Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
J Digit Imaging ; 13(1): 25-32, 2000 Feb.
Article in English | MEDLINE | ID: mdl-10696598

ABSTRACT

The purpose of the study was to evaluate the effects of lossy compression on grayscale ultrasound images to determine how much compression can be applied while still maintaining images that are acceptable for diagnostic purposes. The study considered how the acquisition technique (video frame-grabber versus directly acquired in digital form) influences how much compression can be applied. For directly acquired digital images, the study considered how text (that is burned into the image) affects the compressibility of the image. The lossy compression techniques that were considered include JPEG and a Wavelet algorithm using set partitioning in hierarchical trees (SPIHT).


Subject(s)
Image Processing, Computer-Assisted , Radiology Information Systems , Ultrasonography
2.
Radiology ; 206(3): 609-16, 1998 Mar.
Article in English | MEDLINE | ID: mdl-9494474

ABSTRACT

PURPOSE: To assess the effect of wavelet-based compression of posteroanterior chest radiographs on detection of small uncalcified pulmonary nodules and fibrosis. MATERIALS AND METHODS: Computed tomography (CT) of the chest was used to identify 20 patients with normal posteroanterior chest radiographs, 20 with a solitary uncalcified pulmonary nodule 1-2 cm in diameter, and 20 with fibrotic disease. A double-blind protocol for readings of original images and images compressed at 40:1 and 80:1 was analyzed by using the nonparametric receiver operating characteristic to measure differences in diagnostic accuracy and their statistical significance. RESULTS: There was no substantial difference in the overall diagnostic accuracy (measured by the area under the curve index) for both nodules and fibrosis between images compressed at 40:1 and 80:1 and uncompressed images. Readers tended to perform better on images compressed at 40:1 compared with uncompressed images. The "high-sensitivity" portion of the 80:1 compression curve for nodules was below that for the uncompressed curve, although this was not statistically significant. CONCLUSION: Lossy compression of chest radiographs at 40:1 can be used without decreased diagnostic accuracy for detection of pulmonary nodules and fibrosis. There is no statistically significant difference in diagnostic accuracy at 80:1 compression, but detection ability is decreased.


Subject(s)
Algorithms , Image Processing, Computer-Assisted , Pulmonary Fibrosis/diagnostic imaging , Signal Processing, Computer-Assisted , Solitary Pulmonary Nodule/diagnostic imaging , Tomography, X-Ray Computed/methods , Double-Blind Method , Humans , Pulmonary Fibrosis/epidemiology , ROC Curve , Radiographic Image Enhancement/methods , Radiography, Thoracic , Retrospective Studies , Sensitivity and Specificity , Solitary Pulmonary Nodule/epidemiology
SELECTION OF CITATIONS
SEARCH DETAIL
...