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1.
Biomed Tech (Berl) ; 49(1-2): 6-10, 2004.
Article in German | MEDLINE | ID: mdl-15032491

ABSTRACT

Digital images generated by medical imaging form the basis for radiological diagnosis and surgical planning. Despite the advent of the DICOM 3.0 standard for medical image communication, widespread application of the existing information is often limited by incompatibility of the data formatting used by different equipment generations, and the manufacturer-specific standards employed. An exchange interface based on magneto optical discs has been developed to retrieve and present medical image data regardless of the technological hardware and the specific formats used. Specially adapted routines to retrieve the data first had to be developed. A modular program structure was used to allow flexibility in the implementation of further routines and other exchange media. Over 20,000 CT and MRI images including header information obtained from different General Electric and Siemens scanners were extracted successfully from MO discs. The image data were used for follow up and surgical planning and were transferred to a PAC-server. The interface proved reliable and easy to use. Support for further proprietary formats is currently being developed. The present exchange interface permits reliable retrieval of digital images for diagnostic and surgical planning purposes, regardless of the hardware generation and manufacturer-specific formats.


Subject(s)
Magnetic Resonance Imaging/instrumentation , Optical Storage Devices , Radiographic Image Enhancement/instrumentation , Radiology Information Systems/instrumentation , Tomography, X-Ray Computed/instrumentation , User-Computer Interface , Computers , Humans , Magnetics , Software
2.
Biomed Tech (Berl) ; 48(11): 312-8, 2003 Nov.
Article in German | MEDLINE | ID: mdl-14661535

ABSTRACT

Segmented 3-D data of the spine form the basis for various modern clinical applications. Among these, multisegmental image fusion, image registration and finite element modeling for biomechanical analysis are promising innovative tools capable of facilitating treatment decisions and optimization of individual therapy in the future. However, the complex anatomy of the spine and the often extensive degenerative deformation presenting in clinical practice, generally limit the application of fully automated segmentation. A newly developed software system is presented that meets the complex requirements for image segmentation of the spine through the use of specially adapted interactive tools that take account of its axial skeletal structure. Furthermore, a standardized protocol is introduced that combines the newly developed interactive tools (rotation transformation, warped dissection plane) and standard segmentation tools to permit rapid and accurate segmentation. To date, the software environment presented herein has been applied with success to the segmentation of cervical, thoracic and lumbar spine.


Subject(s)
Algorithms , Anatomy, Cross-Sectional/methods , Image Interpretation, Computer-Assisted/methods , Imaging, Three-Dimensional/methods , Software , Spine/anatomy & histology , Spine/diagnostic imaging , Subtraction Technique , Humans , Magnetic Resonance Imaging/methods , Tomography, X-Ray Computed/methods
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