Unsupervised segmentation of lung fields in chest radiographs using multiresolution fractal feature vector and deformable models.
Segmenting lung fields in a chest radiograph is essential for automatically analyzing an image. We present an unsupervised method based on multiresolution fractal feature vector. The feature vector characterizes the lung field region effectively. A fuzzy c-means clustering algorithm is then applied...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 9; pp. 1409 - 1423 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2016
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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=117576406&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117576406 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2016 vid: 54 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117576406 117576406 NLM26530048 117576406 10.1007/s11517-015-1412-6 NLM26530048 117576406 ppf: 1409 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Unsupervised segmentation of lung fields in chest radiographs using multiresolution fractal feature vector and deformable models. aug: au: Lee, Wen-Li Chang, Koyin Hsieh, Kai-Sheng affil: Department of Healthcare Information and Management , Ming Chuan University , Taoyuan 333 Taiwan, ROC sug: subj: Radiography, Thoracic Methods Lung Radiographic Image Interpretation, Computer-Assisted Methods Cluster Analysis Information Science Methods Heart Hypertrophy Mathematics Sensitivity and Specificity Logic Algorithms Human Pneumonia Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Segmenting lung fields in a chest radiograph is essential for automatically analyzing an image. We present an unsupervised method based on multiresolution fractal feature vector. The feature vector characterizes the lung field region effectively. A fuzzy c-means clustering algorithm is then applied to obtain a satisfactory initial contour. The final contour is obtained by deformable models. The results show the feasibility and high performance of the proposed method. Furthermore, based on the segmentation of lung fields, the cardiothoracic ratio (CTR) can be measured. The CTR is a simple index for evaluating cardiac hypertrophy. After identifying a suspicious symptom based on the estimated CTR, a physician can suggest that the patient undergoes additional extensive tests before a treatment plan is finalized. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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