Pre-Classification of Chest Radiographs for Improved Active Shape Model Segmentation of Ribs

The parenchymal and skeletal structure as recorded on chest radiographs can vary significantly from person to person. The person’s height, width, age, gender, and other factors will result in significant variations in the presentation of these structures. As a result, the application of an active shape model (ASM) for segmentation can be problematic. The segmentation task can be made easier if, before the creation of the model for the ASM, the chest x-rays are classified according to some measure of similarity. The ASM rib-parenchyma model is defined using the 14 chest radiographs from the International Labor Organization(ILO) set of standard chest x-rays. Groundtruth was established by manually segmenting the ribs for the standard x-rays. A “leave one out” procedure was used to perform the tests on the ILO set. The measure of success was defined by the sensitivity of the segmentation in correctly classifying a pixel as parenchyma, i.e. not rib (Sensitivity = True Positive / (Tr...

• Type: Conference
• Year: 2002
• Where: SSIAI
• Authors: Janakiramanan Ramachandran, Marios S. Pattichis, Peter Soliz
• Keywords: Chest Radiographs, Chest X-rays, Image Analysis, SSIAI 2002, Standard Chest X-rays