KEYWORDS: Data centers, Medical imaging, Teleradiology, Information security, Internet, Computer networks, Cryptography, Picture Archiving and Communication System, Computed tomography, Network security
We have developed an external storage system by using secret sharing scheme and tokenization for regional medical cooperation, PHR service and information preservation. The use of mobile devices such as smart phones and tablets will be accelerated for a PHR service, and the confidential medical information is exposed to the risk of damage and intercept. We verified the transfer rate of the sending and receiving of data to and from the external storage system that connected it with PACS by the Internet this time. External storage systems are the data centers that exist in Okinawa, in Osaka, in Sapporo and in Tokyo by using secret sharing scheme. PACS continuously transmitted 382 CT images to the external data centers. Total capacity of the CT images is about 200MB. The total time that had been required to transmit was about 250 seconds. Because the preservation method to use secret sharing scheme is applied, security is strong. But, it also takes the information transfer time of this system too much. Therefore, DICOM data is masked to the header information part because it is made to anonymity in our method. The DICOM data made anonymous is preserved in the data base in the hospital. Header information including individual information is divided into two or more tallies by secret sharing scheme, and preserved at two or more external data centers. The token to relate the DICOM data anonymity made to header information preserved outside is strictly preserved in the token server. The capacity of header information that contains patient's individual information is only about 2% of the entire DICOM data. This total time that had been required to transmit was about 5 seconds. Other, common solutions that can protect computer communication networks from attacks are classified as cryptographic techniques or authentication techniques. Individual number IC card is connected with electronic certification authority of web medical image conference system. Individual number IC card is given only to the person to whom the authority to operate web medical image conference system was given.
We have developed the teleradiology network system with a new information security solution that provided with web medical image conference system. In the teleradiology network system, the security of information network is very important subjects. We are studying the secret sharing scheme and the tokenization as a method safely to store or to transmit the confidential medical information used with the teleradiology network system. Secret sharing scheme is a method of dividing the confidential medical information into two or more tallies. Our method has the function of automatic backup. With automatic backup technology, if there is a failure in a single tally, there is redundant data already copied to other tally. Confidential information is preserved at an individual Data Center connected through internet because individual medical information cannot be decoded by using one tally at all. Therefore, even if one of the Data Centers is struck and information is damaged due to the large area disaster, the confidential medical information can be decoded by using the tallies preserved at the data center to which it escapes damage. Moreover, by using tokenization, the history information of dividing the confidential medical information into two or more tallies is prevented from lying scattered by replacing the history information with another character string. As a result, information is available only to those who have rightful access it and the sender of a message and the message itself are verified at the receiving point. We propose a new information transmission method and a new information storage method with a new information security solution.
We have developed the teleradiology network system with a new information security solution that provided with web
medical image conference system. In the teleradiology network system, the security of information network is very
important subjects. We are studying the secret sharing scheme and the tokenization as a method safely to store or to
transmit the confidential medical information used with the teleradiology network system. The confidential medical
information is exposed to the risk of the damage and intercept. Secret sharing scheme is a method of dividing the
confidential medical information into two or more tallies. Individual medical information cannot be decoded by using
one tally at all. Our method has the function of automatic backup. With automatic backup technology, if there is a failure
in a single tally, there is redundant data already copied to other tally. Confidential information is preserved at an
individual Data Center connected through internet because individual medical information cannot be decoded by using
one tally at all. Therefore, even if one of the Data Centers is struck and information is damaged due to the large area
disaster like the great earthquake of Japan, the confidential medical information can be decoded by using the tallies
preserved at the data center to which it escapes damage. Moreover, by using tokenization, the history information of
dividing the confidential medical information into two or more tallies is prevented from lying scattered by replacing the
history information with another character string (Make it to powerlessness). As a result, information is available only to
those who have rightful access it and the sender of a message and the message itself are verified at the receiving point.
We propose a new information transmission method and a new information storage method with a new information
security solution.
We have developed the teleradiology network system with a new information security solution that provided
with web medical image conference system. In the teleradiology network system, the security of information network is
very important subjects. We are studying the secret sharing scheme as a method safely to store or to transmit the
confidential medical information used with the teleradiology network system. The confidential medical information is
exposed to the risk of the damage and intercept. Secret sharing scheme is a method of dividing the confidential medical
information into two or more tallies. Individual medical information cannot be decoded by using one tally at all. Our
method has the function of RAID. With RAID technology, if there is a failure in a single tally, there is redundant data
already copied to other tally. Confidential information is preserved at an individual Data Center connected through
internet because individual medical information cannot be decoded by using one tally at all. Therefore, even if one of the
Data Centers is struck and information is damaged, the confidential medical information can be decoded by using the
tallies preserved at the data center to which it escapes damage. We can safely share the screen of workstation to which
the medical image of Data Center is displayed from two or more web conference terminals at the same time. Moreover,
Real time biometric face authentication system is connected with Data Center. Real time biometric face authentication
system analyzes the feature of the face image of which it takes a picture in 20 seconds with the camera and defends the
safety of the medical information. We propose a new information transmission method and a new information storage
method with a new information security solution.
