Super-Resolution Ultrasound Through Sparsity-Based Deconvolution and Multi-Feature Tracking

被引:37
作者
Yan, Jipeng [1 ]
Zhang, Tao [2 ]
Broughton-Venner, Jacob [1 ]
Huang, Pintong [2 ]
Tang, Meng-Xing [1 ]
机构
[1] Imperial Coll London, Dept Bioengn, Ultrasound Lab Imaging & Sensing, London SW7 2AZ, England
[2] Zhejiang Univ, Affiliate Hosp 2, Hangzhou 313000, Peoples R China
基金
英国医学研究理事会; 英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
Kalman filters; Tracking; Imaging; Deconvolution; Ultrasonic imaging; Cost function; Superresolution; Ultrasound super-resolution imaging; ultrasound localization microscopy; deconvolution; graph-based tracking; Kalman filter; motion model; features-based pairing; ACOUSTIC SUPERRESOLUTION; LOCALIZATION MICROSCOPY; DIFFRACTION-LIMIT;
D O I
10.1109/TMI.2022.3152396
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Ultrasound super-resolution imaging through localisation and tracking of microbubbles can achieve sub-wave-diffraction resolution in mapping both micro-vascular structure and flow dynamics in deep tissue in vivo. Currently, it is still challenging to achieve high accuracy in localisation and tracking particularly with limited imaging frame rates and in the presence of high bubble concentrations. This study introduces microbubble image features into a Kalman tracking framework, and makes the framework compatible with sparsity-based deconvolution to address these key challenges. The performance of the method is evaluated on both simulations using individual bubble signals segmented from in vivo data and experiments on a mouse brain and a human lymph node. The simulation results show that the deconvolution not only significantly improves the accuracy of isolating overlapping bubbles, but also preserves some image features of the bubbles. The combination of such features with Kalman motion model can achieve a significant improvement in tracking precision at a low frame rate over that using the distance measure, while the improvement is not significant at the highest frame rate. The in vivo results show that the proposed framework generates SR images that are significantly different from the current methods with visual improvement, and is more robust to high bubble concentrations and low frame rates.
引用
收藏
页码:1938 / 1947
页数:10
相关论文
共 38 条
  • [1] Detection and Tracking of Multiple Microbubbles in Ultrasound B-Mode Images
    Ackermann, Dimitri
    Schmitz, Georg
    [J]. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2016, 63 (01) : 72 - 82
  • [2] Andersen SB, 2019, IEEE INT ULTRA SYM, P1169, DOI [10.1109/ultsym.2019.8926190, 10.1109/ULTSYM.2019.8926190]
  • [3] SUSHI: Sparsity-Based Ultrasound Super-Resolution Hemodynamic Imaging
    Bar-Zion, Avinoam
    Solomon, Oren
    Tremblay-Darveau, Charles
    Adam, Dan
    Eldar, Yonina C.
    [J]. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2018, 65 (12) : 2365 - 2380
  • [4] A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
    Beck, Amir
    Teboulle, Marc
    [J]. SIAM JOURNAL ON IMAGING SCIENCES, 2009, 2 (01): : 183 - 202
  • [5] Imaging intracellular fluorescent proteins at nanometer resolution
    Betzig, Eric
    Patterson, George H.
    Sougrat, Rachid
    Lindwasser, O. Wolf
    Olenych, Scott
    Bonifacino, Juan S.
    Davidson, Michael W.
    Lippincott-Schwartz, Jennifer
    Hess, Harald F.
    [J]. SCIENCE, 2006, 313 (5793) : 1642 - 1645
  • [6] Ultrasound super-resolution imaging provides a noninvasive assessment of renal microvasculature changes during mouse acute kidney injury
    Chen, Qiyang
    Yu, Jaesok
    Rush, Brittney M.
    Stocker, Sean D.
    Tan, Roderick J.
    Kim, Kang
    [J]. KIDNEY INTERNATIONAL, 2020, 98 (02) : 355 - 365
  • [7] SUPER-RESOLUTION ULTRASOUND IMAGING
    Christensen-Jeffries, Kirsten
    Couture, Olivier
    Dayton, Paul A.
    Eldar, Yonina C.
    Hynynen, Kullervo
    Kiessling, Fabian
    O'Reilly, Meaghan
    Pinton, I. Gianmarco F.
    Schmitz, Georg
    Tang, Meng-Xing
    Tanter, Mickael
    Van Sloun, Ruud J. G.
    [J]. ULTRASOUND IN MEDICINE AND BIOLOGY, 2020, 46 (04) : 865 - 891
  • [8] In Vivo Acoustic Super-Resolution and Super-Resolved Velocity Mapping Using Microbubbles
    Christensen-Jeffries, Kirsten
    Browning, Richard J.
    Tang, Meng-Xing
    Dunsby, Christopher
    Eckersley, Robert J.
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (02) : 433 - 440
  • [9] Couture O, 2011, IEEE INT ULTRA SYM, P1285, DOI 10.1109/ULTSYM.2011.6293576
  • [10] Transcranial ultrafast ultrasound localization microscopy of brain vasculature in patients
    Demene, Charlie
    Robin, Justine
    Dizeux, Alexandre
    Heiles, Baptiste
    Pernot, Mathieu
    Tanter, Mickael
    Perren, Fabienne
    [J]. NATURE BIOMEDICAL ENGINEERING, 2021, 5 (03) : 219 - 228