Medical Image Intelligent Access Integrated with Electronic Medical Records System for Brain Degenerative Disease

The Book Presents Several Advances In Different Research Areas Related To Data Storage, From The Design Of A Hierarchical Memory Subsystem In Embedded Signal Processing Systems For Data-intensive Applications, Through Data Representation In Flash Memories, Data Recording And Retrieval In Conventional Optical Data Storage Systems And The More Recent Holographic Systems, To Applications In Medicine Requiring Massive Image Databases. In this chapter, modulation codes for optical data storage have been discussed. At first, four types of constraints are introduced, including run-length limited, conservative, low-pass and constant-weight constraints. Since high spatial frequency components tend to be attenuated during recording/reading procedures and long runs of OFF pixels increase difficulty in tracking, the former three types of constraints are proposed to avoid these adverse situations as much as possible. On the other hand, the constant-weight constraint gives modulated pages that are easier to decode. In addition, experiments indicate that better performance can be obtained for modulation codes that have sparse weight. Based on the constraints, several modulation codes are discussed. The one-dimensional modulation codes adopted in current optical storage systems, i.e., EFM for CD, EFMPlus for DVD and 17PP for Blu-ray disc, are first introduced. All of these modulation codes are developed for the run-length limited constraint. Next, we focus on 2-D modulation codes for holographic data storage systems. They are classified into block codes and strip codes. Information bits and code blocks have a one-toone relationship in block codes whose encoder/decoder can be simply realized by look-up tables. However, block codes cannot guarantee that patterns across block borders comply with the required constraints. This shortcoming can be circumvented by strip codes, which produce code blocks based on not only the input information bits but also neighboring modulated blocks. A finite state machine and a Viterbi decoder are typical schemes for the encoding and decoding of the strip codes, respectively. Variable-length modulation codes, in contrast to fixed-length modulation codes, do not fix the number of input information bits or the code block size. The relaxed design increases the number of legal patterns and provides better performance than the fixed-length modulation codes with the same code rate. However, error propagation problems necessitate a more elaborated decoder scheme. Finally, comparisons among different types of modulation codes introduced in this chapter are listed in Table 4 and Table 5 In this study, the intelligent information access framework for medical image databases was designed to integrate radiological reports and clinical information. The most important concern in this approach is the interdisciplinary collaboration among neurology, medical informatics and radiology experts. The second important concern would be the implementation with the critical and service-oriented hospital information system. Therefore, we will test the system by the physician-in-the-loop approach to enhance diagnosis practically and revise the system. Moreover, we focused on decision support for dementia diagnosis, teaching and research. Therefore, we would retrieve images of similar patients via a medical grid by querying keywords of the base information, clinical History, clinical diagnose, Lab. we get the new retrieved image database for the patients. Therefore, we will analysis their medical image correlation by image processing and the relevance of the clinical data and images in order to assist diagnosis, research and teaching. Security and privacy is also a very important issue in this field of research. First, we build trusted electronic relationships between healthcare customers, employees, businesses, trading partners and stakeholders. Therefore, when we use the patient's anamnesis, examination data, or medical images, whether we have the patient's permission or not, there must be a set of procedures to follow accordingly. We plan to consider the security and privacy function in the system, in the future. The implementation of this prototyping system must be well organized and the initial testing done on an offline system. The clinical data could be backed-up and copied to a Preface......Page 5 Tzi-Dar Chiueh and Chi-Yun Chen......Page 15 Tzi-Dar Chiueh and Chi-Yun Chen......Page 32 Jérôme Degert and Eric Freysz......Page 48 Anxiao (Andrew) Jiang......Page 67 Mohamed A. Abd El Ghany, Magdy A. El-Moursy* and Aly E. Salama......Page 89 Ming-Haw Jing, Yan-Haw Chen, Zih-Heng Chen,Jian-Hong Chen & Yaotsu Chang......Page 107 Salam Traboulsi......Page 121 Florin Balasa, Ilie I. Luican, Hongwei Zhu and Doru V. Nasui......Page 131 Mohamed A. Abd El Ghany, Magdy A. El-Moursy* and Mohammed......Page 147 Octavian Postolache, Pedro Silva Girão and José Miguel Dias Pereira......Page 171 Iman Morsi......Page 190 Ping-Kung Yipf, Daniel Racoceanugh and Heng-Shuen Chence......Page 216 Raquel Pérez-Aloe, José M. Valverde, Antonio Lara, Fernando Castaño, Juan M. Carrillo, José González and Isidro Roa......Page 228 In this chapter, a parallel algorithm for LZ based data compression is described by transforming a datadependent algorithm to a data independent regular algorithm. To further improve the latency, a control variable to indicate early completion is used. The