Evaluation of cardiopulmonary devices on chest radiographs: digital vs analog radiographs

Computer Aided Detection for Pneumoconiosis Screening on Digital Chest Radiographs

This paper presents a computer aided detection scheme on digital chest radiographs for pneumoconiosis screening. The scheme involves several medical image processing and analysis technologies, i.e. lung segmentation algorithm using the active shape model, image enhancement and features extraction from lung regions, feature down-selection by correlation analysis and clustering method, classifica...

Semi-Automated Location Identification of Catheters in Digital Chest Radiographs

Localization of catheter tips is the most common task in intensive care unit imaging. In this work, catheters appearing in digital chest radiographs acquired by portable chest x-rays were tracked using a semi-automatic method. Due to the fact that catheters are synthetic objects, its profile does not vary drastically over its length. Therefore, we use forward looking registration with normalize...

The development and evaluation of a computerized diagnosis scheme for pneumoconiosis on digital chest radiographs

PURPOSE To diagnose pneumoconiosis using a computer-aided diagnosis system based on digital chest radiographs. METHODS Lung fields were first extracted by combining the traditional Otsu-threshold method with a morphological reconstruction on digital radiographs (DRs), and then subdivided into six non-overlapping regions (region (a-f)). Twenty-two wavelet-based energy texture features were cal...

The recognition of lesions on chest radiographs.

An approach to the recognition of lesions on chest radiographs is outlined. Four basic groups of abnormalities by means of which lesions can be recognized are mentioned and are briefly described, namely an opacity, an area of increased translucency, a combination of an opacity and an area of increased translucency, and, especially, an alteration in normal radiological anatomy.

Thoracic Radiographs and Cardiopulmonary Disease