Bleck J S, Gebel M, Witt B, Schmitt K J, Breitkopf P, Westhoff-Bleck M, Wagner S, Göke M, Caselitz M, Schneider A, Strassburg C, Boozari B, Manns M
Department of Gastroenterology and Hepatology, Medizinische Hochschule Hannover, Germany.
Ultraschall Med. 1998 Dec;19(6):259-64. doi: 10.1055/s-2007-1000501.
Gray scale image assessment in clinical ultrasound requires working in dim light or a dark room. Daylight conditions offer the advantage of shorter visual reaction time and enhanced visual perception. Look-up table manipulations could improve image brightness.
We investigated the possibility of brightness and contrast enhancement of coloured adaptive linear look-up tables (CALUT's) and their artifact resistance. Therefore under real-time conditions red/brown, green and blue CALUT's were calculated using the gray scale distribution (mean and standard deviation) of the actual image. The changes in contrast of several structural features (echo-poor and echogenic lesions, artifacts) were assessed by clinical investigators (n = 7).
The CALUT's produced, independent of the original, images with constant brightness and contrast. Even under daylight conditions no artifacts appeared. Under scotopic conditions the red/brown CALUT's showed the best results compared to the unchanged image and the gray, green, and blue CALUT's. Hyper and hypoechoic differences with small contrast to the surrounding tissue are enhanced and can be detected more easily.
Daylight sonography allows examination even in non-darkened rooms without loss of information. Eye adaptation to changing light conditions is no longer necessary; the offered image information is more suitable for the eye.
临床超声中的灰度图像评估需要在暗光环境或暗室中进行。日光条件具有视觉反应时间短和视觉感知增强的优势。查找表操作可以提高图像亮度。
我们研究了彩色自适应线性查找表(CALUT)增强亮度和对比度的可能性及其抗伪像能力。因此,在实时条件下,利用实际图像的灰度分布(均值和标准差)计算红色/棕色、绿色和蓝色CALUT。由临床研究人员(n = 7)评估几种结构特征(低回声和高回声病变、伪像)的对比度变化。
CALUT生成的图像具有恒定的亮度和对比度,与原始图像无关。即使在日光条件下也不会出现伪像。在暗视条件下,与未改变的图像以及灰色、绿色和蓝色CALUT相比,红色/棕色CALUT显示出最佳效果。与周围组织对比度较小的高回声和低回声差异得到增强,更容易被检测到。
日光超声检查即使在未遮光的房间也能进行,且不会丢失信息。不再需要眼睛适应不断变化的光照条件;提供的图像信息更适合眼睛。