High resolution digitized image analysis of chest x-rays for diagnosis of difficult to visualize evolving very ealrly stage lung cancer, pnumoconiosis and pulmonary diseases
First Claim
1. A method for cost efficient high, super-high and ultra-high resolution digitized image analysis of chest x-rays with image processing algorithms for diagnosis of slowly evolving lung cancer and pulmonary diseases that are invisible or difficult to see in routine chest x-rays.
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Abstract
A method and a system for high, super- and ultra-high resolution digitized image analysis of chest x-rays is provided for diagnosis of slowly evolving difficult to visualize early stage lung cancer and pulmonary diseases including very early stage diffuse pulmonary pneumoconiosis and silicosis. This method of digitized chest x-ray image analysis also facilitates the visualization of visceral, mediastinal and parietal pleura and the pericardium as separate distinct layers covering the lung and the heart. Such distinct imaging of those structures was not feasible by any other methods of imaging of the chest. Digital image enhancements allow presentation of important structures in the image in different colors and contrast. This method of high resolution digitized and software assisted chest x-ray analysis shows that it takes about 3-4 years before a lung cancer becomes distinctly visible in a chest x-ray. Chest x-ray is the most commonly used initial diagnostic imaging for the diagnosis of pulmonary diseases. Furthermore, it is a very cost-effective means for screening for early stage lung cancer and pulmonary diseases such as the pulmonary pneumoconiosis. This method of image analysis is facilitated by digitized image capture with high, super high and ultra-high resolution digital camera (28, 30, 32, 54, 64, 66) with very small pixels, image processing algorithms, a computer (138), a server (96) and printer (108) systems.
55 Citations
24 Claims
- 1. A method for cost efficient high, super-high and ultra-high resolution digitized image analysis of chest x-rays with image processing algorithms for diagnosis of slowly evolving lung cancer and pulmonary diseases that are invisible or difficult to see in routine chest x-rays.
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