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JournalISSN: 2355-6056

IUS : Jurnal Ilmiah Fakultas Hukum 

Universitas Panca Marga
About: IUS : Jurnal Ilmiah Fakultas Hukum is an academic journal published by Universitas Panca Marga. The journal publishes majorly in the area(s): Medicine & Engineering. It has an ISSN identifier of 2355-6056. Over the lifetime, 563 publications have been published receiving 117 citations. The journal is also known as: Jurnal Ilmiah Fakultas Hukum.
Topics: Medicine, Engineering, Computer science, Biology

Papers published on a yearly basis

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DOI
TL;DR: In this article , a dialysis membrane experiment was performed to determine release rates from doxorubicin (DOX)-loaded gold nanoparticles (GNPs) for two treatments: (1) mechanical stimulation with a low intensity pulsed ultrasound (LIPUS) transducer, and (2) heating with a hot water bath (thermal DOX release).
Abstract: In this work, a dialysis membrane experiment was performed to determine release rates from doxorubicin (DOX)-loaded gold nanoparticles (GNPs) for two treatments: (1) mechanical stimulation with a low intensity pulsed ultrasound (LIPUS) transducer (non-thermal DOX release), and (2) heating with a hot water bath (thermal DOX release). DOX release was quantified by performing a fluorescence-to-concentration calibration, and curve-fitting techniques were applied to study DOX release rate kinetics for thermal and non-thermal release. For both thermal and non-thermal release rate data a second order exponential fit was found to show good agreement. From this, a release rate equation for thermal and non-thermal mechanisms of LIPUS-induced DOX release from GNP drug carriers was established.

4 citations

Journal ArticleDOI
TL;DR: In this article , a wearable wearable US device for detecting muscle activities was developed, where a 16-element 10 MHz flexible sparse array was designed, fabricated, and characterized, and the feasibility of monitoring muscle activity in different regions was demonstrated by in vivo human experiment.
Abstract: People who suffer from the amputation of limbs or with mobility impairment due to methodological disorder sometimes require assistive robotics (AR), such as robotic prostheses and exoskeletons, to function satisfactorily and productively in daily life. Dynamic measurements of muscle voluntary activities are widely used to control AR, and sensors used to control AR should be non-invasive, effective, and wearable. Ultrasound (US) imaging is an effective method for measuring muscle activity. Nevertheless, conventional US transducers are cumbersome and inflexible, making them inconvenient for continuous monitoring of muscle activity for AR control. In light of no report available about using a flexible transducer for detecting muscle activities for AR, this work aims to develop a novel wearable US device for detecting muscle activities. In specific, a 16-element 10 MHz flexible sparse array was designed, fabricated, and characterized. The feasibility of monitoring muscle activity in different regions was demonstrated by an in vivo human experiment.

4 citations

DOI
TL;DR: In this article , the authors proposed an artifact removal factor, which is a combination of an edge detection image filter and a standard deviation filter that is applied to the back-projected signals.
Abstract: Reducing the number of acoustic detectors in a circular-view photoacoustic imaging system leads to cost reduction and increased efficiency. But reducing the number of acoustic detectors results in appearing more streak artifacts in the reconstructed image. In this paper to suppress artifacts, we proposed an artifact removal factor. The proposed factor is a combination of an edge detection image filter and a standard deviation filter that is applied to the back-projected signals. To evaluate the performance of the proposed method, we reduced the number of transducers to a fifth of the minimum required number. Numerical results have shown that the generalized contrast to noise ratio (gCNR) reaches 0.85 in the proposed method. Also, the degradation of the gCNR is not significant by reducing the number of acoustic detectors from 1200 to 240. Moreover, the structural similarity index measure (SSIM) values reach 0.91 and 0.94 for 1200 and 240 acoustic detectors, respectively, which is more than ~100%improvement compared to the conventional method.

3 citations

DOI
TL;DR: In this article , the authors presented the first known photoacoustic images acquired with a flexible array transducer in multiple concave shapes targeted toward interventional photo-acoustic applications and provided target depth measurements and quantitative characterization of image quality.
Abstract: Photoacoustic imaging has recently demonstrated strong viability for surgical guidance, enabling visualization of tool tips during surgery. To receive the photoacoustic signal, most conventional transducers are rigid, while a flexible array is able to deform and provide complete contact on surfaces with different geometries. In this work, we present the first known photoacoustic images acquired with a flexible array transducer in multiple concave shapes targeted toward interventional photoacoustic applications. We provide target depth measurements and quantitative characterization of image quality. The target depth agreement with ground truth ranged 97.28 – 99.24%. The lateral and axial target sizes of a 1 mm diameter target were 1.31 ± 0.12 mm and 1.70 ± 0.11 mm, respectively. The mean ± one standard deviation of target contrast and signal-to-noise ratios were 19.05 ± 1.47 dB and 61.49 ± 1.47 dB, respectively. Results establish the feasibility of implementing photoacoustic-guided surgery with a flexible array transducer.

3 citations

DOI
TL;DR: In this article , the authors present a method for sound speed estimation that avoids this bias by estimating the sound speed without beamforming, which is a promising quantitative parameter in ultrasound for both for it's potential as a biomarker and for aberration correction.
Abstract: Sound speed estimation is a promising quantitative parameter in ultrasound for both for it's potential as a biomarker, where sound speed is known to be correlated with biological changes, and for aberration correction, where knowledge of the sound speed allows for correction of distortions in the image. Previous methods for sound speed estimation rely on the use of an a-priori sound speed for beamforming, from which sound-speed estimates are then calculated. However, this assumption introduces a bias in the estimation technique, because errors in the a-priori sound speed lead to distortions in the image. Here we present a method for sound speed estimation that avoids this bias by estimating the sound speed without beamforming.

3 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2022563