Anatomical landmark localization in breast dynamic contrast-enhanced MR imaging.
In this article, we present a novel approach to localize anatomical features-breast costal cartilage-in dynamic contrast-enhanced MRI using level sets. Current breast MRI diagnosis involves magnetic-resonance compatible needles for localization. However, if the breast costal cartilage structure can...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 50; no. 1; pp. 91 - 102 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2012
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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=104623636&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104623636 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2012 vid: 50 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104623636 NLM21503767 2011421938 10.1007/s11517-011-0772-9 NLM21503767 104623636 ppf: 91 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Anatomical landmark localization in breast dynamic contrast-enhanced MR imaging. aug: au: Yin XX Ng BW Yang Q Pitman A Ramamohanarao K Abbott D Yin, X X Ng, B W-H Yang, Q Pitman, A Ramamohanarao, K Abbott, D affil: Centre for Biomedical Engineering, School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia sug: subj: Breast Anatomy and Histology Cartilage Anatomy and Histology Image Interpretation, Computer Assisted Methods Magnetic Resonance Imaging Methods Algorithms Artifacts Contrast Media Female Human Movement Female ab: In this article, we present a novel approach to localize anatomical features-breast costal cartilage-in dynamic contrast-enhanced MRI using level sets. Current breast MRI diagnosis involves magnetic-resonance compatible needles for localization. However, if the breast costal cartilage structure can be used as an alternative to the MR needle, this will not only assist in avoiding invasive procedures, but will also facilitate monitoring of the movement of breasts caused by cardiac and respiratory motion. This article represents a novel algorithm for achieving reliable detection and extraction of costal cartilage structures, which can be used for the analysis of motion artifacts, with possible shape variations of the structure caused by uptake of contrast agent, as well as a potential for the registration of breast. The algorithm represented in this article is to extract volume features from post-contrast MR images at three different time slices for the analysis of motion artifacts, and we validate the current algorithm according to the anatomic structure. This utilizes the level-set method for the size selection of the region of interest. The variable shape of contours acquired from a level-set-based segment image actually determines the feature region of interest, which is used as a guide to achieve initial masks for feature extraction. Following this, the algorithm uses a K-means method for classification of the feature regions from other types of tissue and morphological operations with a choice of an appropriate structuring element to achieve reliable masks and extraction of features. The segments of features can be therefore obtained with the application of extracted masks for subsequent motion analysis of breast and for potential registration purposes. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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