scholarly journals Visual system plasticity in mammals: the story of monocular enucleation-induced vision loss

Author(s):  
Julie Nys ◽  
Isabelle Scheyltjens ◽  
Lutgarde Arckens
1986 ◽  
Vol 28 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Barbara L. Finlay ◽  
Dale R. Sengelaub ◽  
Claire A. Berian

2001 ◽  
Vol 6 (5) ◽  
pp. 5-7, 10
Author(s):  
Bernard R. Blais

Abstract The assessment of visual impairment has been significantly revised from the AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Fourth Edition. The Fifth Edition, Chapter 12, The Visual System, bases ratings on an estimate of the severity of the effects of certain types of visual loss on the ability to perform activities of daily living (ADLs). Permanent visual impairment is defined as a permanent loss of vision that remains after a patient reaches maximal medical improvement in the underlying medical condition. To assess vision loss, physicians must conduct a visual assessment, including the cause, severity, and prognosis of the underlying disorder and the expected or documented effects of the vision loss on the patient's ability to perform ADLs. Tables in Chapter 12 guide the assessment of visual impairment and consider the results of visual acuity testing, acuity-related impairment rating, and associated classifications. Table 12-10, Classification of Impairment of the Visual System and of the Whole Person, uses clinical data to classify the individual in one of six classes associated with a range of whole person impairment. According to the Fifth Edition of the AMA Guides, examining ophthalmologists or optometrists are required to have new visual acuity charts, appropriate visual field testing equipment, and other equipment for testing contrast sensitivity and glare tests as needed.


2019 ◽  
pp. 93-96
Author(s):  
Matthew J. Thurtell ◽  
Robert L. Tomsak

Nonorganic vision loss is common but can be challenging to diagnose and treat. In this chapter, we begin by reviewing the clinical features that suggest nonorganic vision loss. We next describe the maneuvers that can be used to demonstrate intact visual function in the patient who reports decreased visual acuity in one or both eyes. We then describe strategies to evaluate the patient who has visual field constriction. We describe the features that help to distinguish organic visual field constriction from nonorganic visual field constriction. Lastly, we discuss the management approach, which includes reassuring the patient that there is no evidence of permanent damage to the visual system and a good prognosis for spontaneous recovery.


2014 ◽  
Vol 4 ◽  
pp. 72-81 ◽  
Author(s):  
Krista R. Kelly ◽  
Larissa McKetton ◽  
Keith A. Schneider ◽  
Brenda L. Gallie ◽  
Jennifer K.E. Steeves

2017 ◽  
Vol 39 (1) ◽  
pp. 133-144 ◽  
Author(s):  
Nikita A. Wong ◽  
Sara A. Rafique ◽  
Krista R. Kelly ◽  
Stefania S. Moro ◽  
Brenda L. Gallie ◽  
...  

2020 ◽  
Author(s):  
Samson Chengetanai ◽  
Adhil Bhagwandin ◽  
Mads F. Bertelsen ◽  
Therese Hård ◽  
Patrick R. Hof ◽  
...  

Author(s):  
Klaus-Ruediger Peters

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.


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