### Abstract

This paper compares the performance between temporal and subband Minimum Variance (MV) beamformers for medical ultrasound imaging. Both adaptive methods provide an optimized set of apodization weights but are implemented in the time and frequency domains respectively. Their performance is evaluated with simulated synthetic aperture data obtained from Field II and is quantified by the Full-Width-Half-Maximum (FWHM), the Peak-Side-Lobe level (PSL) and the contrast level. From a point phantom, a full sequence of 128 emissions with one transducer element transmitting and all 128 elements receiving each time, provides a FWHM of 0.03 mm (0.14Î) for both implementations at a depth of 40 mm. This value is more than 20 times lower than the one achieved by conventional beamforming. The corresponding values of PSL are-58 dB and-63 dB for time and frequency domain MV beamformers, while a value no lower than-50 dB can be obtained from either Boxcar or Hanning weights. Interestingly, a single emission with central element #64 as the transmitting aperture provides results comparable to the full sequence. The values of FWHM are 0.04 mm and 0.03 mm and those of PSL are-42 dB and-46 dB for temporal and subband approaches. From a cyst phantom and for 128 emissions, the contrast level is calculated at-54 dB and-63 dB respectively at the same depth, with the initial shape of the cyst being preserved in contrast to conventional beamforming. The difference between the two adaptive beamformers is less significant in the case of a single emission, with the contrast level being estimated at-42 dB for the time domain and-43 dB for the frequency domain implementation. For the estimation of a single MV weight of a low resolution image formed by a single emission, 0.44* 109 calculations per second are required for the temporal approach. The same numbers for the subband approach are 0.62* 109 for the point and 1.33* 109 for the cyst phantom. The comparison demonstrates similar resolution but slightly lower side-lobes and higher contrast for the subband approach at the expense of increased computation time.

Original language | English |
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Title of host publication | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |

Publisher | SPIE |

Volume | 9040 |

ISBN (Print) | 9780819498335 |

DOIs | |

Publication status | Published - 1 Jan 2014 |

Event | Medical Imaging 2014: Ultrasonic Imaging and Tomography - San Diego, CA, United Kingdom Duration: 18 Feb 2014 → 20 Feb 2014 |

### Conference

Conference | Medical Imaging 2014: Ultrasonic Imaging and Tomography |
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Country | United Kingdom |

City | San Diego, CA |

Period | 18/02/14 → 20/02/14 |

### Fingerprint

### Keywords

- adaptive beamforming
- covariance matrix
- medical ultrasound
- minimum variance

### ASJC Scopus subject areas

- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Radiology Nuclear Medicine and imaging

### Cite this

*Progress in Biomedical Optics and Imaging - Proceedings of SPIE*(Vol. 9040). [90400L] SPIE. https://doi.org/10.1117/12.2043602

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*Progress in Biomedical Optics and Imaging - Proceedings of SPIE.*vol. 9040, 90400L, SPIE, Medical Imaging 2014: Ultrasonic Imaging and Tomography, San Diego, CA, United Kingdom, 18/02/14. https://doi.org/10.1117/12.2043602

**A comparison between temporal and subband minimum variance adaptive beamforming.** / Diamantis, Konstantinos; Voxen, Iben H.; Greenaway, Alan H.; Anderson, Tom; Jensen, Jørgen A.; Sboros, Vassilis.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A comparison between temporal and subband minimum variance adaptive beamforming

AU - Diamantis, Konstantinos

AU - Voxen, Iben H.

AU - Greenaway, Alan H.

AU - Anderson, Tom

AU - Jensen, Jørgen A.

AU - Sboros, Vassilis

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This paper compares the performance between temporal and subband Minimum Variance (MV) beamformers for medical ultrasound imaging. Both adaptive methods provide an optimized set of apodization weights but are implemented in the time and frequency domains respectively. Their performance is evaluated with simulated synthetic aperture data obtained from Field II and is quantified by the Full-Width-Half-Maximum (FWHM), the Peak-Side-Lobe level (PSL) and the contrast level. From a point phantom, a full sequence of 128 emissions with one transducer element transmitting and all 128 elements receiving each time, provides a FWHM of 0.03 mm (0.14Î) for both implementations at a depth of 40 mm. This value is more than 20 times lower than the one achieved by conventional beamforming. The corresponding values of PSL are-58 dB and-63 dB for time and frequency domain MV beamformers, while a value no lower than-50 dB can be obtained from either Boxcar or Hanning weights. Interestingly, a single emission with central element #64 as the transmitting aperture provides results comparable to the full sequence. The values of FWHM are 0.04 mm and 0.03 mm and those of PSL are-42 dB and-46 dB for temporal and subband approaches. From a cyst phantom and for 128 emissions, the contrast level is calculated at-54 dB and-63 dB respectively at the same depth, with the initial shape of the cyst being preserved in contrast to conventional beamforming. The difference between the two adaptive beamformers is less significant in the case of a single emission, with the contrast level being estimated at-42 dB for the time domain and-43 dB for the frequency domain implementation. For the estimation of a single MV weight of a low resolution image formed by a single emission, 0.44* 109 calculations per second are required for the temporal approach. The same numbers for the subband approach are 0.62* 109 for the point and 1.33* 109 for the cyst phantom. The comparison demonstrates similar resolution but slightly lower side-lobes and higher contrast for the subband approach at the expense of increased computation time.

AB - This paper compares the performance between temporal and subband Minimum Variance (MV) beamformers for medical ultrasound imaging. Both adaptive methods provide an optimized set of apodization weights but are implemented in the time and frequency domains respectively. Their performance is evaluated with simulated synthetic aperture data obtained from Field II and is quantified by the Full-Width-Half-Maximum (FWHM), the Peak-Side-Lobe level (PSL) and the contrast level. From a point phantom, a full sequence of 128 emissions with one transducer element transmitting and all 128 elements receiving each time, provides a FWHM of 0.03 mm (0.14Î) for both implementations at a depth of 40 mm. This value is more than 20 times lower than the one achieved by conventional beamforming. The corresponding values of PSL are-58 dB and-63 dB for time and frequency domain MV beamformers, while a value no lower than-50 dB can be obtained from either Boxcar or Hanning weights. Interestingly, a single emission with central element #64 as the transmitting aperture provides results comparable to the full sequence. The values of FWHM are 0.04 mm and 0.03 mm and those of PSL are-42 dB and-46 dB for temporal and subband approaches. From a cyst phantom and for 128 emissions, the contrast level is calculated at-54 dB and-63 dB respectively at the same depth, with the initial shape of the cyst being preserved in contrast to conventional beamforming. The difference between the two adaptive beamformers is less significant in the case of a single emission, with the contrast level being estimated at-42 dB for the time domain and-43 dB for the frequency domain implementation. For the estimation of a single MV weight of a low resolution image formed by a single emission, 0.44* 109 calculations per second are required for the temporal approach. The same numbers for the subband approach are 0.62* 109 for the point and 1.33* 109 for the cyst phantom. The comparison demonstrates similar resolution but slightly lower side-lobes and higher contrast for the subband approach at the expense of increased computation time.

KW - adaptive beamforming

KW - covariance matrix

KW - medical ultrasound

KW - minimum variance

U2 - 10.1117/12.2043602

DO - 10.1117/12.2043602

M3 - Conference contribution

SN - 9780819498335

VL - 9040

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

PB - SPIE

ER -