PubMed Health⌕ Search

PubMed · 14715067

Three-dimensional computer-automated threshold Amsler grid test.

Abstract

We describe a novel method for testing a visual field that employs a computer monitor with displays of varying contrast that permits unprecedented resolution and characterization of the structure of scotomas in three dimensions. Patients are placed in front of a touch-sensitive computer screen at a fixed distance. With one eye covered, they focus on a central fixation marker and trace with their finger the areas on an Amsler grid that are missing from their field of vision. Increasing degrees of contrast of the Amsler grid are simulated by repeating the test at different gray-scale levels. The results are recorded and then displayed as topographical contour rings by the computer test program. The results can also be rendered as an immediate 3-D depiction of the central hill-of-vision. Several clinical pilot studies have been conducted at the Doheny Eye Institute and more than 200 patients have been examined with this system so far. Conditions such as optic neuritis, anterior ischemic optic neuropathy (AION), age-related macular degeneration (AMD), glaucoma, and ocular hypertension have been successfully assessed by this test. Each condition provides unique patterns that are most evident in 3-D. The 3-D computer-automated threshold Amsler grid test is an innovative and noninvasive visual field test. It provides several advantages over state-of-the-art standard automated perimetry, including: (1) additional information through 3-D depiction of scotomas, such as location, extent, slope, depth, and shape; (2) high angular resolution (1 deg compared with typically 6 deg); (3) a simple test setup (merely a touch-sensitive computer monitor and the test software); (4) excellent patient compliance (spending 4 to 5 min per eye). In light of its promising initial tests, the 3-D visual field test appears to have the potential for the early detection and monitoring of various diseases over time.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Wolfgang Fink, Alfredo A Sadun. Three-dimensional computer-automated threshold Amsler grid test.. https://doi.org/10.1117/1.1625952

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

KEEP EXPLORING

Related citations

Quantitative analysis of contraction patterns in electrical activity signal of pregnant uterus as an alternative to mechanical approach.

Monitoring of uterine contraction activity is an important diagnostic tool used during both pregnancy and labour. The strain the pregnant uterus exerts on the maternal abdomen is measured via external tocography. However, limitation of this approach has caused the development of another technique-electrohysterography--which is based on the recording of electrical uterine activity. A computer-aided system is presented, which allows the recording of electrohysterographic signals from the maternal abdomen and their on-line analysis both in time and frequency domains. As a research material, we acquired 108 traces during a 24 h period before labour from a group of patients between 37 and 40 weeks of gestation. The comparison study between electrohysterography and tocography was carried out thanks to the possibility of simultaneous recording of mechanical and electrical uterine activities. The obtained results show that both methods demonstrate high agreement in relation to the number of contractions recognized as being consistent. However, their agreement in relation to the quantitative description of recognized patterns has appeared to be unacceptable to consider these methods as fully alternative. The appropriate way of further development of electrohysterography seems to be spectral analysis. Several spectral parameters describing electrophysiological properties of uterine muscle can be obtained by the use of electrohysterographic signals.

Diagnosis, Computer-Assisted↗

Multimodal imaging and computer assisted diagnosis for functional tumour characterisation.

Radiological modalities, especially CT, mainly provide morphological and structural information with high spatial resolution covering large volumes. Novel developments, which are predominantly MR-based, also deliver 'functional' information, which can be used for individual characterisation of tumour biology. Both aspects and modalities, additionally complemented by ultrasound, have to be combined in the radiological workflow of cancer patients including volumetric visualisation, information extraction from multimodal imaging, quantitative surrogates, intelligent interpretation assistance and image-guided procedures. Based on volumetric visualisation and the generation of 3D+t maps, CAD tools have to address registration of different image series from different modalities, and extraction of quantitative surrogates. The latter will then serve tumour characterisation, therapeutic decision-making, image-guided procedures and efficacy evaluation.

Diagnosis, Computer-Assisted↗