Search PubMedSearch

PubMed · 6781289

An initial experience with post-data processing in hepatic sonography.

Abstract

Sonographic image manipulation became a possibility with the advent of digital equipment. Depending on the manufacturer, this manipulation may be called pre-data processing, post-data processing, or both. It involves changing the normal assigned gray scale curve to accentuate defined decibel ranges. Sixty consecutive patients were examined who had technically adequate hepatic sonograms using the normal linear gray scale range and post-data processing (PDP). Sonograms were considered normal in 32 patients, while 28 were believed abnormal. In 10 of the 28 abnormal scans, hepatic metastases were better visualized with post-data processing (one false-positive). These were patients in whom there was a minimal echogenic difference between the surrounding normal liver and the lesion. However, in no case was a lesion seen after post-data processing that was not recognizable on the linear gray scale scan. In the other 18 abnormal scans (one false-positive study), the echogenic difference between the lesion and the liver was large enough that PDP was not helpful. The possible pitfalls in the use of PDP, such as poor technique, are discussed and demonstrated. Improvement in hepatic sonographic sensitivity will require more fundamental improvement of equipment than provided by post-data processing.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M E Bernardino, J L Thomas, G B Mayes. 1981. An initial experience with post-data processing in hepatic sonography.. https://doi.org/10.2214/ajr.136.3.521

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

KEEP EXPLORING

Related citations

Semantic category imprecision: a connectionist study of the boundaries of word meanings.

The view that word meanings have a discrete symbolic character has led to misleading impressions about their neurobiological basis. We hypothesize that this lexical semantic knowledge is imprecise, overlapping, and widely distributed throughout the human temporal lobes. The present study uses a computer modeling experiment to investigate this hypothesis. The objects in the study are "cups" and "bowls." Thirty connectionist networks were taught that wide containers without handles are "bowls" and that narrow containers with handles are "cups." The network was then asked to identify 14 different cylindrical containers of seven different widths, some with handles and others without. When compared to a study of human performance, the networks manifested the normal pattern of object naming and the normal pattern of individual variability.

Computers