Background: Multiple Sclerosis (MS) is a degenerative disease of central nervous system. MS patients have some dead tissues in their brains called MS lesions. MRI is an imaging technique sensitive to soft tissues such as brain that shows MS lesions as hyper-intense or hypo-intense signals. Since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...

background bleaching of traumatized discolored teeth is considered an important issue in esthetic dentistry. various methods have been introduced for bleaching, some of which may have adverse effects on soft or hard tissues of the tooth. objectives the objective of the study was to evaluate the effects of ktp laser bleaching on enamel of traumatized teeth. materials and methods a square of 36 m...

materials and methods the segmentation process is evaluated using four different clustering methods with different number of clusters where some dti scalar indices for 10 human brains are processed. results the aim was to produce results with less segmentation error and a lower computational cost while attempting to minimizing boundary overlapping and minimizing the effect of artifacts due to m...

background: brain tissue segmentation for delineation of 3d anatomical structures from magnetic resonance (mr) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (gm), white matter (wm) and cerebrospinal fluid (csf), but only if the obtained segmentation results are correct. due to image arti...

introduction: appropriate definition of the distance measure between diffusion tensors has a deep impact on diffusion tensor image (dti) segmentation results. the geodesic metric is the best distance measure since it yields high-quality segmentation results. however, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. the main goal of this ...

distribution of retinal blood vessels (rbvs) in retinal images has an important role in the prevention, diagnosis, monitoring and treatment of diseases, such as diabetes, high blood pressure, or heart disease. therefore, detection of the exact location of rbvs is very important for ophthalmologists. one of the frequently used techniques for extraction of these vessels is region growing-based se...

background: laparoscopy or minimally invasive surgery is a surgical procedure in which laparoscope and other surgical instruments are inserted inside body via a few small incisions. laparoscope is used to look inside the patient's body and records displayed images. temporal segmentation of laparoscopic videos has many applications like detecting laparoscopic anomalies and interrupts. it is prer...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

Introduction: Dilated odontoma is the most severe form of a dens invaginatus, which rare dental malformation resulting from an invagination enamel organ into papilla before calcification occurs. Observation: A healthy 7-years-old girl was referred to oral surgery department remove impacted causing delayed eruption right mandibular lateral incisor (tooth 42). The patient painless and lingual oss...

Abstract This paper describes the mathematical structure of ill-posed nonlinear inverse problem low-dose dental cone-beam computed tomography (CBCT) and explains advantages a deep learning-based approach to reconstruction images over conventional regularization methods. underlying reasons why CBCT is more than standard tomography. Despite this severe ill-posedness, demand for systems rapidly gr...