Super resolution ultrasound image filtering with machine learning to reduce the localization error
Conference paper
Harput, S., Fong, L.H., Stanziola, A., Zhang, G., Toulemonde, M., Zhou, J., Christensen-Jeffries, K., Brown, J., Eckersley, R., Grisan, E., Dunsby, C. and Tang, M. (2019). Super resolution ultrasound image filtering with machine learning to reduce the localization error. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).
| Authors | Harput, S., Fong, L.H., Stanziola, A., Zhang, G., Toulemonde, M., Zhou, J., Christensen-Jeffries, K., Brown, J., Eckersley, R., Grisan, E., Dunsby, C. and Tang, M. |
|---|---|
| Type | Conference paper |
| Abstract | Localization-based super-resolution imaging re-quires accurate detection of spatially isolated microbubbles. The reason for this requirement is that interfering or overlapping signals resulting from multiple microbubbles within the resolu-tion limit can cause position errors. In addition to this, noise and artefacts (e.g. residual tissue signal after tissue-microbubble separation) further reduce the quality and hence the spatial resolution in SR imaging. Therefore, correctly identifying the echoes as noise, single microbubble, multiple microbubbles, or artefact is important. In this study, we are demonstrating the use of fast classification methods for identification and rejection of non-single microbubble echoes. |
| Year | 2019 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Accepted author manuscript | License File Access Level Open |
| Publication dates | |
| 06 Oct 2019 | |
| Publication process dates | |
| Accepted | 14 Jun 2019 |
| Deposited | 29 Oct 2019 |
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| License: CC BY 4.0 | ||
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Zhang, G, Weinberg, P, Dunsby, C, Tang, MX, Harput, S, Toulemonde, M, Broughton-Venner, J, Zhu, J, Riemer, K, Christensen-Jeffries, K, Brown, J and Eckersley, RJ (2019). Acoustic Wave Sparsely-Activated Localization Microscopy (AWSALM): In Vivo Fast Ultrasound Super-Resolution Imaging using Nanodroplets. 2019 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2019.8926069Activation and 3D Imaging of Phase-change Nanodroplet Contrast Agents with a 2D Ultrasound Probe
Harput, S, Zhang, G, Toulemonde, M, Zhu, J, Christensen-Jeffries, K, Brown, J, Eckersley, RJ, Dunsby, C and Tang, MX (2019). Activation and 3D Imaging of Phase-change Nanodroplet Contrast Agents with a 2D Ultrasound Probe. 2019 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2019.8925892In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy
Ghatwary, N, Ahmed, A, Grisan, E, Jalab, H, Bidaut, L and Ye, X (2019). In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy. J Med Imaging (Bellingham). 6 (1). https://doi.org/https://www.doi.org/10.1117/1.JMI.6.1.014502Real-time diameter of the fetal aorta from ultrasound
Savioli, Nicolò, Grisan, Enrico, Visentin, Silvia, Cosmi, Erich, Montana, Giovanni and Lamata, Pablo (2019). Real-time diameter of the fetal aorta from ultrasound. Neural Computing and Applications. https://doi.org/10.1007/s00521-019-04646-3Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification?
