Search results for "Image Interpretation"

MDCT and virtual angioscopy in spontaneous aortocaval fistula

2007

Aortocaval fistula is a rare, less than 1%, but life threatening complication, of abdominal aortic aneurysm. Mortality is high but prompt recognition of the fistula can reduce mortality rate. The multidetector row CT (MDCT) findings in a 69-year-old patient with a complex medical history characterized by previous episodes of myocardial ischemia, is reported. MDCT shows an early homogeneous enhancement of the inferior vena cava, slightly dilated at the liver level and markedly narrowed above the renal vein due to aneurysm compression. The patient underwent to emergency laparotomy but died during surgery for cardiac arrest. MDCT allows a prompt recognition of the fistula and different compute…

XStrain 4D analysis predicts left ventricular remodeling in patients with recent non-ST-segment elevation myocardial infarction

2016

Tako-tsubo cardiomyopathy and microcirculation.

2010

Takotsubo cardiomyopathy was described for the first time in Japan in the 1990s. It is very similar to the ischemic cardiopathy both for clinical and instrumental characteristics. His peculiarity is an alteration of the ventricular contraction mechanism with hypo-akinesis of the apex and lateral segments of the left ventricle, associated with hyper-kinesis of the heart base which is responsible for the typical echocardiographic aspect of a cruet during the systole. However, the etiology of this cardiomyopathy is still unknown despite the fact that numerous hypothesis have been made. A single study of 16 patients proved multivasal damage by a BLASH SCORE analysis of the coronary radiography.…

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation.

2013

This paper presents a method to computationally estimate the elastic parameters of two biomechanical models proposed for the human liver. The method is aimed at avoiding the invasive measurement of its mechanical response. The chosen models are a second order Mooney–Rivlin model and an Ogden model. A novel error function, the geometric similarity function (GSF), is formulated using similarity coefficients widely applied in the field of medical imaging (Jaccard coefficient and Hausdorff coefficient). This function is used to compare two 3D images. One of them corresponds to a reference deformation carried out over a finite element (FE) mesh of a human liver from a computer tomography image, …

Reduction of spherical-aberration impact in microscopy by wavefront coding

2009

In modern high-NA optical scanning instruments, like scanning microscopes, the refractive-index mismatch between the sample and the immersion medium introduces a significant amount of spherical aberration when imaging deep inside the specimen, spreading out the impulse response. Since such aberration depends on the focalization depth, it is not possible to achieve a static global compensation for the whole 3D sample in scanning microscopy. Therefore a depth-variant impulse response is generated. Consequently, the design of pupil elements that increase the tolerance to this aberration is of great interest. In this paper we report a hybrid technique that provides a focal spot that remains alm…

Optimal control design of preparation pulses for contrast optimization in MRI

2017

Abstract This work investigates the use of MRI radio-frequency (RF) pulses designed within the framework of optimal control theory for image contrast optimization. The magnetization evolution is modeled with Bloch equations, which defines a dynamic system that can be controlled via the application of the Pontryagin Maximum Principle (PMP). This framework allows the computation of optimal RF pulses that bring the magnetization to a given state to obtain the desired contrast after acquisition. Creating contrast through the optimal manipulation of Bloch equations is a new way of handling contrast in MRI, which can explore the theoretical limits of the system. Simulation experiments carried out…

Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer.

2017

The purpose of this study was to investigate the role of features derived from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical information to predict the molecular subtypes of breast cancer. In particular, 60 breast cancers with the following four molecular subtypes were analyzed: luminal A, luminal B, human epidermal growth factor receptor-2 (HER2)-over-expressing and basal-like. The breast region was segmented and the suspicious tumor was depicted on sequentially scanned MR images from each case. In total, 90 features were obtained, including 88 imaging features related to morphology and texture as well as dynamic features from tumor and …

An enhanced memetic differential evolution in filter design for defect detection in paper production.

2008

This article proposes an Enhanced Memetic Differential Evolution (EMDE) for designing digital filters which aim at detecting defects of the paper produced during an industrial process. Defect detection is handled by means of two Gabor filters and their design is performed by the EMDE. The EMDE is a novel adaptive evolutionary algorithm which combines the powerful explorative features of Differential Evolution with the exploitative features of three local search algorithms employing different pivot rules and neighborhood generating functions. These local search algorithms are the Hooke Jeeves Algorithm, a Stochastic Local Search, and Simulated Annealing. The local search algorithms are adap…

Quantification of vesicles in differentiating human SH-SY5Y neuroblastoma cells by automated image analysis

2005

A new automated image analysis method for quantification of fluorescent dots is presented. This method facilitates counting the number of fluorescent puncta in specific locations of individual cells and also enables estimation of the number of cells by detecting the labeled nuclei. The method is here used for counting the AM1-43 labeled fluorescent puncta in human SH-SY5Y neuroblastoma cells induced to differentiate with all-trans retinoic acid (RA), and further stimulated with high potassium (K+) containing solution. The automated quantification results correlate well with the results obtained manually through visual inspection. The manual method has the disadvantage of being slow, labor-i…

Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool

2018

Abstract PURPOSE: To assess the diagnostic performance and the potential as a teaching tool of S-detect in the assessment of focal breast lesions. METHODS: 61 patients (age 21-84 years) with benign breast lesions in follow-up or candidate to pathological sampling or with suspicious lesions candidate to biopsy were enrolled. The study was based on a prospective and on a retrospective phase. In the prospective phase, after completion of baseline US by an experienced breast radiologist and S-detect assessment, 5 operators with different experience and dedication to breast radiology performed elastographic exams. In the retrospective phase, the 5 operators performed a retrospective assessment a…