The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To date, few large-scale original studies have focused specifically on local recurrence following curative lung cancer surgery. This review seeks to consolidate and analyze data from these studies regarding local recurrence incidence, risk factors, salvage treatments, and outcomes to increase awareness in the Oncology community and to spark new research in this area.PubMed literature was searched...
In this paper 2D Otsu algorithm based on particle swarm optimization (PSO) is proposed to segment CT lung images. This method can extract pulmonary parenchyma from multisliced CT images, which is primary step to detect the pulmonary disease such as lung cancer, tumor, and mass cells. In the automated pulmonary disease diagnosis, image segmentation plays an important role and image analysis result...
Positron emission tomography - computed tomography (PETCT) is now accepted as the best imaging technique to accurately stage lung cancer. The consistent and accurate interpretation of PET-CT images, however, is not a trivial task. We propose a content-based image retrieval system for retrieving similar cases from an imaging database as a reference dataset to aid the physicians in PET-CT scan interpretation...
The OpenPET, which has a physically opened space between two detector rings, is our new geometry to enable PET imaging during radiation therapy. Especially, tracking a moving target such as a tumor in the lung will become possible if the real-time imaging system is realized. In this paper, we developed a list-mode image reconstruction method using general-purpose computing on graphics processing units...
Respiratory gated radiotherapy for lung cancer allows for more precise delivery of prescribed radiation dose to the tumor, while minimizing normal tissue complications. Techniques for fluoroscopic gating without implanted fiducial markers have been developed in a classification framework. Due to the high-dimensionality nature of the images, dimensionality reduction techniques such as principal component...
Patient follow-up based on PET scans is a promising approach for early assessment of tumor response and for detection of tumor recurrence. In this work, we introduce a parametric imaging method to detect and analyze the tumor changes between 2 consecutive PET scans. Fifteen pairs of consecutives PET/CT images obtained during the course of lung cancer patient monitoring were considered. For each pair,...
This paper analyzed and compared the two kinds of objective function which based on dose and equivalent uniform dose (EUD).Both of them were applied to optimize the IMRT plan for lung cancer. The prescription dose for target was 80Gy, the tolerance dose for organ at risk and normal tissue were 30Gy and 50Gy. Genetic algorithm was selected and the population size, number of generation, mutation rate...
Positron emission tomography (PET) is complimentary to other imaging modalities such as CT and MRI and provides a unique and effective means for detecting tumors in vivo through tissue metabolism measurement. At the majority of clinics, only the attenuation-corrected images are read by the physician for tumor diagnosis; the unconnected images are not examined, losing critically important information...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.