Diagnostic MDCT imaging requires a considerable number of images to be read. Moreover, the doctor who
diagnoses a medical image is insufficient in Japan. Because of such a background, we have provided diagnostic
assistance methods to medical screening specialists by developing a lung cancer screening algorithm that automatically
detects suspected lung cancers in helical CT images, a coronary artery calcification screening algorithm that
automatically detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative
evaluation of osteoporosis. We also have developed the teleradiology network system by using web medical image
conference system. In the teleradiology network system, the security of information network is very important subjects.
Our teleradiology network system can perform Web medical image conference in the medical institutions of a remote
place using the web medical image conference system. We completed the basic proof experiment of the web medical
image conference system with information security solution. We can share the screen of web medical image conference
system from two or more web conference terminals at the same time. An opinion can be exchanged mutually by using a
camera and a microphone that are connected with the workstation that builds in some diagnostic assistance methods.
Biometric face authentication used on site of teleradiology makes "Encryption of file" and "Success in login" effective.
Our Privacy and information security technology of information security solution ensures compliance with Japanese
regulations. As a result, patients' private information is protected. Based on these diagnostic assistance methods, we have
developed a new computer-aided workstation and a new teleradiology network that can display suspected lesions
three-dimensionally in a short time. The results of this study indicate that our radiological information system without
film by using computer-aided diagnosis workstation and our teleradiology network system can increase diagnostic speed,
diagnostic accuracy and security improvement of medical information.
Mass screening based on multi-helical CT images requires a considerable number of images to be read. It is
this time-consuming step that makes the use of helical CT for mass screening impractical at present. Moreover, the
doctor who diagnoses a medical image is insufficient in Japan. To overcome these problems, we have provided
diagnostic assistance methods to medical screening specialists by developing a lung cancer screening algorithm that
automatically detects suspected lung cancers in helical CT images, a coronary artery calcification screening algorithm
that automatically detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative
evaluation of osteoporosis likelihood by using helical CT scanner for the lung cancer mass screening. The functions to
observe suspicious shadow in detail are provided in computer-aided diagnosis workstation with these screening
algorithms. We also have developed the telemedicine network by using Web medical image conference system with the
security improvement of images transmission, Biometric fingerprint authentication system and Biometric face
authentication system. Biometric face authentication used on site of telemedicine makes "Encryption of file" and
"Success in login" effective. As a result, patients' private information is protected. We can share the screen of Web
medical image conference system from two or more web conference terminals at the same time. An opinion can be
exchanged mutually by using a camera and a microphone that are connected with workstation. Based on these diagnostic
assistance methods, we have developed a new computer-aided workstation and a new telemedicine network that can
display suspected lesions three-dimensionally in a short time. The results of this study indicate that our radiological
information system without film by using computer-aided diagnosis workstation and our telemedicine network system
can increase diagnostic speed, diagnostic accuracy and security improvement of medical information.
Mass screening based on multi-helical CT images requires a considerable number of images to
be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at
present. To overcome this problem, we have provided diagnostic assistance methods to medical screening
specialists by developing a lung cancer screening algorithm that automatically detects suspected lung
cancers in helical CT images, a coronary artery calcification screening algorithm that automatically
detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative
evaluation of osteoporosis likelihood by using helical CT scanner for the lung cancer mass screening. The
function to observe suspicious shadow in detail are provided in computer-aided diagnosis workstation
with these screening algorithms. We also have developed the telemedicine network by using Web medical
image conference system with the security improvement of images transmission, Biometric fingerprint
authentication system and Biometric face authentication system. Biometric face authentication used on
site of telemedicine makes "Encryption of file" and Success in login" effective. As a result, patients'
private information is protected. Based on these diagnostic assistance methods, we have developed a new
computer-aided workstation and a new telemedicine network that can display suspected lesions
three-dimensionally in a short time. The results of this study indicate that our radiological information
system without film by using computer-aided diagnosis workstation and our telemedicine network
system can increase diagnostic speed, diagnostic accuracy and security improvement of medical
information.
