A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging.
It is believed that left ventricular (LV) regional shape is indicative of LV regional function, and cardiac pathologies are often associated with regional alterations in ventricular shape. In this article, we present a set of procedures for evaluating regional LV surface shape from anatomically accu...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 47; no. 3; pp. 313 - 323 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2009
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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=105219812&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105219812 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2009 vid: 47 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105219812 NLM18853215 2010207057 10.1007/s11517-008-0401-4 NLM18853215 105219812 ppf: 313 ppct: 10 formats: fmt: @attributes: type: P tig: atl: A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging. aug: au: Yeo SY Zhong L Su Y Tan RS Ghista DN Yeo, Si Yong Zhong, Liang Su, Yi Tan, Ru San Ghista, Dhanjoo N affil: Institute of High Performance Computing, Singapore, Singapore sug: subj: Heart Anatomy and Histology Heart Failure Pathology Models, Biological Heart Failure Physiopathology Heart Ventricle Anatomy and Histology Heart Ventricle Pathology Image Processing, Computer Assisted Methods Diagnostic Imaging Methods Magnetic Resonance Imaging Methods Myocardium Pathology ab: It is believed that left ventricular (LV) regional shape is indicative of LV regional function, and cardiac pathologies are often associated with regional alterations in ventricular shape. In this article, we present a set of procedures for evaluating regional LV surface shape from anatomically accurate models reconstructed from cardiac magnetic resonance (MR) images. LV surface curvatures are computed using local surface fitting method, which enables us to assess regional LV shape and its variation. Comparisons are made between normal and diseased hearts. It is illustrated that LV surface curvatures at different regions of the normal heart are higher than those of the diseased heart. Also, the normal heart experiences a larger change in regional curvedness during contraction than the diseased heart. It is believed that with a wide range of dataset being evaluated, this approach will provide a new and efficient way of quantifying LV regional function. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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