A hybrid technique based on feature extraction and Principal Component Analysis (PCA) is presented for lung detection in CT scan images. Lung cancer, if detected successfully at early stages, enables many treatment options, reduced risk of invasive surgery and increased survival rate. .In this paper features are extracted using principal component analysis and Histogram Equalization is used for...

PURPOSE To investigate and characterize the global distribution of magnetization transfer (MT) ratio values of normal-appearing white matter (NAWM) in patients with relapsing-remitting multiple sclerosis (MS) and test the hypothesis that the MT histogram for NAWM reflects disease progression. MATERIALS AND METHODS Conventional and MT magnetic resonance (MR) images were obtained in 23 patients...

BACKGROUND AND PURPOSE The histogram method has been shown to demonstrate heterogeneous morphologic features of tumor vascularity. This study aimed to determine whether whole-tumor histogram analysis of the normalized CBV for contrast-enhancing lesions and perienhancing lesions can differentiate among GBMs, SMTs, and lymphomas. MATERIALS AND METHODS Fifty-nine patients with histopathologicall...

BACKGROUND To explore the role of apparent diffusion coefficient (ADC) histogram shape related parameters in early assessment of treatment response during the concurrent chemo-radiotherapy (CCRT) course of advanced cervical cancers. METHODS This prospective study was approved by the local ethics committee and informed consent was obtained from all patients. Thirty-two patients with advanced c...

BACKGROUND AND PURPOSE The multiparametric imaging can show us different aspects of tumor behavior and may help differentiation of tumor recurrence from treatment related change. Our aim was to differentiate tumor progression from pseudoprogression in patients with glioblastoma by using multiparametric histogram analysis of 2 consecutive MR imaging studies with relative cerebral blood volume an...

Histogram equalization is one of the common tools for improving contrast in digital photography, remote sensing, medical imaging, and scientific visualization. It is a process for recovering lost contrast in an image by remapping the brightness values in such a way that equalizes or more evenly distributes its brightness values. However, Histogram Equalization may significantly change the brigh...

-Histogram Equalization is a contrast enhancement technique in the image processing which uses the histogram of image. Segmentation of image plays a vital role in many medical imaging applications by automatically locating the regions of interest. Segmentation of image is the more crucial functions in figure analysis and processing. The segmentation results of a figure affect all the subsequent...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

We investigated apparent diffusion coefficient (ADC) histogram analysis to evaluate radiation-induced parotid damage and predict xerostomia degrees in nasopharyngeal carcinoma (NPC) patients receiving radiotherapy. The imaging of bilateral parotid glands in NPC patients was conducted 2 weeks before radiotherapy (time point 1), one month after radiotherapy (time point 2), and four months after r...

The fundamental and important pre-processing stage in image processing is the image contrast enhancement technique. Histogram equalization is an effective contrast enhancement technique and thus in this paper, a histogram equalization based technique called Quadrant Dynamic with Automatic Plateau Limit Histogram Equalization (QDAPLHE) is introduced. In this method, a hybrid of dynamic and clipp...