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Three-dimensional medical ultrasound...

Xiang, Shao Hua.

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Three-dimensional medical ultrasound image reconstruction using noise reduction and data compression.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Three-dimensional medical ultrasound image reconstruction using noise reduction and data compression./
作者:	Xiang, Shao Hua.
面頁冊數:	248 p.
附註:	Source: Dissertation Abstracts International, Volume: 59-11, Section: B, page: 6009.
Contained By:	Dissertation Abstracts International59-11B.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9913203
ISBN:	9780599117846

Three-dimensional medical ultrasound image reconstruction using noise reduction and data compression.
Xiang, Shao Hua.

Three-dimensional medical ultrasound image reconstruction using noise reduction and data compression. - 248 p.

Source: Dissertation Abstracts International, Volume: 59-11, Section: B, page: 6009.

Thesis (Ph.D.)--The Chinese University of Hong Kong (People's Republic of China), 1998.

For both 1D and 2D ultrasound noise reduction, theoretical analysis with experimental results proved that there exists an optimal threshold in wavelet domain for SNR maximization. Simulation results present that SNR improvement of 6.3dB can be achieved for 1D noise reduction. It translates 6cm detectable range improvement for both 1D and 2D transducers. In comparison with conventional adaptive speckle reduction scheme, our technique can increase PSNR of 5dB with the advantage of preserving most important image features, which is important for 3D image reconstruction.

ISBN: 9780599117846Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Three-dimensional medical ultrasound image reconstruction using noise reduction and data compression.
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100 1 $a Xiang, Shao Hua. $3 1297232
245 1 0 $a Three-dimensional medical ultrasound image reconstruction using noise reduction and data compression.
300 $a 248 p.
500 $a Source: Dissertation Abstracts International, Volume: 59-11, Section: B, page: 6009.
500 $a Supervisor: Yuan-ting Zhang.
502 $a Thesis (Ph.D.)--The Chinese University of Hong Kong (People's Republic of China), 1998.
520 $a For both 1D and 2D ultrasound noise reduction, theoretical analysis with experimental results proved that there exists an optimal threshold in wavelet domain for SNR maximization. Simulation results present that SNR improvement of 6.3dB can be achieved for 1D noise reduction. It translates 6cm detectable range improvement for both 1D and 2D transducers. In comparison with conventional adaptive speckle reduction scheme, our technique can increase PSNR of 5dB with the advantage of preserving most important image features, which is important for 3D image reconstruction.
520 $a Both 3D imaging and 2D data transmission have the difficulty of managing huge data set from 32Mbits to 150Mbits. Multi-resolution decomposition can reorganize images in diagonal, horizontal and vertical directions. Statistical analysis shows that the vertical coefficients on each level carry the most significant features for ultrasound images. Therefore, both nonlinear optimal thresholding and VQ technique can be utilized to these components for achieving both high compression ratio (72:1) and noise reduction results.
520 $a In order to improve homogeneity between tissues and transducers, design procedures of matching layers for back, medium and front materials have been presented. Theoretical analysis presented that the thickness of the layer should be multiples of 0.036mm to 0.11mm, considering that the conventional frequency region is from 3.5Mhz to 10Mhz. And the impedance of it should be from 1.58x106kg/m2sec to 30x106kg/m2sec .
520 $a Data acquisition rates are limited by the speed of sound in human body. A new approach for increasing frame rates has been proposed. This rate can be improved M times when applying M - beam multi-ultrasound transmission lines. To increase the resolution in elevation of 3D system, a beam focusing and scanning technique has been shown with the advantage of decreasing slice thickness.
520 $a Distinct features of 3D Ping-Pang ball from a sequence of 60 slices with 256 * 256 * 8 has been successfully obtained by applying our schemes. To implement these approaches in real tissues, a sequence of 64 slices with 400 * 300 * 8 for Inferior Vena-Cava and Hepatic Veins images has been used for 3D reconstruction. The computational cost has decreased more than 30 times.
590 $a School code: 1307.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Health Sciences, Radiology. $3 1019076
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710 2 0 $a The Chinese University of Hong Kong (People's Republic of China). $3 1265600
773 0 $t Dissertation Abstracts International $g 59-11B.
790 $a 1307
790 1 0 $a Zhang, Yuan-ting, $e advisor
791 $a Ph.D.
792 $a 1998
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