Azpiroz Leehan J, Lerallut J F, Magaña I
Universidad Autónoma Metropolitana-Iztapalapa, Departamento de Ingeniería Eléctrica, Iztapalapa, D.F., México.
Med Prog Technol. 1994;20(1-2):101-10.
We present a new multiprocessor architecture for medical image compression using digital signal processors. The system has been designed to be used in a NuBus-based workstation and to apply different image compression algorithms to medical images. The system has been tested with a full-frame cosine transform and bit allocation table on several imaging modalities ranging from ultrasound to magnetic resonance imaging. Results show that image quality is acceptable when the allocation tables are calculated for each specific image modality. Implementation of algorithms such as wavelet transforms and vector quantization which respond to the characteristics of each type of image is in progress.
我们提出了一种使用数字信号处理器进行医学图像压缩的新型多处理器架构。该系统设计用于基于NuBus的工作站，并将不同的图像压缩算法应用于医学图像。该系统已在从超声到磁共振成像的多种成像模态上使用全帧余弦变换和比特分配表进行了测试。结果表明，当为每种特定图像模态计算分配表时，图像质量是可以接受的。针对每种图像类型的特点的小波变换和矢量量化等算法的实现正在进行中。
