Multiview Contouring for Breast Tumor on Magnetic Resonance Imaging.
The shape and contour of the lesion are shown to be effective features for physicians to identify breast tumor as benign or malignant. The region of the lesion is usually manually created by the physician according to their clinical experience; therefore, contouring tumors on breast magnetic resonan...
| Publicado en: | Journal of Digital Imaging Vol. 32; no. 5; pp. 713 - 728 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2019
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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=138543070&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138543070 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Oct2019 vid: 32 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 138543070 138543070 144023357 138543070 10.1007/s10278-019-00190-7 138543070 ppf: 713 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Multiview Contouring for Breast Tumor on Magnetic Resonance Imaging. aug: au: Chen, Dar-Ren Chang, Yao-Wen Wu, Hwa-Koon Shia, Wei-Chung Huang, Yu-Len affil: Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan sug: subj: Image Processing, Computer Assisted Methods Breast Neoplasms Diagnosis Magnetic Resonance Imaging Human Noise Simulations Imaging, Three-Dimensional Diagnostic Imaging Methods ab: The shape and contour of the lesion are shown to be effective features for physicians to identify breast tumor as benign or malignant. The region of the lesion is usually manually created by the physician according to their clinical experience; therefore, contouring tumors on breast magnetic resonance imaging (MRI) is difficult and time-consuming. For this purpose, an automatic contouring method for breast tumors was developed for less burden in the analysis and to decrease the observed bias to help in making decisions clinically. In this study, a multiview segmentation method for detecting and contouring breast tumors in MRI was represented. The preprocessing of the proposed method reduces any amount of noises but preserves the shape and contrast of the breast tumor. The two-dimensional (2D) level-set segmentation method extracts contours of breast tumors from the transverse, coronal, and sagittal planes. The obtained contours are further utilized to generate appropriate three-dimensional (3D) contours. Twenty breast tumor cases were evaluated and the simulation results show that the proposed contouring method was an efficient method for delineating 3D contours of breast tumors in MRI. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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