| bibtype |
J -
Journal Article
|
| ARLID |
0548672 |
| utime |
20230418204410.0 |
| mtime |
20211125235959.9 |
| SCOPUS |
85110438127 |
| WOS |
000677493500009 |
| DOI |
10.1038/s41598-021-93636-4 |
| title
(primary) (eng) |
Motion blur invariant for estimating motion parameters of medical ultrasound images |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0386594 |
| ISSN |
2045-2322 |
| title
|
Scientific Reports |
| volume_id |
11 |
| publisher |
| name |
Nature Publishing Group |
|
|
| keyword |
motion blur |
| keyword |
estimating motion parameters |
| keyword |
medical ultrasound imagesBarm |
| author
(primary) |
| ARLID |
cav_un_auth*0347018 |
| name1 |
Honarvar Shakibaei Asli |
| name2 |
Barmak |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| country |
MY |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0223368 |
| name1 |
Zhao |
| name2 |
Y. |
| country |
CN |
|
| author
|
| ARLID |
cav_un_auth*0377796 |
| name1 |
Erkoyuncu |
| name2 |
J. A. |
| country |
GB |
|
| source |
|
| source |
|
| cas_special |
| project |
| project_id |
GJ18-26018Y |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0360230 |
|
| abstract
(eng) |
High-quality medical ultrasound imaging is definitely concerning motion blur, while medical image analysis requires motionless and accurate data acquired by sonographers. The main idea of this paper is to establish some motion blur invariant in both frequency and moment domain to estimate the motion parameters of ultrasound images. We propose a discrete model of point spread function of motion blur convolution based on the Dirac delta function to simplify the analysis of motion invariant in frequency and moment domain. This model paves the way for estimating the motion angle and length in terms of the proposed invariant features. In this research, the performance of the proposed schemes is compared with other state-of-the-art existing methods of image deblurring. The experimental study performs using fetal phantom images and clinical fetal ultrasound images as well as breast scans. Moreover, to validate the accuracy of the proposed experimental framework, we apply two image quality assessment methods as no-reference and full-reference to show the robustness of the proposed algorithms compared to the well-known approaches. |
| result_subspec |
WOS |
| RIV |
JD |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2022 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0324805 |
| mrcbC61 |
1 |
| confidential |
S |
| article_num |
14312 |
| mrcbC86 |
3+4 Article Multidisciplinary Sciences |
| mrcbC91 |
A |
| mrcbT16-e |
MULTIDISCIPLINARYSCIENCES |
| mrcbT16-j |
1.208 |
| mrcbT16-s |
1.005 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2021 |
| mrcbU14 |
85110438127 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000677493500009 WOS |
| mrcbU63 |
cav_un_epca*0386594 Scientific Reports 2045-2322 2045-2322 Roč. 11 č. 1 2021 Nature Publishing Group |
|