: We propose a method for detection of rib shadows in chest radiographs that uses the knowledge of human anatomy of the thorax. Information present in the radiograph is then suitably extracted to enable the detection procedure. The method is simple but heuristic in nature and the implementation is quite fast. Details of the proposed method and the results are presented. 1 Introduction There have been various efforts in [1]-[4] to detect the rib structure in the chest image so that the knowledge of the rib locations can be used for further processing. Some studies have also been reported relating to detection of interstitial infiltrates [5], [6], detection of pulmonary nodules [7], [8], and change detection in the heart and associated vascu...
In this paper, a fully automatic method is proposed to detect the ribs in 3D MRI. The purpose of the...
Research Doctorate - Doctor of Philosophy (PhD)Lung cancer is one of the most deadly diseases. World...
Despite the increased use of CT imaging, chest radiography remains a very important diagnostic modal...
AbstractThis paper presents an automated and comprehensive system for eliminating rib shadows in che...
The identification and segmentation of target objects from medical images is often confused by other...
Abstract--We describe a system of computer algorithms that finds the rib cage in chest radiographs. ...
We describe a computational model for the ribcage anatomy seen in a posterior-anterior chest radiogr...
This paper investigates using rib-bone atlases for automatic detection of rib-bones in chest X-rays ...
Typically, inspiration is preferred when xraying the lungs. The x-ray technologist will ask a patien...
Abstract- Computer aided scheme for pulmonary nodule detection in chest radiographs are to detect th...
Chest radiography still represents the most commonly performed X-ray examination because it is readi...
In this paper we describe the development of a screening system for pulmonary pathologies (i.e. pneu...
A method and system for automated analysis of digital radiographic images in which regions-of-intere...
The analysis of X-ray imagery is the standard pre-screening approach for lung cancer. Unlike CT-scan...
Contains fulltext : 81472.pdf (publisher's version ) (Closed access)Chest radiogra...
In this paper, a fully automatic method is proposed to detect the ribs in 3D MRI. The purpose of the...
Research Doctorate - Doctor of Philosophy (PhD)Lung cancer is one of the most deadly diseases. World...
Despite the increased use of CT imaging, chest radiography remains a very important diagnostic modal...
AbstractThis paper presents an automated and comprehensive system for eliminating rib shadows in che...
The identification and segmentation of target objects from medical images is often confused by other...
Abstract--We describe a system of computer algorithms that finds the rib cage in chest radiographs. ...
We describe a computational model for the ribcage anatomy seen in a posterior-anterior chest radiogr...
This paper investigates using rib-bone atlases for automatic detection of rib-bones in chest X-rays ...
Typically, inspiration is preferred when xraying the lungs. The x-ray technologist will ask a patien...
Abstract- Computer aided scheme for pulmonary nodule detection in chest radiographs are to detect th...
Chest radiography still represents the most commonly performed X-ray examination because it is readi...
In this paper we describe the development of a screening system for pulmonary pathologies (i.e. pneu...
A method and system for automated analysis of digital radiographic images in which regions-of-intere...
The analysis of X-ray imagery is the standard pre-screening approach for lung cancer. Unlike CT-scan...
Contains fulltext : 81472.pdf (publisher's version ) (Closed access)Chest radiogra...
In this paper, a fully automatic method is proposed to detect the ribs in 3D MRI. The purpose of the...
Research Doctorate - Doctor of Philosophy (PhD)Lung cancer is one of the most deadly diseases. World...
Despite the increased use of CT imaging, chest radiography remains a very important diagnostic modal...