Estimation of human age is important in the fields forensic medicine and detection neurodegenerative diseases brain. Particularly, estimation methods using brain magnetic resonance (MR) images are greatly significant because these not only noninvasive but also do lead to radiation exposure. Although several MR have already been investigated deep learning, there no reports involving younger subj...

PURPOSE To describe the MR findings of brain and spinal cord in adult-onset adrenoleukodystrophy. METHODS One hundred sixty-four adult patients ranging from 19 to 74 years of age (119 men and 45 women) with clinically and biochemically proved adrenoleukodystrophy underwent MR of the brain. In 30 patients the spinal cord also was evaluated with MR. RESULTS The brain MR findings were abnormal...

PURPOSE To determine whether magnetic susceptibility functional MR imaging of cerebral blood volumes provides information similar to fludeoxyglucose F 18 positron emission tomography (PET) brain images in patients undergoing evaluation for dementia. METHODS Ten subjects were studied with both PET and functional MR. Clinical diagnoses included probable Alzheimer disease (n = 5), possible Alzhe...

Two endopeptidases displaying similar specificities towards peptide hormone substrates but differing in molecular size have been identified in rabbit heart and isolated by a combination of ion-exchange chromatography, gel filtration and preparative gel electrophoresis. These two enzymes share several properties with the previously described rabbit brain endooligopeptidase A. They were shown to ...

Diffusion-weighted magnetic resonance (MR) imaging provides image contrast that is different from that provided by conventional MR techniques. It is particularly sensitive for detection of acute ischemic stroke and differentiation of acute stroke from other processes that manifest with sudden neurologic deficits. Diffusion-weighted MR imaging also provides adjunctive information for other cereb...

Precision medicine involves answering counterfactual questions such as “Would this patient respond better to treatment A or B?” These types of are causal in nature and require the tools inference be answered, e.g., with a structural model (SCM). In work, we develop an SCM that models interaction between demographic information, disease covariates, magnetic resonance (MR) images brain for people...

OBJECT The aims of this study were to develop a three-dimensional patient-specific finite element (FE) brain model with detailed anatomical structures and appropriate material properties to predict intraoperative brain shift during neurosurgery and to update preoperative magnetic resonance (MR) images using FE modeling for presurgical planning. METHODS A template-based algorithm was developed...

The main idea of this work is to reduce the physician time by assessing with computer aided tumor detection Human investigation routine technique for brain MRI and tumors classification. Interpretation images based on organized explicit classification also various techniques have been proposed. proposed system segments Brain MR help fuzzy corner points segmented area subjected grade Support vec...

BACKGROUND AND PURPOSE Accurate assessment of the number and lesion characteristics of brain metastasis is very important in GKS. The purpose of this study was to compare the diagnostic efficacy of DD gadobutrol in the detection of brain metastases compared with a DD 0.5-mol/L gadolinium contrast, gadopentetate dimeglumine. MATERIALS AND METHODS Records of 27 patients (male to female ratio, 1...