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A MATLAB Image Processing Approach for Reconstruction of DICOM Images for Manufacturing of Customized Anatomical Implants by Using Rapid Prototyping
Current Issue
Volume 1, 2014
Issue 5 (September)
Pages: 48-53   |   Vol. 1, No. 5, September 2014   |   Follow on         
Paper in PDF Downloads: 77   Since Aug. 28, 2015 Views: 2010   Since Aug. 28, 2015
Authors
[1]
Rahul Manohar Sherekar, Department of Mechanical Engineering, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, Pin- 445001, (M. S), India.
[2]
Anand Pawar, Department of Mechanical Engineering, Government Polytechnic, Amravati (M. S), India.
Abstract
The paper deals with the DICOM images reconstruction which is initially very useful for production of customized anatomical implants by using rapid prototyping technology. The researchers are always focusing on biomedical 3Dimaging reformation. The mat lab image processing has been strongly developed and almost implemented in every modern thomographical modalities. The CT slices of interested region of customized implant in DICOM format are initially pre processed using developed MATLAB code. In the next step the images are imported in Invesalius. It is a open source medical software used to reconstruct structures of the human body. Based on two-dimensional images, acquired using CT or MRI images. This software generates three-dimensional models corresponding to anatomical parts of the human body. After reconstructing three-dimensionally DICOM images, the software allows the generation of STL files. These files can be further used for Rapid Prototyping. This project in biomechanical area has been developed to provide the facility in very cheap expense with highest technological support comparatively with expensive imported facilities and software. This paper shows first step results of discussed project of implementing fundamental problems in DICOM medical image reconstruction for medical imaging and designing a preprocessing noise removing software for reconstructing DICOM image from a set of CT/MRI images using MATLAB image processing tool & RP.
Keywords
Matlab Image Processing, DICOM, Invesalius, Rapid Prototyping
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