Construction Methodology for NIUTS – Bed Servoing System for Body Targets –

2013 ◽  
Vol 25 (6) ◽  
pp. 1088-1096 ◽  
Author(s):  
Norihiro Koizumi ◽  
◽  
Joonho Seo ◽  
Takakazu Funamoto ◽  
Yutaro Itagaki ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Region Of Interest ◽  
Human Kidney ◽  
New Method ◽  
Affected Area ◽  
Non Invasive ◽  
Do So

Unwanted motion is a serious problem in enhancing servoing performance in an affected area, which incorporates stones/tumours in non-invasive ultrasound theragnostic systems (NIUTS). To solve this problem, we proposed a new method for restricting the motion of the affected area ventrodorsally in the region of interest (ROI) in ultrasound imaging. To do so, we introduce a bed mechanism for NIUTS. It is confirmed that a human kidney could be tracked and followed appropriately using the proposedmethod and the newly constructed bed system.

A Non-Invasive γ-Camera Technique for the Measurement of Intrarenal Flow Distribution in Man

1981 ◽  
Vol 61 (4) ◽  
pp. 385-389 ◽  
Author(s):  
S. M. Gruenewald ◽  
C. C. Nimmon ◽  
M. K. Nawaz ◽  
K. E. Britton
Keyword(s):  
Flow Distribution ◽  
Region Of Interest ◽  
Human Kidney ◽  
Normal Subjects ◽  
Hypertensive Patients ◽  
Renal Autoregulation ◽  
Non Invasive ◽  
Transit Times ◽  
Left And Right ◽  
The Mean

1. A new method, based on the transit time of o-iodohippurate sodium (Hippuran) through the kidney, is proposed as an accurate non-invasive means of measuring the intrarenal flow distribution in man. 2. Data from [123I]Hippuran γ-camera renography are utilized in this method which employs region of interest selection, deconvolution, cross-correlation and curve subtraction to obtain the spectrum of transit times through the cortical and juxtamedullary nephrons. 3. In 12 normal subjects the mean percentage cortical flow was 83.9% (sem 0.7%) which is approximately the anatomical proportion of cortical nephrons in the human kidney. 4. Cortical flow as a percentage of total was significantly reduced in 21 hypertensive patients, all of whom had no evidence of primary renal disease (mean 74.6%, sem 1.5%). 5. In both the normotensive and hypertensive groups there was a good correlation between the results obtained from the left and right kidneys of the same patient showing the parallel physiological response of the two kidneys (mean difference 4%, P < 0.001). 6. Reduction in the distribution of flow to the cortical nephrons in the essential hypertensive patients supports the hypothesis that renal autoregulation is important in this syndrome.

Experimental Validation of Minimax Entropy Principle in Ultrasound Images

2019 ◽  
Vol 12 (6) ◽  
pp. 487-493
Author(s):  
Neha Mehta ◽  
Svav Prasad ◽  
Leena Arya
Keyword(s):  
Region Of Interest ◽  
Ultrasound Images ◽  
Human Gallbladder ◽  
New Approach ◽  
Non Invasive ◽  
Entropy Principle ◽  
Significant Performance ◽  
Considerable Impact ◽  
Ultrasonic Devices ◽  
Measure Of Uncertainty

Ultrasound imaging is one of the non-invasive imaging, that diagnoses the disease inside a human body and there are numerous ultrasonic devices being used frequently. Entropy as a well known statistical measure of uncertainty has a considerable impact on the medical images. A procedure for minimizing the entropy with respect to the region of interest is demonstrated. This new approach has shown the experiments using Extracted Region Of Interest Based Sharpened image, called as (EROIS) image based on Minimax entropy principle and various filters. In this turn, the approach also validates the versatility of the entropy concept. Experiments have been performed practically on the real-time ultrasound images collected from ultrasound centers and have shown a significant performance. The present approach has been validated with showing results over ultrasound images of the Human Gallbladder.

scholarly journals Microwave thermometry with potential application in non-invasive monitoring of hyperthermia

2020 ◽  
Vol 28 (5) ◽  
pp. 739-750
Author(s):  
Morteza Ghaderi Aram ◽  
Larisa Beilina ◽  
Hana Dobsicek Trefna
Keyword(s):  
Least Squares Method ◽  
Regularization Parameter ◽  
Region Of Interest ◽  
Optimal Choice ◽  
Adaptive Finite Element Method ◽  
Adaptive Finite Element ◽  
Non Invasive ◽  
Full Wave ◽  
Reconstruction Quality ◽  
Regularization Techniques

