Voxel-based comparative analysis of lung lesions in CT for therapeutic purposes.
Lung cancer remains as one of the most incident types of cancer throughout the world. Temporal evaluation has become a very useful tool when one wishes to analyze some malignancy-indicating behavior. The objective of the present work is to detect changes in the local densities of lung lesions over t...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 2; pp. 295 - 315 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Feb2017
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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=121002489&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121002489 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2017 vid: 55 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 121002489 121002489 NLM27180182 121002489 10.1007/s11517-016-1510-0 NLM27180182 121002489 ppf: 295 ppct: 20 formats: fmt: @attributes: type: P tig: atl: Voxel-based comparative analysis of lung lesions in CT for therapeutic purposes. aug: au: Netto, Stelmo Silva, Aristófanes Nunes, Rodolfo Gattass, Marcelo Netto, Stelmo Magalhães Barros Silva, Aristófanes Corrêa Nunes, Rodolfo Acatauassú affil: Federal University of Maranhão - UFMA , São Luís Brazil sug: subj: Lung Neoplasms Lung Lung Pathology Tomography, X-Ray Computed Methods Image Processing, Computer Assisted Methods Human Resource Databases Logic Lung Neoplasms Pathology Validation Studies Comparative Studies Evaluation Research Multicenter Studies Scales ab: Lung cancer remains as one of the most incident types of cancer throughout the world. Temporal evaluation has become a very useful tool when one wishes to analyze some malignancy-indicating behavior. The objective of the present work is to detect changes in the local densities of lung lesions over time (follow-up analysis). From the detected changes, local information as well as extent region of changes can complement the studies regarding the malignant or benign nature of the lesion. Based on this idea, we attempt to use techniques that allow the observation of changes in the lesion over time, based on remote sensing techniques which highlight changes occurring in the environment. The techniques used were the image differencing, image rationing, median filtering, image regression and the fuzzy XOR operator. Based on the global measurement of change percentage in the density, we found density variations which were considered significant in a range from 2.22 to 36.57 % of the volume of the lesion. The results achieved are promising since, besides the visual aspects of the changes in density of the lung lesion over time, we managed to quantify these changes and compare them by volumetric analysis, a more commonly used technique for analysis of changes in lung lesions. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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