Analysis of Errors in DICOM Image for Rapid Prototyping Application

THE DICOM 2013 INTERNATIONAL CONFERENCE & SEMINAR March 14-16, 2013 Bangalore, India ABSTRACT

Title of Analysis of errors in DICOM image for Rapid Prototyping Application presentation:

Author(s) Manmadhachary.A, Y.Ravikumar, L.Krishnanand name(s):

Author(s) Research scholar, Assistant Professor, Professor title(s)

Affiliation National Institute of Technology, Warangal (Company or organization)

Postal address National Institute of Technology, Warangal

Department of Mechanical Engineering,

Warangal, Andhra Pradesh , 506004

E-mail address [email protected], [email protected], [email protected]

Telephone: 9885660279

Preferred ___ Oral presentation or poster _X__ Oral only ___ Poster only format: Abstract: (200- CT and MRI image file are mostly saved in DICOM file format. DICOM is the 750 words, in standard storage file format of medical images. These files are used to create medical English) models by using Rapid prototyping techniques. While developing a medical model dimensional errors may be occurred due to errors in the DICOM images. This work describes various errors in DICOM image such as partial volume effect and Dumb- bell effect. Partial volume effect arises due to matrix size, pixel size, field of view (FOV), voxel size, slice thickness, focal spot size, and blur. Similarly Dumb-bell effect is occurred when applying thresholding (Hounsfield unit [HU]) values during CT scanning and during 3D model calculations by using software. In this work the variations in dimensions such as matrix size, pixel size, field of view (FOV), voxel size, slice thickness and slice increment are evaluated mathematically. Dumb-bell effect is explained through MIMICS software by implementing various thresholding values in CT scanning and 3D model calculations. For CT scanning to reduce the Partial volume effect, the values are considered as matrix size 512×512, pixel size being 0.463mm × 0.463 mm, voxel size 0.463mm × 0.463mm × 0.6 mm slice thickness is 0.6mm and slice increment is 0.6 mm. similarly to reduce the Dumb-bell effect, the thresholding value for bone tissue 1000 HU, in MIMICS software 226 HU are selected. In this study, it is observed that a dimensional error ±0.4 mm is occurred by comparing human anatomy and 3D model generated in MIMICS software by using DICOM images.

Analysis of errors in DICOM image for Rapid Prototyping Application Manmadhachary.A, Ravikumar.Y, Krishnanand.L Department of Mechanical Engineering National Institute of Technology, Warangal Andhra Pradesh, INDIA Authors e-mail: [email protected], [email protected], [email protected]

Introduction: CT and MRI image file are mostly saved in DICOM file format. DICOM is the standard storage file format of medical images. These files are used to create medical models by using Rapid prototyping techniques. While developing a medical model dimensional errors may be occurred due to errors in the DICOM images. Purpose: This paper describes various errors in DICOM image such as partial volume effect and Dumb- bell effect. Partial volume effect arises due to matrix size, pixel size, field of view (FOV), voxel size, slice thickness, focal spot size, and blur. Similarly Dumb-bell effect is occurred when applying thresholding (Hounsfield unit [HU]) values during CT scanning and during 3D model calculations by using software. Material and Methods: In this paper the variations in dimensions such as matrix size, pixel size, field of view (FOV), voxel size, slice thickness and slice increment are evaluated mathematically. Dumb-bell effect is explained through MIMICS software by implementing various thresholding values in CT scanning and 3D model calculations. Results: For CT scanning to reduce the Partial volume effect, the values are considered as matrix size 512×512, pixel size being 0.463mm × 0.463 mm, voxel size 0.463mm × 0.463mm × 0.6 mm slice thickness is 0.6mm and slice increment is 0.6 mm. similarly to reduce the Dumb-bell effect, the thresholding value for bone tissue 1000 HU, in MIMICS software 226 HU are selected. Conclusion: In this study, it is observed that a dimensional error ±0.4 mm is occurred by comparing human anatomy and 3D model generated in MIMICS software by using DICOM images.