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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: 76   Since Aug. 28, 2015 Views: 1828   Since Aug. 28, 2015
Rahul Manohar Sherekar, Department of Mechanical Engineering, Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, Pin- 445001, (M. S), India.
Anand Pawar, Department of Mechanical Engineering, Government Polytechnic, Amravati (M. S), India.
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.
Matlab Image Processing, DICOM, Invesalius, Rapid Prototyping
Pianykh O.S.: Digital Imaging and Communications in Medicine (DICOM). Springer-Verlag Berlin Heidelberg New York, 2012.
William J. Schroeder,Kenneth M. Martin, William E. Lorensen. (2002) The Design and implementation Of An Object-Oriented Toolkit For 3D Graphics And Visualization
Yoo T. S.: Insight Into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. A K Peters, Wellesley, Massachusetts, 2004.
Cerini R, Faccioli N, Barillari M, De Iorio M, Carner M, Colletti V. Bionic ear imaging. Radiol Med. 2005;113:265–77.
Rao ND, Gulati MS, Paul SB, Pande GK, Sahni P, Chattopadhyay TK. Three-dimensional helical computed tomography cholangiography with minimum intensity projection in gallbladder carcinoma patients with obstructive jaundice: comparison with magnetic resonance cholangiography and percutaneous transhepatic cholangiography. J Gastroenterol Hepatol. 2005;20:304–8.
Peloschek P, Sailer J, Weber M, Herold CJ, Prokop M, Schaefer-Prokop C. Pulmonary nodules: sensitivity of maximum intensity projection versus that of volume rendering of 3D multidetector CT data. Radiology. 2007;243:561–9.
Salvolini L, Bichi Secchi E, Costarelli L, De Nicola M. Clinical applications of 2D and 3D CT imaging of the airways: a review. Eur J Radiol. 2000;34:9–25.
Fox LA, Vannier MW, West OC, Wilson AJ, Baran GA, Pilgram TK. Diagnostic performance of CT, MPR and 3DCT imaging in maxillofacial trauma. Comput Med Imaging Graph. 1995;19:385–95.
Nghiem HV, Dimas CT, McVicar JP, Perkins JD, Luna JA, Winter TC, 3rd, et al. Impact of double helical CT and three-dimensional CT arteriography on surgical planning for hepatic transplantation. Abdom Imaging. 1999;24:278–84.
Fotheringham T, Chabat F, Hansell DM, Wells AU, Desai SR, Gückel C, et al. A comparison of methods for enhancing the detection of areas of decreased attenuation on CT caused by airways disease. J Comput Assist Tomogr. 1999;23:385–9.
G.Scott Owen, HyperVis. ACM SIGGRAPH Education Committee, the National Science Foundation (DUE-9752398), and the Hypermedia and Visualization Laboratory, Georgia State University.
Jolesz FA, Lorensen WE, Shinmoto H, Atsumi H, Nakajima S, Kavanaugh P, et al. Interactive virtual endoscopy. AJR Am J Roentgenol. 1997;169:1229–35.
Sajjad Z, Oxtoby J, West D, Deakin M. Biliary imaging by spiral CT cholangiography: a retrospective analysis. Br J Radiol. 1999;72:149–52.
Sun Z. 3D multislice CT angiography in post-aortic stent grafting: a pictorial essay. Korean J Radiol. 2006;7:205–11.
Nino-Murcia M, Jeffrey RB, Jr, Beaulieu CF, Li KC, Rubin GD. Multidetector CT of the pancreas and bile duct system: value of curved planar reformations. AJR Am J Roentgenol. 2001;176:689–93.
Abildgaard A, Karlsen JS, Heiberg L, Bosse G, Hol PK. Improved visualization of artificial pulmonary nodules with a new subvolume rendering technique. Acta Radiol. 2008;49:761–8.
Diederich S, Lentschig MG, Overbeck TR, Wormanns D, Heindel W. Detection of pulmonary nodules at spiral CT: comparison of maximum intensity projection sliding slabs and single-image reporting. Eur Radiol. 2001;11:1345–50.
Lee DH, Ko YT. The role of three-dimensional and axial imaging in advanced gastric carcinoma by spiral CT. Abdom Imaging. 1999;24:111–6.
Pretorius ES, Fishman EK. Spiral CT and threedimensional CT of musculoskeletal pathology. Radiol Clin North Am. 1999;37:953–74.
Calhoun PS, Kuszyk BS, Heath DG, Carley JC, Fishman EK. Three-dimensional volume rendering of spiral CT data: theory and method. Radiographics. 1999;19:745–64.
Li AE, Fishman EK. Cervical spine trauma: evaluation by multidetector CT and three-dimensional volume rendering. Emerg Radiol. 2003;10:34–9.
Kinami S, Yao T, Kurachi M, Ishizaki Y. Clinical evaluation of 3D-CT cholangiography for preoperative examination in laparoscopic cholecystectomy. J Gastroenterol. 1999;34:111–8.
Galantucci LM, Percoco G, Angelelli G, Lopez C, Introna F, LiuzziC, De Donno A (2006) Reverse engineering techniques applied to ahuman skull, for CAD 3D reconstruction and physical replication by rapid prototyping. J Med Eng Technol 30(2):102–111.
Webb PA(2000)Areviewof rapid prototyping (RP) techniques in the medical and biomedical sector. J Med Eng Technol 24(4):149–153.
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