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Your search keyword '"Eiji Uchino"' showing total 5 results
Start Over Author "Eiji Uchino" Publisher institution of engineering and technology (iet)
5 results on '"Eiji Uchino"'

1. Tissue characterisation of coronary plaques using sparse feature vectors

Author

Eiji Uchino, Shota Furukawa, Noriaki Suetake, Takafumi Hiro, Tadahiro Azetsu, and Masunori Matsuzaki

Subjects
Acute coronary syndrome, medicine.diagnostic_test, Contextual image classification, business.industry, Feature vector, Ultrasound, Feature extraction, medicine.disease, medicine.anatomical_structure, Intravascular ultrasound, medicine, Electrical and Electronic Engineering, business, Neural coding, Biomedical engineering, Artery
Abstract

In a diagnosis of acute coronary syndrome, the tissue characterisation of coronary plaque is very important. A novel method is proposed for the tissue characterisation of coronary plaque by using a sparse coding. In the proposed method, an intravascular ultrasound backscattered radiofrequency (RF) signal is coded by the sparse coding, and the code patterns are used for the classification of a target tissue. Experiments have been performed to classify the tissues of coronary plaque into fibrous or lipid tissue by using these RF signals, which are observed from a rabbit coronary artery. The effectiveness of the proposed method has been verified by comparative studies with the conventional integrated backscatter analysis.

Published
2010

2. Fuzzy inference-based plaque boundary extraction using image separability for intravascular ultrasound image of coronary artery

Author

R. Kubota, Noriaki Suetake, Takafumi Hiro, Takanori Koga, Shohei Ichiyama, Masunori Matsuzaki, Eiji Uchino, and Genta Hashimoto

Subjects
Fuzzy inference, medicine.diagnostic_test, business.industry, education, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Boundary (topology), Edge detection, Image (mathematics), Intravascular ultrasound, medicine, Computer vision, Extraction methods, Artificial intelligence, Electrical and Electronic Engineering, business, Membership function, Mathematics
Abstract

A novel plaque boundary extraction method for an intravascular ultrasound (IVUS) image employing image separability and Takagi-Sugeno's fuzzy inference model is presented. The membership functions are allocated heuristically with special consideration of the features of the IVUS image. The method has not only improved the accuracy of plaque boundary extraction but has also reduced the workload of medical doctors.

Published
2009

3. Image enlargement based on self-produced codebook

Author

Morihiko Sakano, Noriaki Suetake, and Eiji Uchino

Subjects
Sampling (signal processing), Estimation theory, business.industry, Sampling process, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Codebook, Image processing, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business, Image (mathematics), Mathematics
Abstract

A new image enlargement method for the estimation of high frequency image components lost in the sampling process is proposed. The method uses a codebook consisting of the low- and high-frequency components of an original image itself that is to be enlarged. The effectiveness of the proposed method is verified by comparing with conventional methods.

Published
2007

4. Twin unit self-organising map for voice conversion

Author

Eiji Uchino, K. Yano, and T. Azetsu

Subjects
Engineering, Air conduction, Bone conduction, business.industry, Acoustics, Speech recognition, Electrical and Electronic Engineering, Self organising maps, business, Unit (housing)
Abstract

A self-organising map with twin unit (TW-SOM) is presented. TW-SOM enables voice conversion by fewer codebooks than the conventional LBG method, further it provides better voice conversion accuracy. The proposed method is successfully applied to the actual voice conversion from bone conduction voice to air conduction voice.

Published
2003

5. Fourier demixing filter based on statistical independence between signals

Author

Eiji Uchino, Takeshi Yamakawa, and Noriaki Suetake

Subjects
Filter (signal processing), Signal, Weighting, Noise, symbols.namesake, Filter design, Fourier transform, Harmonics, symbols, Harmonic, Electronic engineering, Electrical and Electronic Engineering, Algorithm, Mathematics
Abstract

A new filter based on the statistical independence between signals is presented. The original signal is estimated by the weighted sum of each harmonic of the observation corrupted by noise. The filter is synthesised by adjusting the weighting parameters by learning with the use of higher order moments of observation noise without any information about the dynamics of a target system.

Published
1998

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