Convolutional Neural Network for Segmentation and Measurement of Intima Media Thickness.
The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid Artery (CCA) is a principle marker of risk of cardiovascular disease. This paper presents a novel method of using deep Convolutional Neural Network (CNN) for identification and measurement of IMT on the far wall of the artery....
| Publicado en: | Journal of Medical Systems Vol. 42; no. 8; pp. 1 - 2 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas review tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2018
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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=131094278&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131094278 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Aug2018 vid: 42 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 131094278 131094278 131094278 10.1007/s10916-018-1001-y 131094278 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Convolutional Neural Network for Segmentation and Measurement of Intima Media Thickness. aug: au: S., Sudha K. B., Jayanthi C., Rajasekaran Madian, Nirmala T., Sunder affil: Department of Electronics and Communication Engineering, K.S.Rangasamy College of Technology, Tamil Nadu, India sug: subj: Neural Networks (Computer) Carotid Intima-Media Thickness Evaluation Heart Diseases Risk Factors Diffusion of Innovation Carotid Arteries Anatomy and Histology Patient Selection Videorecording Cardiovascular Diseases Diagnostic Imaging Learning ab: The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid Artery (CCA) is a principle marker of risk of cardiovascular disease. This paper presents a novel method of using deep Convolutional Neural Network (CNN) for identification and measurement of IMT on the far wall of the artery. The Region of Interest (ROI) is extracted using CNN architecture with 8 layers. 110 subjects are taken for the study. Each subject is recorded with one Right Common Carotid Artery (RCCA) and Left Common Carotid Artery (LCCA) frame resulting in 220 recordings. Patch based segmentation with 2640 patches are given to the training network for ROI localization. Intima Media Complex (IMC) is the area where IMT is measured. This region is extracted after defining the ROI. Keeping in mind the end objective of measurement of IMT values binary threshold with snake algorithm is applied to extract the lumen-intima and media-adventitia boundary. IMT values are measured for 20 cases and mean difference is found to be 0.08 mm. pubtype: Academic Journal doctype: equations & formulas review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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