Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images.
The carotid intima-media thickness (IMT) is the most used marker for the progression of atherosclerosis and onset of cardiovascular diseases. Computer-aided measurements improve accuracy and precision, but usually require user interaction. In this paper we characterized a new and completely automate...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 49; no. 8; pp. 935 - 946 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104660397&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104660397 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2011 vid: 49 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104660397 NLM21509593 2011221664 10.1007/s11517-011-0781-8 NLM21509593 104660397 ppf: 935 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Completely automated robust edge snapper for carotid ultrasound IMT measurement on a multi-institutional database of 300 images. aug: au: Molinari F Rajendra Acharya U Zeng G Meiburger KM Suri JS Molinari, Filippo Rajendra Acharya, U Zeng, Guang Meiburger, Kristen M Suri, Jasjit S affil: Biolab, Dipartimento di Elettronica, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Turin, Italy sug: subj: Carotid Arteries Ultrasonography Carotid Artery Diseases Ultrasonography Image Interpretation, Computer Assisted Methods Blood Vessels Ultrasonography Muscle, Smooth Ultrasonography Adult Aged Aged, 80 and Over Carotid Arteries Pathology Carotid Artery Diseases Pathology Human Middle Age Radiology Information Systems Blood Vessels Pathology Muscle, Smooth Pathology Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years ab: The carotid intima-media thickness (IMT) is the most used marker for the progression of atherosclerosis and onset of cardiovascular diseases. Computer-aided measurements improve accuracy and precision, but usually require user interaction. In this paper we characterized a new and completely automated technique for carotid segmentation and IMT measurement based on the merits of two previously developed techniques. We used an integrated approach of intelligent image feature extraction and line fitting for automatically locating the carotid artery in the image frame, followed by wall interfaces extraction based on a Gaussian edge operator. We called our system-CARES. We validated CARES on a multi-institutional database of 300 carotid ultrasound images. The IMT measurement bias was 0.032 ± 0.141 mm. Our novel approach of CARES processed 96% of the images in the database taken from two different institutions. In order to evaluate its performance, the figure-of-merit (FoM) was defined as the percent ratio between the average IMT computed by CARES and the one obtained from manual tracings by expert sonographers. The estimated FoM by CARES was 95.7%. Comparing the IMT bias of CARES with our previously published method CALEX that showed an IMT bias equal to 0.099 ± 0.137 mm, CARES improved the IMT accuracy by 67%, while increasing the standard deviation by 3%. CARES could be a useful research tool for processing large datasets in multi-center studies involving atherosclerosis. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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