scholarly journals A New Transparent Cloud-Based Model for Sharing Medical Images with Data Compression and Proactive Resource Elasticity

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Rodrigo Da Rosa ◽  
Cristiano André Costa ◽  
Igor De Nardin ◽  
Thiago Lopes
2008 ◽  
Vol 21 (6) ◽  
pp. 737-743 ◽  
Author(s):  
R. Rajeswari ◽  
R. Rajesh

Four dimensional medical images, namely fMRI, require a large volume of memory to store the data. Compression techniques are therefore used for the storage and transmission of these medical images. This paper proposes a coding scheme for volumetric images which in the first stage recognizes significant images and in the second stage compresses those images using a JPEG-LS coding scheme. An example implementation for 4D fMRI data series of brain stored in ANALYZE file format is illustrated in this paper. The proposed scheme provides efficient compression for 4D fMRI medical images.


EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.


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