Automated anatomical description of pleural thickening towards improvement of its computer-assisted diagnosis
نویسندگان
چکیده
Pleural thickenings are caused by asbestos exposure and may evolve into malignant pleural mesothelioma. An early diagnosis plays a key role towards an early treatment and an increased survival rate. Today, pleural thickenings are detected by visual inspection of CT data, which is time-consuming and underlies the physician's subjective judgment. A computer-assisted diagnosis system to automatically assess pleural thickenings has been developed, which includes not only a quantitative assessment with respect to size and location, but also enhances this information with an anatomical description, i.e. lung side (left, right), part of pleura (pars costalis, mediastinalis, diaphragmatica, spinalis), as well as vertical (upper, middle, lower) and horizontal (ventral, dorsal) position. For this purpose, a 3D anatomical model of the lung surface has been manually constructed as a 3D atlas. Three registration sub-steps including rigid, affine, and nonrigid registration align the input patient lung to the 3D anatomical atlas model of the lung surface. Finally, each detected pleural thickening is assigned a set of labels describing its anatomical properties. Through this added information, an enhancement to the existing computer-assisted diagnosis system is presented in order to assure a higher precision and reproducible assessment of pleural thickenings, aiming at the diagnosis of the pleural mesothelioma in its early stage.
منابع مشابه
Detection, modeling and matching of pleural thickenings from CT data towards an early diagnosis of malignant pleural mesothelioma
Pleural thickenings can be caused by asbestos exposure and may evolve into malignant pleural mesothelioma. While an early diagnosis plays the key role to an early treatment, and therefore helping to reduce morbidity, the growth rate of a pleural thickening can be in turn essential evidence to an early diagnosis of the pleural mesothelioma. The detection of pleural thickenings is today done by a...
متن کاملComputer-assisted diagnosis for early stage pleural mesothelioma: towards automated detection and quantitative assessment of pleural thickening from thoracic CT images.
OBJECTIVES Pleural thickenings as biomarker of exposure to asbestos may evolve into malignant pleural mesothelioma. For its early stage, pleurectomy with perioperative treatment can reduce morbidity and mortality. The diagnosis is based on a visual investigation of CT images, which is a time-consuming and subjective procedure. Our aim is to develop an automatic image processing approach to dete...
متن کاملKnowledge-Driven Automated Detection of Pleural Plaques and Thickening in High Resolution CT of the Lung
Consistent efforts are being made to build Computer-Aided Detection and Diagnosis systems for radiological images. Such systems depend on automated detection of various disease patterns, which are then combined together to obtain differential diagnosis. For diffuse lung diseases, over 12 disease patterns are of interest in High Resolution Computed Tomography (HRCT) scans of the lung. In this pa...
متن کاملتظاهرات توراکوسکوپیک توبرکلوز پلور
Background & Aims: Pleural effusion is the most common form of extra-pulmonary tuberculosis. With the advancement of endoscopic techniques, thoracoscopy has been identified as a diagnostic procedure for Pleural TB. The aim of this study was to evaluate the thoracoscopic manifestations of pleural tuberculosis and its association with the pathological findings of pleural tuberculosis. Materials ...
متن کاملThe Role of Thoracoscopy in the Diagnosis of Pleural Effusion of Unknown Origin
BACKGROUND AND OBJECTIVE: Video-assisted thoracoscopic surgery is preferred over conventional methods, such as pleural biopsy, in the diagnosis and treatment of patients with pleural effusion. Considering that Imam Khomeini Hospital is facing a large volume of patients with pleural effusion of unknown origin referred from other centers, the present study was conducted to investigate the role of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016