Standardisation in medical image management

Brown, Ngiare; Britton, K. E.; Plummer, Dianne

doi:10.1016/s1386-5056(97)00129-9

Cited by 5 publications

(4 citation statements)

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“…Web-based medical education could provide practicing health professionals with convenient and costeffective tools for continuing education [30]. Medical courses can be envisaged in a blended instructional environment, both synchronous and asynchronous, with a tutor who guides the learners through an educational application, responds to emerging queries, initiates discussion on the illustrative topics, and supervises student self-evaluation [19]. This educational approach complies with the general opinion of our department and the evaluating group of our project.…”

Section: Resultsmentioning

confidence: 86%

“…The educational platform has been designed to include the following features: (1) the basic concepts of the Digital Imaging and Communications in Medicine (DICOM) protocol [19] for storing and transferring medical images, (2) the principles of acquiring projections forming the sinogram of an imaged object, (3) the principles of reconstructing tomographic images from their projections using either the filtered back projection (FBP) or iterative reconstruction (IR) methods [20,21], and (4) image processing using (a) the information from the corresponding intensity histogram and (b) a number of filters applied in the spatial or frequency domains [11]. A number of options were provided for assisting users in the understanding of the parameters that affect medical image quality, quantified using the modulation transfer function (MTF) [23].…”

Section: Design Considerationsmentioning

confidence: 99%

“…The basic tags (e.g., characteristics of imaging system, pixel size, etc.) [19], included in the header of the image file, are presented. For a better understanding of these concepts, the Web portal provides a simultaneous viewing of the selected image, the numerical values of the image pixels in a matrix, and a graph of the image histogram as well as information from the image metadata.…”

Section: Interacting With the Online Applicationmentioning

confidence: 99%

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A Web Simulation of Medical Image Reconstruction and Processing as an Educational Tool

et al. 2014

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Web educational resources integrating interactive simulation tools provide students with an in-depth understanding of the medical imaging process. The aim of this work was the development of a purely Web-based, open access, interactive application, as an ancillary learning tool in graduate and postgraduate medical imaging education, including a systematic evaluation of learning effectiveness. The pedagogic content of the educational Web portal was designed to cover the basic concepts of medical imaging reconstruction and processing, through the use of active learning and motivation, including learning simulations that closely resemble actual tomographic imaging systems. The user can implement image reconstruction and processing algorithms under a single user interface and manipulate various factors to understand the impact on image appearance. A questionnaire for pre-and post-training self-assessment was developed and integrated in the online application. The developed Web-based educational application introduces the trainee in the basic concepts of imaging through textual and graphical information and proceeds with a learning-by-doing approach. Trainees are encouraged to participate in a pre-and post-training questionnaire to assess their knowledge gain. An initial feedback from a group of graduate medical students showed that the developed course was considered as effective and well structured. An e-learning application on medical imaging integrating interactive simulation tools was developed and assessed in our institution.

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Section: Resultsmentioning

confidence: 86%

Section: Design Considerationsmentioning

confidence: 99%

Section: Interacting With the Online Applicationmentioning

confidence: 99%

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A Web Simulation of Medical Image Reconstruction and Processing as an Educational Tool

et al. 2014

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“…Although many formats are called DICOM-3, each vendor has implemented specific extensions to the standard, which form obstacles to the seamless interchange of images. 18 In its current form, DICOM-3 does not provide support for multi-dimensional images, addressing these only as groups of slices, 19 or storing a color reconstructed image as a "screen dump." There are active efforts underway to develop three dimensional image support as an extension to DICOM-3.…”

Section: File Formatsmentioning

confidence: 99%

<title>Software components for medical image visualization and surgical planning</title>

et al. 2001

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Purpose:The development of new applications in medical image visualization and surgical planning requires the completion of many common tasks such as image reading and re-sampling, segmentation, volume rendering, and surface display. Intra-operative use requires an interface to a tracking system and image registration, and the application requires basic, easy to understand user interface components. Rapid changes in computer and end-application hardware , as well as in operating systems and network environments make it desirable to have a hardware and operating system as an independent collection of reusable software components that can be assembled rapidly to prototype new applications. Methods:Using the OpenGL based Visualization Toolkit as a base, we have developed a set of components that implement the above mentioned tasks. The components are written in both C++ and Python, but all are accessible from Python, a byte compiled "scripting language." The components have been used on the Red Hat Linux, Silicon Graphics Irix, Microsoft Windows, and Apple OS X platforms. Rigorous object-oriented software design methods have been applied to ensure hardware independence and a standard application programming interface (API). The re are components to acquire, display, and register images from MRI, MRA, CT, Computed Rotational Angiography (CRA), Digital Subtraction Angiography (DSA), 2D and 3D ultrasound, video and physiological recordings. Interfaces to various tracking systems for intra-operative use have also been implemented. Results:The described components have been implemented and tested. To date they have been used to create image manipulation and viewing tools, a deep brain functional atlas, a 3D ultrasound acquisition and display platform, a prototype minimally invasive robotic coronary artery bypass graft planning system, a tracked neuro-endoscope guidance system and a frame-based stereotaxy neurosurgery planning tool. The frame-based stereotaxy module has been licensed and certified for use in a commercial image guidance system. Conclusions:It is feasible to encapsulate image manipulation and surgical guidance tasks in individual, reusable software modules. These modules allow for faster development of new applications. The strict application of object oriented software design methods allows individual components of such a system to make the transition from the research environment to a commercial one.

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Standardization of the Endoscopic Report

Delvaux¹

2003

Colonoscopy

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Standardisation in medical image management

Cited by 5 publications

References 1 publication

A Web Simulation of Medical Image Reconstruction and Processing as an Educational Tool

A Web Simulation of Medical Image Reconstruction and Processing as an Educational Tool

<title>Software components for medical image visualization and surgical planning</title>

Standardization of the Endoscopic Report

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