A novel progressive thick slab paradigm for volumetric medical image compression and navigation

In this paper, we propose a novel thick slab paradigm which provides an efficient scheme to navigate through large three dimensional (3-D) medical data sets within the framework of wavelet based lossless volumetric compression. We also propose a 3-D wavelet-like multi-resolution decomposition to perform 3-D image compression, which provides better compression ratio and 3 times faster decoding than JPEG-2000 for large data sets of computed tomography modality, along with a clinical workflow for navigation application. The proposed method suits radiology applications better than JPEG-2000 as it improves the productivity of radiologists by reducing their waiting time while the data is being transferred from a remote database over the network, along with reduction in diagnosis time, by providing an efficient navigation scheme with high compression performance.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: S. V. Bharath Kumar, Sudipta Mukhopadhyay, Vishram Nandedkar
• Keywords: 3-D Image Compression, Better Compression Ratio, Efficient Navigation Scheme, ICIP 2004, Image Processing, Large Data Sets, Lossless Volumetric Compression