Optical coherence tomography (OCT) is a catheter-based imaging method that employs near-infrared light to produce high-resolution cross-sectional intravascular images. The authors propose segmentation technique for automatic lumen area extraction and stent strut detection in OCT images the purpose of quantitative analysis neointimal hyperplasia (NIH).A clinical dataset frequency-domain scans human femoral artery was analyzed. First, based on Markov random field (MRF) model employed...

Purpose To automatically detect and isolate areas of low high stiffness temporal stability in shear wave elastography ( SWE ) image sequences define their impact chronic liver disease CLD diagnosis improvement by means clinical examination study deep learning algorithm employing convolutional neural networks CNN s). Materials Methods Two hundred from 88 healthy individuals (F0 fibrosis stage) 112 patients (46 with mild (F1), 16 significant (F2), 22 severe (F3), 28 cirrhosis (F4)) were...

Purpose: Detect and classify focal liver lesions (FLLs) from contrast‐enhanced ultrasound (CEUS) imaging by means of an automated quantification algorithm. Methods: The proposed algorithm employs a sophisticated segmentation method to detect contour 52 CEUS video sequences (30 benign 22 malignant). Lesion detection involves wavelet transform zero crossings utilization as initialization step the Markov random field model toward lesion extraction. After FLL across frames, time intensity curve...

Purpose To automatically segment and classify focal liver lesions (FLLs) on nonenhanced T2-weighted magnetic resonance imaging (MRI) scans using a computer-aided diagnosis (CAD) algorithm. Methods 71 FLLs (30 benign lesions, 19 hepatocellular carcinomas, 22 metastases) MRI were delineated by the proposed CAD scheme. The FLL segmentation procedure involved wavelet multiscale analysis to extract accurate edge information mean intensity values for consecutive edges computed horizontal vertical...

Chronic liver disease (CLD) is currently one of the major causes death worldwide. If not treated, it may lead to cirrhosis, hepatic carcinoma and death. Ultrasound (US) shear wave elastography (SWE) a relatively new, popular, non-invasive technique among radiologists. Although many studies have been published validating SWE either in clinical setting, or by applying machine learning on elastograms, minimal work has done comparing performance popular pre-trained deep networks CLD assessment....

Purpose: A new segmentation technique is implemented for automatic lumen area extraction and stent strut detection in intravascular optical coherence tomography (OCT) images the purpose of quantitative analysis in‐stent restenosis (ISR). In addition, a user‐friendly graphical user interface (GUI) developed based on employed algorithm toward clinical use. Methods: Four datasets frequency‐domain OCT scans human femoral artery were analyzed. First, method fuzzy C means (FCM) clustering wavelet...

In this study the temporal texture differentiation associated with bone formation properties, around loaded oral implants after Platelet Rich Plasma (PRP) employment, was investigated in Panoramic Radiographs.Thirty eligible patients are randomly assigned to two groups. The test group received PRP application new implants, while control no treatment made. bone-to-implant contact region analyzed a clinical sample of 60 Digitized Radiographs, 30 corresponding immediate implant loading...

Purpose: Classify chronic liver disease (CLD) from ultrasound shear‐wave elastography (SWE) imaging by means of a computer aided diagnosis (CAD) system. Methods: The proposed algorithm employs an inverse mapping technique (red‐green‐blue to stiffness) quantify 85 SWE images (54 healthy and 31 with CLD). Texture analysis is then applied involving the automatic calculation 330 first second order textural features every transformed stiffness value map determine functional that characterize...

To develop and validate a computerised algorithm for the interpretation of characteristics fetal heart rate monitoring in labour.Prospective observational study.Labour ward tertiary hospital.Intrapartum cardiotocograms from 24 pregnancies.A was developed to assess baseline rate, variability, number accelerations decelerations. Twenty five minute segments were interpreted by also seven expert reviewers independently. The unaware outcome labour. reliability cardiotocography validity assessed...

Purpose: Speckle suppression in ultrasound (US) images of various anatomic structures via a novel speckle noise reduction algorithm. Methods: The proposed algorithm employs an enhanced fuzzy c-means (EFCM) clustering and multiresolution wavelet analysis to distinguish edges from US images. edge detection procedure involves coarse-to-fine strategy with spatial interscale constraints so as classify local maxima distribution at different frequency bands. As outcome, map across scales is derived...

This research aims to clarify the PRF / CGF membranes and sticky bone preparation together with other platelet concentrates.A few clinical cases will show how is applicative in different oral surgery indications [1].Growth Factor are polypeptide hormones or biological factors.They mediate many cellular processes for various stages of growth.Endodontic therapy, commonly known as root canal treatment, indeed highly successful most cases, success rates typically ranging from 85% 97%.However, a...

Abstract Background Foot perfusion has been recently implemented as a new tool for optimizing outcomes of peripheral endovascular procedures. A custom-made, two-dimensional digital subtraction angiography (PDSA) algorithm to quantify treatment critical limb ischemia (CLI), assist intra-procedural decision-making, and enhance clinical outcomes. Methods The study was approved by the Hospital’s Ethics Committee. This prospective, single-center included seven consecutive patients scheduled...

Purpose: The design and implementation of a computer-based image analysis system employing the support vector machine (SVM) classifier for classification Focal Liver Lesions (FLLs) on routine non-enhanced, T2-weighted Magnetic Resonance (MR) images. Materials Methods: study comprised 92 patients; each one them has undergone MRI performed Magnetom Concerto (Siemens). Typical signs dynamic contrast-enhanced biopsies were employed towards three class categorization cases: 40-benign FLLs,...

Optical Coherence Tomography (OCT) is a catheter-based imaging method that employs near-infrared light to produce high-resolution cross-sectional intravascular images. We propose new segmentation technique for automatic lumen area extraction and stent strut detection in OCT images the purpose of quantitative analysis neointimal hyperplasia (NIH).Two clinical dataset frequency-domainOCT scans human femoral artery were analyzed. First, based on Fuzzy C-Means (FCM) clustering Wavelet Transform...