Blind source separation - based motion detector for sub-micrometer, periodic displacement in ultrasonic imaging

Hossain, Murad; Thapa, Diwash; Sierchio, Justin M.; Oldenburg, Amy L.; Gallippi, Caterina M.

doi:10.1109/ultsym.2016.7728880

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Common algorithms running on standard platforms require an ensemble at least 5 s long to elaborate a clear MMUS image . Different groups are currently investigating solutions for improving temporal resolution of MMUS imaging. − …”

Section: Hybrid Imaging Techniquesmentioning

confidence: 99%

Medical Imaging of Microrobots: Toward In Vivo Applications

et al. 2020

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Medical microrobots (MRs) have been demonstrated for a variety of non-invasive biomedical applications, such as tissue engineering, drug delivery, and assisted fertilization, among others. However, most of these demonstrations have been carried out in in vitro settings and under optical microscopy, being significantly different from the clinical practice. Thus, medical imaging techniques are required for localizing and tracking such tiny therapeutic machines when used in medical-relevant applications. This review aims at analyzing the state of the art of microrobots imaging by critically discussing the potentialities and limitations of the techniques employed in this field. Moreover, the physics and the working principle behind each analyzed imaging strategy, the spatiotemporal resolution, and the penetration depth are thoroughly discussed. The paper deals with the suitability of each imaging technique for tracking single or swarms of MRs and discusses the scenarios where contrast or imaging agent's inclusion is required, either to absorb, emit, or reflect a determined physical signal detected by an external system. Finally, the review highlights the existing challenges and perspective solutions which could be promising for future in vivo applications.

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Section: Hybrid Imaging Techniquesmentioning

confidence: 99%

Medical Imaging of Microrobots: Toward In Vivo Applications

et al. 2020

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“…Development of real-time MMUS may be possible by increasing the magnetic modulation frequency somewhat, until viscous drag that damps and delays the tissue vibration becomes a limitation. It may also be possible to employ blind source separation (BSS) to decrease the ensemble length necessary to produce an MMUS image, and eliminate the need to collect B-off data [30]. Image processing times can also be improved by GPU-based acceleration.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…Recently, Hossain et al . proposed the use of a blind source separation algorithm for MMUS image processing to decrease data collection time [30].…”

Section: Introductionmentioning

confidence: 99%

Effect of Model Thrombus Volume and Elastic Modulus on Magnetomotive Ultrasound Signal Under Pulsatile Flow

Levy

Hossain

Sierchio

et al. 2018

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Direct ultrasonic imaging of arterial and venous thrombi could aid in diagnosis and treatment planning by providing rapid and cost-effective measurements of thrombus volume and elastic modulus. Toward this end, it was demonstrated that open-air magnetomotive ultrasound (MMUS) provides specific contrast to superparamagnetic iron oxide-labeled model thrombi embedded in gelatin-based blood vessel-mimicking flow phantoms. MMUS was performed on model thrombi in the presence of pulsatile flow that mimics cardiac-induced motion found in real vasculature. The MMUS signal and contrast-to-noise ratio (CNR) were measured across a range of physiologically relevant thrombus volumes and elastic moduli. Model thrombus volumes as small as 0.5 ml were shown to be detectable (CNR > 1) over the entire range of elastic moduli tested (3.5-40 kPa). It was also found that MMUS signal and CNR are increased with increasing thrombus volume ( ) and decreasing elastic modulus ( ), while variations in pulsatile flow rate had little effect. These findings demonstrate that MMUS has promise as a direct in vivo thrombosis imaging modality for quantifying thrombus volume and stiffness.

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Blind Source Separation-Based Motion Detector for Imaging Super-Paramagnetic Iron Oxide (SPIO) Particles in Magnetomotive Ultrasound Imaging

Hossain

Levy

Thapa

et al. 2018

IEEE Trans. Med. Imaging

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In magnetomotive ultrasound (MMUS) imaging, an oscillating external magnetic field displaces tissue loaded with super-paramagnetic iron oxide (SPIO) particles. The induced motion is on the nanometer scale, which makes its detection and its isolation from background motion challenging. Previously, a frequency and phase locking (FPL) algorithm was used to suppress background motion by subtracting magnetic field off ( -off) from on ( -on) data. Shortcomings to this approach include long tracking ensembles and the requirement for -off data. In this paper, a novel blind source separation-based FPL (BSS-FPL) algorithm is presented for detecting motion using a shorter ensemble length (EL) than FPL and without -off data. MMUS imaging of two phantoms containing an SPIO-laden cubical inclusion and one control phantom was performed using an open-air MMUS system. When background subtraction was used, contrast and contrast to noise ratio (CNR) were, respectively, 1.20±0.20 and 1.56±0.34 times higher in BSS-FPL as compared to FPL-derived images for EL < 3.5 s. However, contrast and CNR were similar for BSS-FPL and FPL for EL ≥ 3.5 s. When only -on data was used, contrast and CNR were 1.94 ± 0.21 and 1.56 ± 0.28 times higher, respectively, in BSS-FPL as compared to FPL-derived images for all ELs. Percent error in the estimated width and height was 39.30% ± 19.98% and 110.37% ± 6.5% for FPL and was 7.30% ± 7.6% and 16.21% ± 10.29% for BSS-FPL algorithm. This paper is an important step toward translating MMUS imaging to in vivo application, where long tracking ensembles would increase acquisition time and -off data may be misaligned with -on due to physiological motion.

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Blind source separation - based motion detector for sub-micrometer, periodic displacement in ultrasonic imaging

Cited by 5 publications

References 18 publications

Medical Imaging of Microrobots: Toward In Vivo Applications

Medical Imaging of Microrobots: Toward In Vivo Applications

Effect of Model Thrombus Volume and Elastic Modulus on Magnetomotive Ultrasound Signal Under Pulsatile Flow

Blind Source Separation-Based Motion Detector for Imaging Super-Paramagnetic Iron Oxide (SPIO) Particles in Magnetomotive Ultrasound Imaging

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