|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM211752118 |
| 003 |
DE-627 |
| 005 |
20231224014221.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231224s2012 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TIP.2011.2169270
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n0706.xml
|
| 035 |
|
|
|a (DE-627)NLM211752118
|
| 035 |
|
|
|a (NLM)21947523
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Molinari, Filippo
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Completely automated multiresolution edge snapper--a new technique for an accurate carotid ultrasound IMT measurement
|b clinical validation and benchmarking on a multi-institutional database
|
| 264 |
|
1 |
|c 2012
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 03.07.2012
|
| 500 |
|
|
|a Date Revised 10.12.2019
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a The aim of this paper is to describe a novel and completely automated technique for carotid artery (CA) recognition, far (distal) wall segmentation, and intima-media thickness (IMT) measurement, which is a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of completely automated multiresolution edge snapper (CAMES) consists of the following two stages: 1) automated CA recognition based on a combination of scale-space and statistical classification in a multiresolution framework and 2) automated segmentation of lumen-intima (LI) and media-adventitia (MA) interfaces for the far (distal) wall and IMT measurement. Our database of 365 B-mode longitudinal carotid images is taken from four different institutions covering different ethnic backgrounds. The ground-truth (GT) database was the average manual segmentation from three clinical experts. The mean distance ± standard deviation of CAMES with respect to GT profiles for LI and MA interfaces were 0.081 ± 0.099 and 0.082 ± 0.197 mm, respectively. The IMT measurement error between CAMES and GT was 0.078 ± 0.112 mm. CAMES was benchmarked against a previously developed automated technique based on an integrated approach using feature-based extraction and classifier (CALEX). Although CAMES underestimated the IMT value, it had shown a strong improvement in segmentation errors against CALEX for LI and MA interfaces by 8% and 42%, respectively. The overall IMT measurement bias for CAMES improved by 36% against CALEX. Finally, this paper demonstrated that the figure-of-merit of CAMES was 95.8% compared with 87.4% for CALEX. The combination of multiresolution CA recognition and far-wall segmentation led to an automated, low-complexity, real-time, and accurate technique for carotid IMT measurement. Validation on a multiethnic/multi-institutional data set demonstrated the robustness of the technique, which can constitute a clinically valid IMT measurement for assistance in atherosclerosis disease management
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Validation Study
|
| 700 |
1 |
|
|a Pattichis, Constantinos S
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Zeng, Guang
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Saba, Luca
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Acharya, U Rajendra
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Sanfilippo, Roberto
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Nicolaides, Andrew
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Suri, Jasjit S
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 21(2012), 3 vom: 07. März, Seite 1211-22
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:21
|g year:2012
|g number:3
|g day:07
|g month:03
|g pages:1211-22
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TIP.2011.2169270
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 21
|j 2012
|e 3
|b 07
|c 03
|h 1211-22
|