Rafailidis, V., Chryssogonidis, I., Grisan, E., Xerras, C., Cheimariotis, G-A., Tegos, T., Rafailidis, D., Sidhu, P. and Charitanti-Kouridou, A. (2019). Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification? Journal of Ultrasound in Medicine. 38 (12), pp. 3163-3171. https://doi.org/10.1002/jum.15017An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography
Rafailidis, V., Chryssogonidis, I., Xerras, C., Grisan, E., Cheimariotis, G-A., Tegos, T., Rafailidis, P.S., Sidhu, P.S. and Charitanti-Kouridou, A. (2019). An ultrasonographic multiparametric carotid plaque risk index associated with cerebrovascular symptomatology: A study comparing color Doppler imaging and contrast-enhanced ultrasonography. American Journal of Neuroradiology. 40 (6), pp. 1022-1028. https://doi.org/10.3174/ajnr.A6056The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts
Peruffo, A., Corain, L., Bombardi, C., Centelleghe, C., Grisan, E., Graïc, J-M, Bontempi, P., Grandis, A. and Cozzi, B. (2019). The motor cortex of the sheep: laminar organization, projections and diffusion tensor imaging of the intracranial pyramidal and extrapyramidal tracts. Brain Structure and Function. 224 (5), pp. 1933-1946. https://doi.org/10.1007/s00429-019-01885-xBuilding a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions
Favaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E. (2019). Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions. 2019 IEEE 16th International Symposium on Biomedical Imaging. Venice, Italy 08 - 11 Apr 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISBI.2019.8759528Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients
Grisan, E., Zandon`a, A. and Di Camillo, B. (2019). Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 24 - 26 Apr 2019 i6doc.Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal
Gadaleta, M., Facchinetti, A., Grisan, E. and Rossi, M. (2019). Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal. IEEE Journal of Biomedical and Health Informatics. 23 (2). https://doi.org/10.1109/JBHI.2018.2823763Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves
Stanziola, A., Toulemonde, M., Papadopoulou, V., Corbett, R., Duncan, N., Grisan, E. and Tang, M-X. (2019). Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time
Christensen-Jeffries, K., Brown, J., Harput, S., Zhang, G., Zhu, J., Tang, M-X., Dunsby, C. and Eckersley, R.J. (2019). Poisson Statistical Model of Ultrasound Super-Resolution Imaging Acquisition Time. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. https://doi.org/10.1109/tuffc.2019.2916603High frame rate contrast enhanced ultrasound imaging for slow flow: influence of ultrasound pressure and flow rate on bubble disruption and image persistence
Zhu, J., Lin, S., Leow, C.H., Rowland, E.M., Riemer, K., Harput, S., Weinberg, P.D. and Tang, M-X. (2019). High frame rate contrast enhanced ultrasound imaging for slow flow: influence of ultrasound pressure and flow rate on bubble disruption and image persistence. Ultrasound in Medicine and Biology. 45 (9), pp. 2456-2470. https://doi.org/10.1016/j.ultrasmedbio.2019.05.016High frame rate tri-plane echocardiography with spiral arrays: from simulation to real-time implementation
Ramalli, A., Harput, S., Bizy, S., Boni, E., Eckersley, R.J., Tortoli, P. and D'hooge, J. (2019). High frame rate tri-plane echocardiography with spiral arrays: from simulation to real-time implementation. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 67 (1). https://doi.org/10.1109/TUFFC.2019.29402893-D Super-Resolution Ultrasound Imaging with a 2-D Sparse Array
Harput, S., Christensen-Jeffries, K., Ramalli, A., Brown, J., Zhu, J., Zhang, G., Leow, C-H., Toulemonde, M., Boni, E., Tortoli, P., Eckersley, R.J., Dunsby, C. and Tang, M-X. (2019). 3-D Super-Resolution Ultrasound Imaging with a 2-D Sparse Array. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 67 (2), pp. 269-277. https://doi.org/10.1109/TUFFC.2019.29436463D Super-Resolution US Imaging of Rabbit Lymph Node Vasculature in Vivo by Using Microbubbles
