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Chinese Journal of Medical Instrumentation 2026年 第50卷 第1期
研 究 与 论 著
[43] YAN J P, ZHANG T, BROUGHTON-VENNER J, et al. [57] ZHANG G B, GU W T, YUE Y T, et al. ULM-
Super-resolution ultrasound through sparsity-based MbCNRT: in vivo ultrafast ultrasound localization
deconvolution and multi-feature tracking[J]. IEEE Trans microscopy by combining multibranch CNN and
Med Imaging, 2022, 41(8): 1938-1947. recursive transformer[J]. IEEE Trans Ultrason Ferroelectr
[44] SONG P F, TRZASKO J D, MANDUCA A, et al. Freq Control, 2024, 71(12): 1735-1751.
Improved super-resolution ultrasound microvessel [58] ZHANG G B, HU X, REN X, et al. In vivo ultrasound
imaging with spatiotemporal nonlocal means filtering and localization microscopy for high-density microbubbles[J].
bipartite graph-based microbubble tracking[J]. IEEE Ultrasonics, 2024, 143: 107410.
Trans Ultrason Ferroelectr Freq Control, 2018, 65(2): [59] HEILES B, CORREIA M, HINGOT V, et al. Ultrafast 3D
149-167. ultrasound localization microscopy using a 32×32 matrix
[45] TINEVEZ J Y. Simpletracker - A simple particle tracking array[J]. IEEE Trans Med Imaging, 2019, 38(9): 2005-
algorithm for MATLAB that can deal with gaps[EB/OL]. 2015.
(2022-11-17)[2023-04-04]. https://github.com/tinevez/ [60] CHAVIGNON A, HEILES B, HINGOT V, et al. 3D
simpletracker. transcranial ultrasound localization microscopy in the rat
[46] KUHN H W. The hungarian method for the assignment brain with a multiplexed matrix probe[J]. IEEE Trans
problem[J]. Nav Res Logist, 2005, 52(1):7-21. Biomed Eng, 2022, 69(7): 2132-2142.
[47] REVACH G, SHLEZINGER N, NI X Y, et al. [61] JENSEN J A, OMMEN M L, OYGARD S H, et al.
KalmanNet: neural network aided Kalman filtering for Three-dimensional super-resolution imaging using a row-
partially known dynamics[J]. IEEE Trans Signal Process, column array[J]. IEEE Trans Ultrason Ferroelectr Freq
2022, 70: 1532-1547. Control, 2020, 67(3): 538-546.
[48] STEVENS T S W, HERBST E B, LUIJTEN B, et al. A [62] JENSEN J A, SCHOU M, JORGENSEN L T, et al.
hybrid deep learning pipeline for improved ultrasound Anatomic and functional imaging using row-column
localization microscopy[C]// 2022 IEEE International arrays[J]. IEEE Trans Ultrason Ferroelectr Freq Control,
Ultrasonics Symposium (IUS). 2022: 1-4. 2022, 69(10): 2722-2738.
[49] ASHIKUZZAMAN M, HELFIELD B, RIVAZ H. [63] HANSEN-SHEARER J, LERENDEGUI M,
Analytic optimization-based microbubble tracking in TOULEMONDE M, et al. Ultrafast 3-D ultrasound
ultrasound super-resolution microscopy[C]// 2022 IEEE imaging using row-column array-specific frame-multiply-
International Ultrasonics Symposium (IUS). 2022: 1-4. and-sum beamforming[J]. IEEE Trans Ultrason
[50] HUANG C W, LOWERISON M R, TRZASKO J D, et al. Ferroelectr Freq Control, 2022, 69(2): 480-488.
Short acquisition time super-resolution ultrasound [64] HEILES B, NELISSEN F, TERWIEL D, et al. Nonlinear
microvessel imaging via microbubble separation[J]. Sci sound-sheet microscopy: imaging opaque organs at the
Rep, 2020, 10(1): 6007. capillary and cellular scale[J]. Science, 2025, 388(6742):
[51] LOK U W, HUANG C W, TRZASKO J D, et al. Three- eads1325.
dimensional ultrasound localization microscopy with [65] JENSEN J A, SVENDSEN N B. Calculation of pressure
bipartite graph-based microbubble pairing and Kalman- fields from arbitrarily shaped, apodized, and excited
filtering-based tracking on a 256-channel Verasonics ultrasound transducers[J]. IEEE Trans Ultrason
ultrasound system with a 32×32 matrix array[J]. J Med Ferroelectr Freq Control, 1992, 39(2): 262-267.
Biol Eng, 2022, 42(6): 767-779. [66] JENSEN J A. Field: a program for simulating ultrasound
[52] LIU J C, LIANG M L, MA J X, et al. Microbubble systems[J]. Med Biol Eng Computing, 1996, 34(Sup1-
tracking based on partial smoothing-based adaptive Part1): 351-352.
generalized labelled multi-Bernoulli filter for super- [67] CHABOUH G, DENIS L, BODARD S, et al. Whole
resolution imaging[J]. Ultrasonics, 2025, 145: 107455. organ volumetric sensing ultrasound localization
[53] LIU X, LI B Y, PANG B, et al. Improved ultrasound microscopy for characterization of kidney structure[J].
imaging performance with complex cumulant analysis[J]. IEEE Trans Med Imaging, 2024, 43(11): 4055-4063.
IEEE Trans Biomed Eng, 2022, 69(3): 1281-1289. [68] ZHANG G, LEI Y M, LI N, et al. Ultrasound super-
[54] YOUN J, OMMEN M L, STUART M B, et al. Detection resolution imaging for differential diagnosis of breast
and localization of ultrasound scatterers using masses[J]. Front Oncol, 2022, 12: 1049991.
convolutional neural networks[J]. IEEE Trans Med [69] PORTE C, LISSON T, KOHLEN M, et al. Ultrasound
Imaging, 2020, 39(12): 3855-3867. localization microscopy for breast cancer imaging in
[55] MILECKI L, POREE J, BELGHARBI H, et al. A deep patients: protocol optimization and comparison with shear
learning framework for spatiotemporal ultrasound wave elastography[J]. Ultrasound Med Biol, 2024, 50(1):
localization microscopy[J]. IEEE Trans Med Imaging, 57-66.
2021, 40(5): 1428-1437. [70] LI J, CHEN L, WANG R H, et al. Ultrasound localization
[56] SOLOMON O, COHEN R, ZHANG Y, et al. Deep microscopy in the diagnosis of breast tumors and
unfolded robust PCA with application to clutter prediction of relevant histologic biomarkers associated
suppression in ultrasound[J]. IEEE Trans Med Imaging, with prognosis in humans: the protocol for a prospective,
2020, 39(4): 1051-1063. multicenter study[J]. BMC Med Imaging, 2025, 25(1):
52