Multislice CT scanner advanced remarkably at the speed at which the chest CT images were acquired for mass screening.
Mass screening based on multislice CT images requires a considerable number of images to be read. It is this
time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this
problem, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer
screening algorithm that automatically detects suspected lung cancers in helical CT images and a coronary artery
calcification screening algorithm that automatically detects suspected coronary artery calcification. Moreover, we have
provided diagnostic assistance methods to medical screening specialists by using a lung cancer screening algorithm built
into mobile helical CT scanner for the lung cancer mass screening done in the region without the hospital. We also have
developed electronic medical recording system and prototype internet system for the community health in two or more
regions by using the Virtual Private Network router and Biometric fingerprint authentication system and Biometric face
authentication system for safety of medical information. Based on these diagnostic assistance methods, we have now
developed a new computer-aided workstation and database that can display suspected lesions three-dimensionally in a
short time. This paper describes basic studies that have been conducted to evaluate this new system.
Multi-helical CT scanner advanced remarkably at the speed at which the chest CT images were acquired for mass
screening. Mass screening based on multi-helical CT images requires a considerable number of images to be read. It is
this time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this
problem, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer
screening algorithm that automatically detects suspected lung cancers in helical CT images and a coronary artery
calcification screening algorithm that automatically detects suspected coronary artery calcification. We also have
developed electronic medical recording system and prototype internet system for the community health in two or more
regions by using the Virtual Private Network router and Biometric fingerprint authentication system and Biometric face
authentication system for safety of medical information. Based on these diagnostic assistance methods, we have now
developed a new computer-aided workstation and database that can display suspected lesions three-dimensionally in a
short time. This paper describes basic studies that have been conducted to evaluate this new system. The results of this
study indicate that our computer-aided diagnosis workstation and network system can increase diagnostic speed,
diagnostic accuracy and safety of medical information.
Mass screening based on helical CT images requires a considerable number of images to be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this problem, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer screening algorithm that automatically detects suspected lung cancers in helical CT images and a coronary artery calcification screening algorithm that automatically detects suspected coronary artery calcification. We also have developed electronic medical recording system and prototype internet system for the community health in two or more regions by using the Virtual Private Network router. This electronic medical recording system and prototype internet system were developed so as not to loosen the communication among staffs of hospital. Based on these diagnostic assistance methods, we have now developed a new computer-aided workstation and database that can display suspected lesions three-dimensionally in a short time. This paper describes basic studies that have been conducted to evaluate this new system.
Lung cancer is the most common cause, accounting for about 20% of all cancer deaths for males in Japan. Myocardial infarction is also known as a most fearful adult disease. Recently, multi-helical CT scanner advanced remarkably at the speed at which the chest CT images were acquired for screening examination. This screening examination requires a considerable number of images to be read. It is this time-consuming step that makes the use of multi-helical CT for mass screening. To overcome this problem, our group has developed a computer-aided diagnosis algorithm to automatically detect suspicious regions of lung cancer and coronary calcifications in chest CT images, so far. And in this time, our group has developed a newly computer-aided diagnosis workstation and database. These consist in three. First, it is an image processing system to automatically detect suspicious bronchial regions, pulmonary artery regions, plumonary vein regions and myocardial infarction regions at high speed. Second, they are two 1600 x 1200 matrix black and white liquid crystal monitor. Third, it is a terminal of image storage. These are connected mutually on the network. This makes it much easier to read images, since the 3D image of suspicious regions and shadow of suspicious regions can be displayed simultaneously on two 1600 x 1200 matrix liquid crystal monitor. The experimental results indicate that a newly computer-aided diagnosis workstation and database system can be effectively used in clinical practice to increase the speed and accuracy of routine diagnosis.
The development of multislice helical CT scanners that can image the lungs in a short time has created interest in the use of mass screening for lung cancer. In the mass screening process, helical CT images are acquired for the entire lung area. Therefore, mass screening based on helical CT images requires a considerable number of images to be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this problem, we have developed a newly PACS for a computer-aided diagnosis (CAD) system to automatically detect suspicious regions in chest CT images that can store the huge amounts of data obtained in multi-slice CT studies and permit image comparison without films, and have developed a newly mobile CT system for CAD system. This newly developed CAD system is provided with a comparison review support function employing an automatic slice-matching algorithm that can calculate the difference in slice number between the present and past CT images. This makes it much easier to read images, since the corresponding CT slices from the present and past studies can be displayed simultaneously on the CRT monitor screen. The experimental results indicate that the CAD system can be effectively used in clinical practice to increase the speed and accuracy of routine diagnosis.
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