Lung nodule diagnosis using 3D template matching

Osman O., Ozekes S., Ucan O. N.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.37, sa.8, ss.1167-1172, 2007 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 8
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.compbiomed.2006.10.007
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1167-1172
  • Anahtar Kelimeler: CT, lung nodule, CAD, ROI specification, 3D template matching, AUTOMATED DETECTION, PULMONARY NODULES, CHEST
  • Marmara Üniversitesi Adresli: Hayır

Özet

In this paper, to utilize the third dimension of Computed Tomography, regions of interest (ROI) slices were combined to form 3D ROI image and a 3D template was determined to find the structures with similar properties of nodules. Convolution of 3D ROI image with the proposed template strengthens the shapes similar to the template and weakens the other ones. False-positive (FP) per nodule and per slice versus diagnosis sensitivity were obtained. The Computer Aided Diagnosis system achieved 100% sensitivity with 0.83 FP per nodule and 0,46 FP per slice, when the nodule thickness was greater than or equal to 5.625 mm. (c) 2006 Elsevier Ltd. All rights reserved.