Zhu, J., Rowland, E.M., Harput, S., Riemer, K., Leow, C.H., Clark, B., Lim, A., Christensen-Jeffries K, Zhang, G., Brown, J., Dunsby, C., Eckerslet, R.J., Weinberg, P.D. and Tang, M.X (2019). 3D Super-Resolution US Imaging of Rabbit Lymph Node Vasculature in Vivo by Using Microbubbles. Radiology. 291 (3), pp. 642-650. https://doi.org/10.1148/radiol.2019182593Investigation of Microbubble Detection Methods for Super-Resolution Imaging of Microvasculature
Brown, J., Christensen-Jeffries, K., Harput, S., Zhang, G., Zhu, J., Dunsby, C., Tang, M-X. and Eckersley, R.J. (2019). Investigation of Microbubble Detection Methods for Super-Resolution Imaging of Microvasculature. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 66 (4), pp. 676-691. https://doi.org/10.1109/TUFFC.2019.2894755Fast acoustic wave sparsely activated localization microscopy (fast-AWSALM): ultrasound super-resolution using plane-wave activation of nanodroplets
Zhang, G., Harput, S., Hu, H., Christensen-Jeffries, K., Zhu, J., Brown, J., Leow, C.H., Eckersley, R., Dunsby, R. and Tang, M-X. (2019). Fast acoustic wave sparsely activated localization microscopy (fast-AWSALM): ultrasound super-resolution using plane-wave activation of nanodroplets. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 66 (6), pp. 1039-1046. https://doi.org/10.1109/TUFFC.2019.2906496Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Savioli, N., Visentin, S., Cosmi, E., Grisan, E., Lamata, P. and Montana, G. (2018). Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece 04 - 07 Oct 2018 Springer. https://doi.org/10.1007/978-3-030-01421-6_153D Ultrasound Image Guidance and Therapy Through the Rib Cage with a Therapeutic Random Phased Array
Zubair, M., Harput, S. and Dickinson, R. J. (2018). 3D Ultrasound Image Guidance and Therapy Through the Rib Cage with a Therapeutic Random Phased Array. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8579835New Denoising Unsharp Masking Method for Improved Intima Media Thickness Measurements with Active Contour Segmentation
Moubark, A.M., Cowell, D.M.J., Harput, S. and Freear, S. (2018). New Denoising Unsharp Masking Method for Improved Intima Media Thickness Measurements with Active Contour Segmentation. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8579733Fast Acoustic Wave Sparsely Activated Localization Microscopy (Fast-AWSALM) Using Octafluoropropane N Anodroplets
Zhang, G., Harput, S., Hu, H., Christensen-Jeffries K, Zhu, J., Brown, J., Leow, C.H., Dunsby, C., Eckersley, R.J. and Tang, M.X. (2018). Fast Acoustic Wave Sparsely Activated Localization Microscopy (Fast-AWSALM) Using Octafluoropropane N Anodroplets. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580192Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy
Harput, S. (2018). Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.85802123D in Vitro Ultrasound Super-Resolution Imaging Using a Clinical System
Christensen-Jeffries, K, Harput, S., Brown, J., Zhang, G., Zhu, J., Tang, M.X., Dunsby, C. and Eckersley, R. (2018). 3D in Vitro Ultrasound Super-Resolution Imaging Using a Clinical System. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580144Combining Acoustic Trapping with Plane Wave Imaging for Localized Microbubble Accumulation in Large Vessels
Nie, L., Harput, S., Cowell, D.M.J., Carpenter, T.M., Mclaughlan, J.R. and Freear, S. (2018). Combining Acoustic Trapping with Plane Wave Imaging for Localized Microbubble Accumulation in Large Vessels. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 65 (7), pp. 1193-1204. https://doi.org/10.1109/TUFFC.2018.2838332Acoustic wave sparsely-activated localization microscopy (AWSALM): super-resolution ultrasound imaging using acoustic activation and deactivation of nanodroplets
Zhang, G., Harput, S., Lin, S., Christensen-Jeffries, K, Leow, C.H., Brown, J., Dunsby, C., Eckersley, R. and Tang, M. (2018). Acoustic wave sparsely-activated localization microscopy (AWSALM): super-resolution ultrasound imaging using acoustic activation and deactivation of nanodroplets. Applied Physics Letters. 113.Two-stage motion correction for super-resolution ultrasound imaging in human lower limb
