Literature DB >> 8034448

Impact of semiautomated versus manual image segmentation errors on myocardial strain calculation by magnetic resonance tagging.

A Bazille1, M A Guttman, E R McVeigh, E A Zerhouni.   

Abstract

RATIONALE AND
OBJECTIVES: Accurate image segmentation is essential for the study of mechanical properties of the myocardium by tagged magnetic resonance imaging (MRI). The relative accuracy of three methods of segmentation of myocardial borders and tags and their impact on myocardial strain calculations were evaluated.
METHODS: Radially tagged, spin-echo magnetic resonance (MR) images of dog hearts were segmented manually, automatically, and semiautomatically. The variability of segmentation methods was separately determined for myocardial contours and tags. Error propagation assessment for strain calculation was estimated.
RESULTS: The variability of the segmentation of the contours was five times greater than that of the tags. The error propagation is nonuniform in all directions, maximal for the radial component of strain.
CONCLUSION: Errors in the segmentation of myocardial contours are significantly greater than those of the tags. Strain calculations should be based solely on segmentation of MR tags to avoid significant errors, particularly in radial strain estimates.

Entities:  

Mesh:

Year:  1994        PMID: 8034448      PMCID: PMC2396323          DOI: 10.1097/00004424-199404000-00008

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  16 in total

1.  Myocardial tagging in polar coordinates with use of striped tags.

Authors:  B D Bolster; E R McVeigh; E A Zerhouni
Journal:  Radiology       Date:  1990-12       Impact factor: 11.105

2.  Calculation of three-dimensional left ventricular strains from biplanar tagged MR images.

Authors:  C C Moore; W G O'Dell; E R McVeigh; E A Zerhouni
Journal:  J Magn Reson Imaging       Date:  1992 Mar-Apr       Impact factor: 4.813

3.  Regional differences in myocardial performance in the left ventricle of the dog.

Authors:  M M LeWinter; R S Kent; J M Kroener; T E Carew; J W Covell
Journal:  Circ Res       Date:  1975-08       Impact factor: 17.367

4.  Tag and contour detection in tagged MR images of the left ventricle.

Authors:  M A Guttman; J L Prince; E R McVeigh
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

5.  Noninvasive measurement of transmural gradients in myocardial strain with MR imaging.

Authors:  E R McVeigh; E A Zerhouni
Journal:  Radiology       Date:  1991-09       Impact factor: 11.105

6.  Heart wall motion: improved method of spatial modulation of magnetization for MR imaging.

Authors:  L Axel; L Dougherty
Journal:  Radiology       Date:  1989-08       Impact factor: 11.105

7.  Multicenter trial of automated border detection in cardiac MR imaging.

Authors:  S R Fleagle; D R Thedens; W Stanford; R I Pettigrew; N Reichek; D J Skorton
Journal:  J Magn Reson Imaging       Date:  1993 Mar-Apr       Impact factor: 4.813

8.  Significance of regional wall thickening abnormalities relative to transmural myocardial perfusion in anesthetized dogs.

Authors:  K P Gallagher; T Kumada; J A Koziol; M D McKown; W S Kemper; J Ross
Journal:  Circulation       Date:  1980-12       Impact factor: 29.690

9.  Left ventricular dynamic geometry in the intact and open chest dog.

Authors:  K R Walley; M Grover; G L Raff; J W Benge; B Hannaford; S A Glantz
Journal:  Circ Res       Date:  1982-04       Impact factor: 17.367

10.  Human heart: tagging with MR imaging--a method for noninvasive assessment of myocardial motion.

Authors:  E A Zerhouni; D M Parish; W J Rogers; A Yang; E P Shapiro
Journal:  Radiology       Date:  1988-10       Impact factor: 11.105

View more
  11 in total

1.  Cardiac phase contrast gradient echo MRI: measurement of myocardial wall motion in healthy volunteers and patients.

Authors:  M Markl; B Schneider; J Hennig; S Peschl; J Winterer; T Krause; J Laubenberger
Journal:  Int J Card Imaging       Date:  1999-12

Review 2.  Cardiovascular nuclear magnetic resonance: basic and clinical applications.

Authors:  John R Forder; Gerald M Pohost
Journal:  J Clin Invest       Date:  2003-06       Impact factor: 14.808

3.  Analysis of Cardiac Function from MR Images.

Authors:  Michael A Guttman; Elias A Zerhouni; Elliot R McVeigh
Journal:  IEEE Comput Graph Appl       Date:  1997-02       Impact factor: 2.088

4.  Improved real-time tagged MRI using REALTAG.

Authors:  Weiyi Chen; Nam Gyun Lee; Dani Byrd; Shrikanth Narayanan; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2019-12-24       Impact factor: 4.668

Review 5.  Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.

Authors:  El-Sayed H Ibrahim
Journal:  J Cardiovasc Magn Reson       Date:  2011-07-28       Impact factor: 5.364

6.  Precision of myocardial contour estimation from tagged MR images with a "black-blood" technique.

Authors:  P Croisille; M A Guttman; E Atalar; E R McVeigh; E A Zerhouni
Journal:  Acad Radiol       Date:  1998-02       Impact factor: 3.173

7.  Left ventricular myocardial tagging.

Authors:  F E Rademakers; J Bogaert
Journal:  Int J Card Imaging       Date:  1997-06

8.  Noninvasive measurement of three-dimensional myocardial deformation with tagged magnetic resonance imaging during graded local ischemia.

Authors:  C C Moore; E R McVeigh; E A Zerhouni
Journal:  J Cardiovasc Magn Reson       Date:  1999       Impact factor: 5.364

9.  Three-dimensional myocardial deformations: calculation with displacement field fitting to tagged MR images.

Authors:  W G O'Dell; C C Moore; W C Hunter; E A Zerhouni; E R McVeigh
Journal:  Radiology       Date:  1995-06       Impact factor: 11.105

10.  Three-dimensional systolic strain patterns in the normal human left ventricle: characterization with tagged MR imaging.

Authors:  C C Moore; C H Lugo-Olivieri; E R McVeigh; E A Zerhouni
Journal:  Radiology       Date:  2000-02       Impact factor: 11.105

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.