3D ultrasound reconstruction of spinal images using an improved Olympic Hole-filling method

An Improved Olympic Hole-Filling Method for Ultrasound Volume Reconstruction of Human Spine

Emerging Communication Technologies for E-Health and Medicine ◽

10.4018/978-1-4666-0909-9.ch021 ◽

2012 ◽

pp. 259-271 ◽

Cited By ~ 1

Author(s):

D. E. O. Dewi ◽

T. L. R. Mengko ◽

I. K. E. Purnama ◽

A. G. Veldhuizen ◽

M. H. F. Wilkinson

Keyword(s):

Three Dimensional ◽

3D Ultrasound ◽

Hole Filling ◽

Filling Process ◽

Volume Reconstruction ◽

Acquisition Process ◽

Human Spine ◽

Filling Method ◽

Averaging Filter

Hole-filling in ultrasound volume reconstruction using freehand three-dimensional ultrasound estimates the values for empty voxels from the unallocated voxels in the Bin-filling process due to inadequate sampling in the acquisition process. Olympic operator, as a neighbourhood averaging filter, can be used to estimate the empty voxel. However, this method needs improvement to generate a closer estimation of the empty voxels. In this paper, the authors propose an improved Olympic operator for the Hole-filling algorithm, and apply it to generate the volume in a 3D ultrasound reconstruction of the spine. The conventional Olympic operator defines the empty voxels by sorting the neighbouring voxels, removing the n% of the upper and lower values, and averaging them to attain the value to fill the empty voxels. The empty voxel estimation can be improved by thresholding the range width of its neighbouring voxels and adjusting it to the average values. The method is tested on a hole-manipulated volume derived from a cropped 3D ultrasound volume of a part of the spine. The MAE calculation on the proposed technique shows improved result compared to all tested existing methods.

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An Improved Olympic Hole-Filling Method for Ultrasound Volume Reconstruction of Human Spine

International Journal of E-Health and Medical Communications ◽

10.4018/jehmc.2010070103 ◽

2010 ◽

Vol 1 (3) ◽

pp. 28-40 ◽

Cited By ~ 3

Author(s):

D. E. O. Dewi ◽

T. L. R. Mengko ◽

I. K. E. Purnama ◽

A. G. Veldhuizen ◽

M. H. F. Wilkinson

Keyword(s):

Three Dimensional ◽

3D Ultrasound ◽

Hole Filling ◽

Filling Process ◽

Volume Reconstruction ◽

Acquisition Process ◽

Human Spine ◽

Filling Method ◽

Averaging Filter

Hole-filling in ultrasound volume reconstruction using freehand three-dimensional ultrasound estimates the values for empty voxels from the unallocated voxels in the Bin-filling process due to inadequate sampling in the acquisition process. Olympic operator, as a neighbourhood averaging filter, can be used to estimate the empty voxel. However, this method needs improvement to generate a closer estimation of the empty voxels. In this paper, the authors propose an improved Olympic operator for the Hole-filling algorithm, and apply it to generate the volume in a 3D ultrasound reconstruction of the spine. The conventional Olympic operator defines the empty voxels by sorting the neighbouring voxels, removing the n% of the upper and lower values, and averaging them to attain the value to fill the empty voxels. The empty voxel estimation can be improved by thresholding the range width of its neighbouring voxels and adjusting it to the average values. The method is tested on a hole-manipulated volume derived from a cropped 3D ultrasound volume of a part of the spine. The MAE calculation on the proposed technique shows improved result compared to all tested existing methods.

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A Comparison of Hole-filling Methods for 3D Medical Data Reconstruction and Visualization

International Journal of Innovative Computing ◽

10.11113/ijic.v9n2.236 ◽

2019 ◽

Vol 9 (2) ◽

Author(s):

Chan Vei Siang ◽

Farhan Mohamed

Keyword(s):

Mean Absolute Error ◽

Absolute Error ◽

3D Ultrasound ◽

Medical Data ◽

Nearest Neighbour ◽

Hole Filling ◽

3D Ct Scan ◽

Filling Method ◽

Smooth Skin ◽

Voxel Data

3D medical imaging can help the physicians to understand the patient anatomy, such as 3D ultrasound and 3D CT scan. In the case of 3D ultrasound reconstruction, the pixel nearest neighbour is one of the popular methods used. The hole-filling method in pixel nearest neighbour can fill in the empty voxel data which is not captured by the ultrasound. Thus, this paper studied the various hole-filling methods in the pixel nearest neighbour method to reconstruct the missing voxels. Besides that, an alternative method is also introduced based on the modified butterfly interpolation scheme. The experiment setup is designed to test the efficiency of the hole-filling method for 3D medical data visualisation by using mean absolute error as well as qualitatively compare the visualization of the reconstruction results. The proposed method can extract smooth skin from the reconstruction volume, although it has a high average MAE result.

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