The image recognotion and the classification of objects according to the images are more in focus of interests, especially in medicine. A mathematical procedure allows us, not only to evaluate the amount of data per se, but also ensures that each image is pro- cessed similarly. Here in this study, we propose the power of shape analysis, in conjunction with neural networks for reducing white n...

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...

background: to date, several imaging techniques to track stem cells are used such as positron emission tomography (pet), single photon emission computed tomography (spect), bioluminescence imaging (bli), fluorescence imaging, ct scan and magnetic resonance imaging (mri). although, overall sensitivity of mri compared to spect and bioluminescence techniques are lower, but due to high spatial reso...

conclusion high-resolution mr images of the wrist using 3d t2space, pd blade and t2 blade were superior to those using conventional sequences quantitatively. high-snr and cnr mr imaging with space and blade would be a promising method to diagnose wrist lesions. results snr of the cartilage, tfcc on 3d t2space and t1 fse was better than other sequences (p < 0.001). snr of the bone on pd blade wa...

We present findings on cine magnetic resonance imaging (MRI) using steady-state free precession (SSFP) pulse sequences in a patient with pulmonary arteriovenous malformation (PAVM). The technique has the advantage of demonstrating pulsation lesions during cardiac cycle images. It may not replace but complement other MRI characterization selected cases. To our knowledge, no prior video images PA...

Brain tumor analysis from Magnetic Resonance Images (MRI) is one of the mainly challenging tasks. Brain MRI provides details of soft tissues. The image segmentation is done to simplify and to change the representation of an image into meaningful image for better analysis. The image segmentation is a very difficult job in the image processing and challenging task for clinical diagnostic tools. A...

introduction:in this study, ecg signals have been embedded into medical images to create a novel blind watermarking method. the embedding is done when the original image is compressed using the ezw algorithm. the extraction process is performed at the decompression time of the watermarked image. materials and methods: the multi-resolution watermarking with a secret key algorithm developed in th...

background imaging plays a critical role not only in the detection, but also in the characterization of lung masses as benign or malignant. objectives to determine the diagnostic accuracy of dynamic magnetic resonance imaging (mri) in the differential diagnosis of benign and malignant lung masses. patients and methods ninety-four masses were included in this prospective study. five dynamic seri...

This paper presents a new method for poor lighting contrast enhancement of MRI images based on the Weber‟s law. Background of MRI images is identified by using the contrast enhancement transformations. The contrast image transformation can be defined by two operators: opening and closing. The first operator employs information from block analysis, while the second transformation utilizes the op...

Primary meningeal melanomatosis is a rare, aggressive variant of primary malignant melanoma of the central nervous system, which arises from melanocytes within the leptomeninges and carries a poor prognosis. We report a case of primary meningeal melanomatosis in a 17-year-old man, which was diagnosed with (18)F-fluorodeoxyglucose (F-18 FDG) PET/CT, and post hoc F-18 FDG PET/MRI fusion images. W...