Photoacoustic (PA) imaging has emerged as a promising technique for real-time detection and diagnosis of brain-related pathologies, due to its advantages in deep penetration ultrasound high resolution optical fluorescence imaging. We herein provide an overview on the latest developments nanoparticles contrast agents specifically designed PA brain tumor, vascular other diseases. Five design cons...

Introduction: 99mTc-MIBI has been proposed for use as an imaging agent for various tumors, including breast cancer, lung cancer, lymphomas, melanomas and brain neoplastic lesions. Brain tumors are very common and radiotherapy being major part of treatment following surgery. After radiotherapy, deteriorating clinical status can be due to either radiation necrosis or recurrent tumor. Comput...

Medical Image Analysis (MIA) is one of the active research areas in computer vision, where brain tumor detection most investigated domain among researchers due to its deadly nature. Brain magnetic resonance imaging (MRI) assists radiologists for better analysis about exact size and location tumor. However, existing systems may not efficiently classify human tumors with significantly higher accu...

Image Processing is one of the emergent research areas today. Medical image processing is the most challenging and highly wanted field in that. Brain tumor detection in Magnetic resonance imaging (MRI) has become an emergent area in the field of medical image processing. Segmentation of images is one of the most difficult tasks thus holds an important position in image processing which determin...

In this paper, we present a novel, rapid approach for the detection of brain tumors and deformity boundaries in medical images using a genetic algorithm with wavelet based preprocessing. The contour detection problem is formulated as an optimization process that seeks the contour of the object in a manner of minimizing an energy function based on an active contour model. The brain tumor segment...

ABSTRACT Proper diagnosing of brain tumor is very important for the good treatment of tumor. This is possible by studying the previous cases of the brain tumor. The growth of tumor takes up space within the skull and interferes with the normal brain activity. So detection of tumor is very important in earlier stage. This paper focus on the MR images those are noisy due to poor acquisition proce...

Brain tumor is one of the major causes of death among people. It is evident that the chances of survival can be increased if the tumor is detected and classified correctly at its early stage. Conventional methods involve invasive techniques such as biopsy, lumbar puncture and spinal tap method, to detect and classify brain tumors into benign (non cancerous) and malignant (cancerous). A computer...

Background: Glioma is the most common primary brain tumor, and early detection of tumors is important in the treatment planning for the patient. The precise segmentation of the tumor and intratumoral areas on the MRI by a radiologist is the first step in the diagnosis, which, in addition to the consuming time, can also receive different diagnoses from different physicians. The aim of this study...

Medical Image Processing is the fast growing and challenging field now a days. Medical Image techniques are used for Medical diagnosis. Brain tumor is a serious life threatening disease. Detecting Brain tumor using Image Processing techniques involves four stages namely Image Pre-Processing, Image segmentation, Feature Extraction, and Classification. Image processing and neural network techniqu...