2015
DOI: 10.1002/cmr.a.21339
|View full text |Cite
|
Sign up to set email alerts
|

Edge sharpness assessment by parametric modeling: Application to magnetic resonance imaging

Abstract: In biomedical imaging, edge sharpness is an important yet often overlooked image quality metric. In this work, a semi-automatic method to quantify edge sharpness in the presence of significant noise is presented with application to magnetic resonance imaging (MRI). The method is based on parametric modeling of image edges. First, an edge map is automatically generated and one or more edges-of-interest (EOI) are manually selected using graphical user interface. Multiple exclusion criteria are then enforced to e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
31
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 38 publications
(31 citation statements)
references
References 26 publications
0
31
0
Order By: Relevance
“…A comparison of the endocardial sharpness was performed in the septal wall, where there are fewest papillary muscles and trabeculations and little off‐resonance artefact. Line profiles were drawn from the LV centroid to the epicardium and fitted with the sigmoid function fx,a0,a1,a2,s=a11+10s(a0-x)+a2, with x increasing positively along the profile. The parameters a i are used to quantify the location (a 0 ) and amplitude of upper (a 1 + a 2 ) and lower plateau (a 2 ) of the profile and s the growth rate or sharpness of the line profiles.…”
Section: Methodsmentioning
confidence: 99%
“…A comparison of the endocardial sharpness was performed in the septal wall, where there are fewest papillary muscles and trabeculations and little off‐resonance artefact. Line profiles were drawn from the LV centroid to the epicardium and fitted with the sigmoid function fx,a0,a1,a2,s=a11+10s(a0-x)+a2, with x increasing positively along the profile. The parameters a i are used to quantify the location (a 0 ) and amplitude of upper (a 1 + a 2 ) and lower plateau (a 2 ) of the profile and s the growth rate or sharpness of the line profiles.…”
Section: Methodsmentioning
confidence: 99%
“…The signal intensity (SI) along the profile was fitted to a sigmoid function described by: SI();,,,xc0c1c2s=c11+10s()c0x+c2 where x (independent variable) is the distance, c 0 is the center location, c 1 describes the vertical range, c 2 determines the vertical offset and s defines the sharpness of the sigmoid. A least‐squares curve fit was chosen and the parameter s provides a measure of edge sharpness …”
Section: Methodsmentioning
confidence: 99%
“…To evaluate sharpness, we analyzed the rise-distance (10 to 90% of the peak value) [22] of the intensity changes across IVS edges. Finally, the readers interactively drew endocardial contours to measure LV areas on ED and ES images, to compare LV areas measured on BH vs. FB cines.…”
Section: Methodsmentioning
confidence: 99%