AbstractIntegration of an adaptive finite element method (AFEM) with a conventional least squares method has been presented. As a 3D full-wave forward solver, CST Microwave Studio has been used to model and extract both electric field distribution in the region of interest (ROI) and S-parameters of a circular array consisting of 16 monopole antennas. The data has then been fed into a differential inversion scheme to get a qualitative indicator of how the temperature distribution evolves over a course of the cooling process of a heated object. Different regularization techniques within the Tikhonov framework are also discussed, and a balancing principle for optimal choice of the regularization parameter was used to improve the image reconstruction quality of every 2D slice of the final image. Targets are successfully imaged via proposed numerical methods.

scholarly journals 49-06: Using electromechanical wave imaging, a novel non-invasive ultrasound imaging tool to detect endocardial versus epicardial arrhythmia origins

EP Europace ◽  
2016 ◽  
Vol 18 (suppl_1) ◽  
pp. i31-i31
Author(s):  
Elaine Wan ◽  
Alexander Costet ◽  
Ethan Bunting ◽  
Julien Grondin ◽  
Hasan Garan ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Non Invasive ◽  
Imaging Tool ◽  
Wave Imaging

scholarly journals Remote-controlled insect navigation using plasmonic nanotattoos

2020 ◽  
Author(s):  
Sirimuvva Tadepalli ◽  
Sisi Cao ◽  
Debajit Saha ◽  
Keng-Ku Liu ◽  
Alex Chen ◽  
...  
Keyword(s):  
Region Of Interest ◽  
Biological Tissues ◽  
Plasmonic Nanostructures ◽  
Insect Navigation ◽  
Non Invasive ◽  
Limiting Step ◽  
Engineering Problems ◽  
Complex Engineering ◽  
Recognition Elements ◽  
Insect Antenna

Developing insect cyborgs by integrating external components (optical, electrical or mechanical) with biological counterparts has a potential to offer elegant solutions for complex engineering problems.1 A key limiting step in the development of such biorobots arises at the nano-bio interface, i.e. between the organism and the nano implant that offers remote controllability.1,2 Often, invasive procedures are necessary that tend to severely compromise the navigation capabilities as well as the longevity of such biorobots. Therefore, we sought to develop a non-invasive solution using plasmonic nanostructures that can be photoexcited to generate heat with spatial and temporal control. We designed a ‘nanotattoo’ using silk that can interface the plasmonic nanostructures with a biological tissue. Our results reveal that both structural and functional integrity of the biological tissues such as insect antenna, compound eyes and wings were preserved after the attachment of the nanotattoo. Finally, we demonstrate that insects with the plasmonic nanotattoos can be remote controlled using light and integrated with functional recognition elements to detect the chemical environment in the region of interest. In sum, we believe that the proposed technology will play a crucial role in the emerging fields of biorobotics and other nano-bio applications.

scholarly journals Review on automated follicle identification for polycystic ovarian syndrome

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
A A Nazarudin ◽  
Noraishikin Zulkarnain ◽  
A. Hussain ◽  
S. S. Mokri ◽  
I. N. A. M. Nordin
Keyword(s):  
Performance Evaluation ◽  
Ultrasound Imaging ◽  
Polycystic Ovarian Syndrome ◽  
Speckle Noise ◽  
Future Research ◽  
Health Treatment ◽  
Time Consumption ◽  
Non Invasive ◽  
And Performance ◽  
Ovarian Syndrome

Polycystic Ovarian Syndrome (PCOS), is a condition of the ovary consisting numerous follicles. Accurate size and number of follicles detected are crucial for treatment. Hence the diagnosis of this condition is by measuring and calculating the size and number of follicles existed in the ovary. For diagnosis, ultrasound imaging has become an effective tool as it is non-invasive, inexpensive and portable. However, the presence of speckle noise in ultrasound imaging has caused an obstruction for manual diagnosis which are high time consumption and often produce errors. Thus, image segmentation for ultrasound imaging is critical to identify follicles for PCOS diagnosis and proper health treatment. This paper presents different methods proposed and applied in automated follicle identification for PCOS diagnosis by previous researchers. In this paper, the methods and performance evaluation are identified and compared. Finally, this paper also provided suggestions in developing methods for future research.

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