ADAPTIVE CO-SEGMENTATION OF PHEOCHROMOCYTOMAS IN CECT IMAGES

SEGMENTATION OF PHEOCHROMOCYTOMAS IN CECT IMAGES

          Segmentation of pheochromocytomas in Contrast-Enhanced Computed Tomography (CECT) images is an ill-posed problem due to the presence of weak boundaries, intratumoral degeneration, and nearby structures and clutter.

            Simultaneously co-segmenting common objects from a pair of images has drawn much attention. In such cases, the region-based LSMs (RLSMs) are more suitable by using statistical information of foreground and background regions. To improve the capability of segmenting objects having heterogeneous regions, local image information are widely considered in many localized RLSMs (LRLSMs).

Fig:REGION OF TUMOR

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          Adaptive Co-Segmentation of Pheochromocytomas in CECT Images Using Localized Level Set Models

CLASSIFICATION OF INTRACARDIAC TUMOR AND THROMBI

DETECTION OF TUMOR AND THROMBI

Intracardiac masses are hazardous in cardiovascular disease. Generally, they are abnormal structures within or immediately adjacent to the heart, which must be distinguished for diagnosis. Two main types of intracardiac masses are tumor and thrombus. Identification of intracardiac masses in echocardiograms is one important task in cardiac disease diagnosis. To improve diagnosis accuracy, a novel fully automatic classification method based on the sparse representation is proposed to distinguish intracardiac tumor and thrombi in echocardiography.

The tumors show continuity with the atrial wall, with a high degree of mobility, as shown. The echocardiographic appearances of the thrombi are motionless, dense, ovoid, and echo reflecting mass with a broad base of attachment to the endocardium.

                                                   Fig: DETECTION OF TUMOR

FOR LATEST IEEE PAPER 

Automatic Classification of Intracardiac Tumor and Thrombi in Echocardiography Based on Sparse Representation

DETECTION OF PULMONARY NODULES

FAST AND ADAPTIVE DETECTION OF PULMONARY NODULES IN THORACIC CT IMAGES

PULMONARY NODULES

In general, a “pulmonary nodule” is a small, roundish growth on the lung that measures three centimeters in diameter or less. If the growth is larger than that, it is called a “pulmonary mass.” While pulmonary nodules may grow to become a pulmonary mass, some nodules may not grow at all. There are many causes of pulmonary nodules. These include infection, such as fungal or bacterial infections, noncancerous processes, such as sarcoidosis, or cancerous processes, such as lung cancer, lymphoma, or metastatic cancer from other organs. The likelihood that a pulmonary nodule represents lung cancer depends upon three major factors, your age, your smoking history, and your environmental exposure history. Generally, less than 10 percent of pulmonary nodules turn out to be lung cancer.

                                                 Figure.  CT scan image with a Pulmonary nodule

SYMPTOMS OF PULMONARY NODULES

Because pulmonary nodules are small, they rarely cause any symptoms. Some patients might experience symptoms of a respiratory infection, such as a symptoms associated with chest colds or mild flu. Most pulmonary nodules are discovered by accident, when a patient gets a chest X-ray or a CT scan performed for another purpose. 

EVALUATING A PULMONARY NODULE

The immediate goal of evaluating a pulmonary nodule is determining the cancerous potential of the nodule. This is first done with a thorough evaluation of the personal and medical history, the environmental exposure history, and the chest CT scan. If a nodule is determined to have significant cancer potential and is one centimeter in diameter or greater, diagnostic procedures are used to determine the cause of the pulmonary nodule. There are many approaches to evaluating and diagnosing pulmonary nodules that do not require surgery, such as PET scans, bronchoscopy, endobronchial ultrasound, CT-guided needle biopsy, and fluoroscopically guided biopsy. When the pulmonary nodule cannot be diagnosed using these noninvasive approaches, surgical approaches are considered, such as video-assisted thorocoscopic surgery, a mini-thoracotomy, or a thoracotomy. Once the cause of the pulmonary nodule has been determined, an appropriate treatment plan tailored to the disease can be assembled.

FOLLOWING A PULMONARY NODULE

       The majority of pulmonary nodules are extremely small, less than one centimeter in diameter. Unfortunately, these pulmonary nodules are too small to be diagnosed safely and accurately using any of the currently available procedures or tests. Because these very small pulmonary nodules can represent early lung cancer, they need to be followed closely using CT scans with a well developed algorithm for evaluating whether the pulmonary nodule has grown over time. If the size of these pulmonary nodules remains unchanged for two years, the likelihood of these pulmonary nodules representing lung cancer is very small.

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