic contrast-enhanced magnetic resonance angiography (DCE MRA) has been widely used as a clinical routine for diagnostic assessment of vascular morphology and hemodynamics. It requires high spatial and temporal resolution to capture rapid variation of DCE signals within a limited imaging time. Subtraction-based approaches are typically employed to selectively delineate arteries while eliminating unwanted background signals. Nevertheless, in the presence of subject motion with time, conventional subtraction approaches suffer from incomplete background suppression that impairs the detectability of arteries. In this work, we propose a novel, DCE MRA method that exploits subspace projection (SP) based angiogram separation for robust background suppression. A new, SP-based DCE signal model is introduced, in which images are decomposed into stationary background tissues, motion-induced artifacts, and DCE angiograms of interest. Constrained image reconstruction with sparsity priors is performed to project motion-induced artifacts onto the predefined subspace while extracting DCE angiograms of interest. Simulations and experimental studies validate that the proposed method outperforms existing techniques with increasing reduction factors in suppressing artifacts and noise.

KW - background suppression

KW - compressed sensing

KW - dynamic contrast-enhanced MRA

KW - magnetic resonance angiography

KW - magnetic resonance imaging

UR - http://www.scopus.com/inward/record.url?scp=85012306195&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85012306195&partnerID=8YFLogxK

U2 - 10.1109/TMI.2016.2622715

DO - 10.1109/TMI.2016.2622715

M3 - Article

C2 - 27810804

AN - SCOPUS:85012306195

VL - 36

SP - 584

EP - 595

JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

SN - 0278-0062

IS - 2

M1 - 7725520

ER -