Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance
Since the sound velocity for medical ultrasound imaging is usually set at 1540 m/s, the ultrasound imaging of a patient with a thick layer of subcutaneous fat is degraded due to variations in the sound velocity. This study proposes a method of compensating for image degradation to correct beamformin...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/8/11/2133 |
| _version_ | 1811238437783601152 |
|---|---|
| author | Ken Inagaki Shimpei Arai Kengo Namekawa Iwaki Akiyama |
| author_facet | Ken Inagaki Shimpei Arai Kengo Namekawa Iwaki Akiyama |
| author_sort | Ken Inagaki |
| collection | DOAJ |
| description | Since the sound velocity for medical ultrasound imaging is usually set at 1540 m/s, the ultrasound imaging of a patient with a thick layer of subcutaneous fat is degraded due to variations in the sound velocity. This study proposes a method of compensating for image degradation to correct beamforming. This method uses the sound velocity distribution measured in simultaneous ultrasound (US) and magnetic resonance (MR) imaging. Experiments involving simultaneous imaging of an abdominal phantom and a human neck were conducted to evaluate the feasibility of the proposed method using ultrasound imaging equipment and a 1.5 T MRI scanner. MR-visible fiducial markers were attached to an ultrasound probe that was developed for use in an MRI gantry. The sound velocity distribution was calculated based on the MRI cross section, which was estimated as a corresponding cross section of US imaging using the location of fiducial markers in MRI coordinates. The results of the abdominal phantom and neck imaging indicated that the estimated values of sound velocity distribution allowed beamform correction that yielded compensated images. The feasibility of the proposed method was then evaluated in terms of quantitative improvements in the spatial resolution and signal-to-noise ratio. |
| first_indexed | 2024-04-12T12:41:33Z |
| format | Article |
| id | doaj.art-6872a66af082415a9003e9346986397f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-12T12:41:33Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6872a66af082415a9003e9346986397f2022-12-22T03:32:45ZengMDPI AGApplied Sciences2076-34172018-11-01811213310.3390/app8112133app8112133Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic ResonanceKen Inagaki0Shimpei Arai1Kengo Namekawa2Iwaki Akiyama3Medical Ultrasound Research Center, Doshisha University, Kyotanabe Kyoto 610-0321, JapanMedical Ultrasound Research Center, Doshisha University, Kyotanabe Kyoto 610-0321, JapanMedical Ultrasound Research Center, Doshisha University, Kyotanabe Kyoto 610-0321, JapanMedical Ultrasound Research Center, Doshisha University, Kyotanabe Kyoto 610-0321, JapanSince the sound velocity for medical ultrasound imaging is usually set at 1540 m/s, the ultrasound imaging of a patient with a thick layer of subcutaneous fat is degraded due to variations in the sound velocity. This study proposes a method of compensating for image degradation to correct beamforming. This method uses the sound velocity distribution measured in simultaneous ultrasound (US) and magnetic resonance (MR) imaging. Experiments involving simultaneous imaging of an abdominal phantom and a human neck were conducted to evaluate the feasibility of the proposed method using ultrasound imaging equipment and a 1.5 T MRI scanner. MR-visible fiducial markers were attached to an ultrasound probe that was developed for use in an MRI gantry. The sound velocity distribution was calculated based on the MRI cross section, which was estimated as a corresponding cross section of US imaging using the location of fiducial markers in MRI coordinates. The results of the abdominal phantom and neck imaging indicated that the estimated values of sound velocity distribution allowed beamform correction that yielded compensated images. The feasibility of the proposed method was then evaluated in terms of quantitative improvements in the spatial resolution and signal-to-noise ratio.https://www.mdpi.com/2076-3417/8/11/2133beamformingMRIMR-visible fiducial markersubcutaneous fat layerthyroid imagingspatial resolutionsignal-to-noise ratio (SNR)1-3 piezocomposite material |
| spellingShingle | Ken Inagaki Shimpei Arai Kengo Namekawa Iwaki Akiyama Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance Applied Sciences beamforming MRI MR-visible fiducial marker subcutaneous fat layer thyroid imaging spatial resolution signal-to-noise ratio (SNR) 1-3 piezocomposite material |
| title | Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance |
| title_full | Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance |
| title_fullStr | Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance |
| title_full_unstemmed | Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance |
| title_short | Sound Velocity Estimation and Beamform Correction by Simultaneous Multimodality Imaging with Ultrasound and Magnetic Resonance |
| title_sort | sound velocity estimation and beamform correction by simultaneous multimodality imaging with ultrasound and magnetic resonance |
| topic | beamforming MRI MR-visible fiducial marker subcutaneous fat layer thyroid imaging spatial resolution signal-to-noise ratio (SNR) 1-3 piezocomposite material |
| url | https://www.mdpi.com/2076-3417/8/11/2133 |
| work_keys_str_mv | AT keninagaki soundvelocityestimationandbeamformcorrectionbysimultaneousmultimodalityimagingwithultrasoundandmagneticresonance AT shimpeiarai soundvelocityestimationandbeamformcorrectionbysimultaneousmultimodalityimagingwithultrasoundandmagneticresonance AT kengonamekawa soundvelocityestimationandbeamformcorrectionbysimultaneousmultimodalityimagingwithultrasoundandmagneticresonance AT iwakiakiyama soundvelocityestimationandbeamformcorrectionbysimultaneousmultimodalityimagingwithultrasoundandmagneticresonance |