Harput, S., Christensen-Jeffries, K., Brown, J., Yuanwei, L., Williams, K.J., Davies, A.H., Eckersley, R., Dunsby, C.W. and Tang, M. (2018). Two-stage motion correction for super-resolution ultrasound imaging in human lower limb. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 65 (5), pp. 803-814. https://doi.org/10.1109/TUFFC.2018.28248463-D super-resolution ultrasound (SR-US) imaging using a 2-D sparse array with high volumetric imaging rate
Harput, S., Christensen-Jeffries, K., Brown, J., Zhu, J., Zhang, G., Leow, C.H., Toulemonde, M., Ramalli, A., Boni, E., Tortoli, P., Eckersley, R.J., Dunsby, C. and Tang, M. (2018). 3-D super-resolution ultrasound (SR-US) imaging using a 2-D sparse array with high volumetric imaging rate. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE).3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging
Harput, S., Christensen-Jeffries, K, Brown, J., Zhu, J., Zhang, G., Eckersley, R.J., Dunsby C. and Tang, M. (2018). 3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580145Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints
Fiocco, U, Stramare, R, Martini, V, Coran, A, Caso, F, Costa, L, Felicetti, M, Rizzo, G, Tonietto, M, Scanu, A, Oliviero, F, Raffeiner, B, Vezzù, M, Lunardi, F, Scarpa, R, Sacerdoti, D, Rubaltelli, L, Punzi, L, Doria, A and Grisan, E (2017). Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints. Clinical Rheumatology. 36 (2), pp. 391-399. https://doi.org/10.1007/s10067-016-3500-xNew improved unsharp masking methods compatible with ultrasound B-mode imaging
Moubark, AM, Carpenter, TM, Cowell, DMJ, Harput, S and Freear, S (2017). New improved unsharp masking methods compatible with ultrasound B-mode imaging. 2017 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2017.8092244High frame rate contrast enhanced ultrasound imaging of lymphatic vessel phantom
Zhu, J, Lin, S, Harput, S, Toulemonde, M, Leow, CH and Tang, MX (2017). High frame rate contrast enhanced ultrasound imaging of lymphatic vessel phantom. 2017 IEEE International Ultrasonics Symposium (IUS). 06 - 09 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2017.8092326Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
Hooshmand, M, Zordan, D, Del Testa, D, Grisan, E and Rossi, M (2017). Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals. IEEE Internet of Things Journal. 4, pp. 1647-1662. https://doi.org/10.1109/JIOT.2017.2689164Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250818Improving the quantification of contrast enhanced ultrasound using a Bayesian approach
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Improving the quantification of contrast enhanced ultrasound using a Bayesian approach. SPIE Medical Imaging. Orlando, FL , USA 16 2016 - 11 Feb 2017 SPIE. https://doi.org/10.1117/12.2250195Superpixel-based classification of gastric chromoendoscopy images
Boschetto, D and Grisan, E (2017). Superpixel-based classification of gastric chromoendoscopy images. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2254187Boosted learned kernels for data-driven vesselness measure
Grisan, E (2017). Boosted learned kernels for data-driven vesselness measure. Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370Z (2017). Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250370Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling
Palombit, A, Castellaro, M, Calabrese, M, Romualdi, C, Pizzini, FB, Montemezzi, S, Grisan, E and Bertoldo, A (2017). Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 18 - 21 Apr 2017 pp. 792-795 https://doi.org/10.1109/ISBI.2017.7950637From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis
Grisan, E, Rizzo, G, Tonietto, M, Coran, A, Raffeiner, B, Scanu, A, Martini, V, Stramare, R and Fiocco, U (2017). From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 17 - 21 Apr 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 899-902 https://doi.org/10.1109/ISBI.2017.7950661Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α
Raffeiner, B, Grisan, E, Botsios, C, Stramare, R, Rizzo, G, Bernardi, L, Punzi, L, Ometto, F and Doria, A (2017). Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α. Rheumatology (United Kingdom). 56, pp. 1320-1325. https://doi.org/10.1093/rheumatology/kex084