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Objective To explore the standard and methods for the calibration of the medical image monitor,and to execute its quality detection.Methods The related standards and concepts of medical image monitor were analyzed,and the grayscale standard display function (GSDF) defined by DICOM was discussed.Calibration of medical image monitor was implemented with the 14th part of DICOM standard on medical image display and DICOM GSDF standard function.Results It's pointed out that lookup table and brillmeter were indispensible for DICOM GSDF calibration of medical image monitor.The calibration modes included the ones of manual,automatic and network.Conclusion Medical image monitor has to undergo calibration and quality control conventionally,and DICOM GSDF calibration should be executed before its clinical application.
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Objective:To design a software to read and display CT and RT structure and draw a new contour without treatment planning system (TPS).Methods: In order to display the contour information drawn by doctors, the first step was to match CT images and RT structure then the same screen rendering of CT and RT structures could be applied. In order to add contour in RT structure obtaining the coordinates interactively, connecting coordinate points were the essential steps. Then a unique identity was given in the area of that contour to ensure its unique results. Results: The software successfully read and displayed CT and RT structures and drew a new contour without TPS.Conclusion: In this study, the software establishes a basis to improve the precision of the radiotherapy dose.
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OBJECTIVES: The ability to support healthcare document sharing is imperative in a health information exchange (HIE). Sharing imaging documents or images, however, can be challenging, especially when they are stored in a picture archiving and communication system (PACS) archive that does not support document sharing via standard HIE protocols. This research proposes a standard-compliant imaging gateway that enables connectivity between a legacy PACS and the entire HIE. METHODS: Investigation of the PACS solutions used at Gil Hospital was conducted. An imaging gateway application was then developed using a Java technology stack. Imaging document sharing capability enabled by the gateway was tested by integrating it into Gil Hospital's order communication system and its HIE infrastructure. RESULTS: The gateway can acquire radiology images from a PACS storage system, provide and register the images to Gil Hospital's HIE for document sharing purposes, and make the images retrievable by a cross-enterprise document sharing document viewer. CONCLUSIONS: Development of an imaging gateway that mediates communication between a PACS and an HIE can be considered a viable option when the PACS does not support the standard protocol for cross-enterprise document sharing for imaging. Furthermore, the availability of common HIE standards expedites the development and integration of the imaging gateway with an HIE.
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Archives , Delivery of Health Care , IndonesiaABSTRACT
Digital Imaging and Communications in Medicine (DICOM) is the international standard for medical images and related information (ISO 12052). It defines the formats for medical imaging that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in almost every radiology, cardiology imaging, and radiotherapy device (X-ray, CT, MRI, ultrasound, etc.), PET devices data transferring, and increasingly in devices in other medical domains such as ophthalmology and dentistry. During the procurement plan process of imaging equipment, not only the hardware technology needs to be planed, but also the invisible software part needs to be detail planed, the DICOM technology is always easily ignored or not decrypted inaccurately. This article is to elaborate the basic application of the DICOM standard and introduce the most common DICOM interfaces and their functions in equipment procurement. These interfaces include imaging equipment procurement such as CT, MR, US, PET.
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Objective To provide an automatical method for quality assurance (QA) of magnetic resonance imaging. Methods Digital imaging and communications in medicine (DICOM) protocol was used to control the process of QA calculation and storage;the region of interest was auto delineated by process. Results The parameters of stability calculated by process reflected the equipment states in a certain extent and avoided the subjectivity which referring to the region of interest. Conclusion Automatical QA method brings the convenience to QA work on aspects of acquiring, analysis and data saving.
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PURPOSE: We wanted to evaluate an acceptable compression rate of JPEG2000 for long term archiving of CT and MR images in PACS. MATERIALS AND METHODS: Nine CT images and 9 MR images that had small or minimal lesions were randomly selected from the PACS at our institute. All the images are compressed with rates of 5:1, 10:1, 20:1, 40:1 and 80:1 by the JPEG2000 compression protocol. Pairs of original and compressed images were compared by 9 radiologists who were working independently. We designed a JPEG2000 viewing program for comparing two images on one monitor system for performing easy and quick evaluation. All the observers performed the comparison study twice on 5 mega pixel grey scale LCD monitors and 2 mega pixel color LCD monitors, rspectively. The PSNR (Peak Signal to Noise Ratio) values were calculated for making quantitative comparisons. RESULTS: On MR and CT, all the images with 5:1 compression images showed no difference from the original images by all 9 observers and only one observer could detect a image difference on one CT image for 10:1 compression on only the 5 mega pixel monitor. For the 20:1 compression rate, clinically significant image deterioration was found in 50% of the images on the 5M pixel monitor study, and in 30% of the images on the 2M pixel monitor. PSNR values larger than 44 dB were calculated for all the compressed images. CONCLUSION: The clinically acceptable image compression rate for long term archiving by the JPEG2000 compression protocol is 10:1 for MR and CT, and if this is applied to PACS, it would reduce the cost and responsibility of the system.