{"title":"A lossy compression scheme for pre-beamformer and post-beamformer ultrasound data","authors":"Mohamed M. Mansour, Murtaza Ali","doi":"10.1109/ULTSYM.2010.5935839","DOIUrl":null,"url":null,"abstract":"We present a framework for lossy compression of ultrasound RF data. The proposed scheme can be deployed either before or after the receiver beamformer. It performs a two-dimensional decorrelation in both the lateral and axial directions. The decorrelation in the lateral direction is done using a Karhun-loeve like transform, e.g., DCT or Hadamard. The decorrelation in the axial direction is done using customized orthogonal wavelet packets that are optimized for a particular ultrasound probe. The effectiveness of the compression algorithm for both pre-beamformer and post-beamformer compression is established by evaluating the performance on a set of simulated ultrasound signals.","PeriodicalId":6437,"journal":{"name":"2010 IEEE International Ultrasonics Symposium","volume":"15 1","pages":"2299-2302"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Ultrasonics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULTSYM.2010.5935839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
We present a framework for lossy compression of ultrasound RF data. The proposed scheme can be deployed either before or after the receiver beamformer. It performs a two-dimensional decorrelation in both the lateral and axial directions. The decorrelation in the lateral direction is done using a Karhun-loeve like transform, e.g., DCT or Hadamard. The decorrelation in the axial direction is done using customized orthogonal wavelet packets that are optimized for a particular ultrasound probe. The effectiveness of the compression algorithm for both pre-beamformer and post-beamformer compression is established by evaluating the performance on a set of simulated ultrasound signals.