Literature DB >> 17387002

Data security assurance in CAD-PACS integration.

Zheng Zhou1.   

Abstract

Computer aided diagnosis/detection (CAD) has been extensively used in mammography, chest, and three-dimensional (3D) CT lung imaging for clinical decision support over last 5-6 years. Recent trend is to integrate CAD applications with a PACS so that CAD results can be reviewed by most physicians for diagnosis. However, data security issue arises when a CAD application is integrated with a PACS. In this paper, we present a lossless digital signature embedding (LDSE) method for assuring the integrity of images used by the CAD and new images and results generated by the CAD application. Our experimental results show that the method is effective for assuring the integrity of CAD images. Combining this method with traditional one-dimensional digital signature technique for protecting CAD results, we provide a complete integrity assurance solution for a CAD application integrated with a PACS.

Mesh:

Year:  2007        PMID: 17387002     DOI: 10.1016/j.compmedimag.2007.02.013

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  Applying a presentation content manifest for signing clinical documents.

Authors:  Chung-Yueh Lien; Chia-Hung Hsiao; Lu-Chou Huang; Tsair Kao
Journal:  J Digit Imaging       Date:  2009-03-17       Impact factor: 4.056

Review 2.  An engineering view on megatrends in radiology: digitization to quantitative tools of medicine.

Authors:  Namkug Kim; Jaesoon Choi; Jaeyoun Yi; Seungwook Choi; Seyoun Park; Yongjun Chang; Joon Beom Seo
Journal:  Korean J Radiol       Date:  2013-02-22       Impact factor: 3.500

Review 3.  Deep Learning in Medical Imaging: General Overview.

Authors:  June-Goo Lee; Sanghoon Jun; Young-Won Cho; Hyunna Lee; Guk Bae Kim; Joon Beom Seo; Namkug Kim
Journal:  Korean J Radiol       Date:  2017-05-19       Impact factor: 3.500

  3 in total

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