Clinical Study of Diffusion-Weighted Imaging in the Diagnosis of Liver Focal Lesion.
Apparent diffusion coefficient (ADC), derived from diffusion-weighted magnetic resonance images (DW-MRI), measures the motion of water molecules in vivo and can be used to quantify tumor response so as to determine the best therapy approach. In this paper, our goal was to determine whether the DW-MR...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 3; pp. 1 - 2 |
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| Autores principales: | , |
| Formato: | diagnostic images review tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2019
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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=135041231&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135041231 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Mar2019 vid: 43 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 135041231 135041231 135041231 10.1007/s10916-019-1164-1 135041231 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Clinical Study of Diffusion-Weighted Imaging in the Diagnosis of Liver Focal Lesion. aug: au: Li, Jiapeng Yang, Yue affil: Tongde hospital of Zhejiang province, 310012, Zhejiang, Hangzhou, China sug: subj: Magnetic Resonance Imaging Methods Liver Neoplasms Diagnosis Image Processing, Computer Assisted Algorithms Quality Assessment Diagnosis, Differential Water Diffusion ab: Apparent diffusion coefficient (ADC), derived from diffusion-weighted magnetic resonance images (DW-MRI), measures the motion of water molecules in vivo and can be used to quantify tumor response so as to determine the best therapy approach. In this paper, our goal was to determine whether the DW-MRI can be used for qualitative and quantitative liver cancer analysis, where an automated method will be proposed for improving the accuracy of liver segmentation in DW-MRI to increase the ability of diagnosis of disease. We firstly analyzed the research status of liver cancer diagnosis, especially on the issues of liver image segmentation technology in MRI. Then, the imaging mechanism and image features of the DW-MRI were analyzed, and the initial DW-MRI slice was segmented by graph-cut algorithm. Finally, our obtained result from the liver DW-MRI image is quantitatively and qualitatively analyzed. Experimental results show that DW-MRI has a great advantage in the diagnosis, the DWI images of benign lesion group was lower than that of malignant lesion, thus DW-MRI is segmented by graph-cut algorithm can provide important additional information regarding differential diagnosis of specific liver cancer to some extend. pubtype: Academic Journal doctype: diagnostic images review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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