Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 4016405

Visual field defects.

D Kinshuck·J McGill
View original source ↗Export metadata ↓

Abstract

The detection and analysis of visual field defects allows the practitioner to examine some functions of the central nervous system at the bedside. Cerebrovascular accidents and temporal lobe tumours can be diagnosed easily, as can pituitary lesions.

Explore related subjects

Brain DiseasesDominance, CerebralFixation, OcularHumansOptic Nerve DiseasesRetinal DiseasesScotomaVision TestsVisual AcuityVisual FieldsJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

D Kinshuck, J McGill. 1985. Visual field defects.. https://pubmed.ncbi.nlm.nih.gov/4016405/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

A penalized likelihood approach to magnetic resonance image reconstruction.

Currently, images acquired via magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) technology are reconstructed using the discrete inverse Fourier transform. While computationally convenient, this approach is not able to filter out noise. This is a serious limitation because the amount of noise in MRI and fMRI can be substantial. In this paper, we propose an alternative approach to reconstruction, based on penalized likelihood methodology. In particular, we focus on non-linear shrinkage estimators and show that this approach achieves a great reduction in integrated mean squared error (IMSE) of the estimated image with respect to the currently used estimator. This approach is extremely fast and easy to implement computationally. In addition, it can be combined with various alternative approaches to MR image reconstruction and can be easily adapted to other, non-MRI contexts, in which the observed data and the quantities of interest are related via a linear transform.

Brain Diseases↗