Research on the storage method of Picture Archiving and Communication System (PACS) using Hadoop.

• Main Authors: Chung-Ping Huang, 黃仲平
• Other Authors: Shou-Chih Lo
• Format: Others
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/01782859392796866343

碩士 === 國立東華大學 === 資訊工程學系 === 104 === PACS is the basis of archival storage and transmission of medical image files under the modern development of medicine. With the rapid development of medical imaging technology, image resolutions get largely improved and there are a variety of ways to show images. These make medical image data as massive levels, and hence the storage of medical image files has become a big data problem. Hadoop HDFS distributed clustered storage systems which can be expanded horizontally by using inexpensive generic hardware solve the ceiling effect caused by traditional storage devices that only can be expanded vertically. By putting PACS over the HDFS storage system, this architecture can solve medical image storage problems such as reliability, security, and easy expansion. More importantly, some techniques about big data and cloud computing can be involved then. The combination of HDFS storage systems and PACS systems is challenging in technology and cost. In this thesis, we start from the drawback that the HDFS storage system cannot efficiently manage small files, and then design a hybrid storage system architecture based on the format of Hadoop SequenceFile for most realistic applications. The new architecture contains the HDFS storage systems, H-DICOM format and traditional NFS storage. The core component is HFHSC (H-DICOM File Hadoop SequenceFile Converter) that is used mostly to translate DICOM images to H-DICOM formats. The test results indicate that this architecture can meet the needs of fast access and can process a vast amount of medical imaging data.