11 research outputs found
3D Cascaded U-Net with a Squeeze-and-Exicitation Block for Semantic Segmentation on Kidney and Renal Cell Carcinoma in Abdonimal Volumetric CT
Segmentation is a fundamental process in medical image analysis. Recently, convolutional neural networks (CNNs) has allowed for automatic segmentation; however, segmentaiton of complex organs and diseases including the kidney or renal cell carcinoma (RCC) remains a different task due to limited data and labor-intensive labeling work. The purpose of this study is to segment kideny and RCC in CT using cascaded 3D U-Net with a squeeze-and-excitation (SE) block using a cascaded method. 210 kidneys and their RCC in abdominal CT images were used as training and validation sets. The Dice similarity coefficients (DSCs) of kidney and RCC in test set were 0.963 and 0.734 respectively. The cascaded semantic segmentation can potentially reduce segmentation efforts and increase the efficiency in clinical workflow
Radiation Engineering of Optical Antennas for Maximum Field Enhancement
Optical antennas have generated much interest in
recent years due to their ability to focus optical energy beyond
the diffraction limit, benefiting a broad range of applications
such as sensitive photodetection, magnetic storage, and surfaceenhanced
Raman spectroscopy. To achieve the maximum field
enhancement for an optical antenna, parameters such as the
antenna dimensions, loading conditions, and coupling efficiency
have been previously studied. Here, we present a framework,
based on coupled-mode theory, to achieve maximum field
enhancement in optical antennas through optimization of optical antennas’ radiation characteristics. We demonstrate that the
optimum condition is achieved when the radiation quality factor (Q_(rad)) of optical antennas is matched to their absorption quality
factor (Q_(abs)). We achieve this condition experimentally by fabricating the optical antennas on a dielectric (SiO2) coated ground
plane (metal substrate) and controlling the antenna radiation through optimizing the dielectric thickness. The dielectric thickness at
which the matching condition occurs is approximately half of the quarter-wavelength thickness, typically used to achieve
constructive interference, and leads to ∼20% higher field enhancement relative to a quarter-wavelength thick dielectric layer
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Advanced Robotic Therapy Integrated Centers (ARTIC): an international collaboration facilitating the application of rehabilitation technologies
Background: The application of rehabilitation robots has grown during the last decade. While meta-analyses have shown beneficial effects of robotic interventions for some patient groups, the evidence is less in others. We established the Advanced Robotic Therapy Integrated Centers (ARTIC) network with the goal of advancing the science and clinical practice of rehabilitation robotics. The investigators hope to exploit variations in practice to learn about current clinical application and outcomes. The aim of this paper is to introduce the ARTIC network to the clinical and research community, present the initial data set and its characteristics and compare the outcome data collected so far with data from prior studies. Methods: ARTIC is a pragmatic observational study of clinical care. The database includes patients with various neurological and gait deficits who used the driven gait orthosis Lokomat® as part of their treatment. Patient characteristics, diagnosis-specific information, and indicators of impairment severity are collected. Core clinical assessments include the 10-Meter Walk Test and the Goal Attainment Scaling. Data from each Lokomat® training session are automatically collected. Results: At time of analysis, the database contained data collected from 595 patients (cerebral palsy: n = 208; stroke: n = 129; spinal cord injury: n = 93; traumatic brain injury: n = 39; and various other diagnoses: n = 126). At onset, average walking speeds were slow. The training intensity increased from the first to the final therapy session and most patients achieved their goals. Conclusions: The characteristics of the patients matched epidemiological data for the target populations. When patient characteristics differed from epidemiological data, this was mainly due to the selection criteria used to assess eligibility for Lokomat® training. While patients included in randomized controlled interventional trials have to fulfill many inclusion and exclusion criteria, the only selection criteria applying to patients in the ARTIC database are those required for use of the Lokomat®. We suggest that the ARTIC network offers an opportunity to investigate the clinical application and effectiveness of rehabilitation technologies for various diagnoses. Due to the standardization of assessments and the use of a common technology, this network could serve as a basis for researchers interested in specific interventional studies expanding beyond the Lokomat®
Effects of individualized versus group task-oriented circuit training on balance ability and gait endurance in chronic stroke inpatients
The effects of whole-body vibration exercise on isokinetic muscular function of the knee and jump performance depending on squatting position
Highly Efficient and Tailorable On-Chip Metal–Insulator–Metal Plasmonic Nanofocusing Cavity
Simulation
techniques were used to investigate the properties of
a deep subwavelength-scale on-chip optical cavity composed of a highly
efficient metal–insulator–metal 3D-tapered plasmonic
nanofocusing waveguide and easily tailorable metal–insulator–metal
plasmonic crystals. The configuration described here significantly
enhanced the highly efficient field localization in the plasmonic
nanofocusing waveguide at the center of the cavity due to the impedance
tuning capabilities of the plasmonic crystals. The plasmonic crystals
served as nanoscale input and output couplers with designable reflectivities
and a clear band-stop regime around the telecommunication wavelength,
λ<sub>0</sub> = 1.55 μm. Simulation studies indicated
that this configuration could efficiently confine electromagnetic
waves on the nanometer length scale through a field intensity enhancement
of 7 × 10<sup>3</sup> and a Purcell enhancement of 8 × 10<sup>3</sup> within a volume of 1.4 × 10<sup>–5</sup> λ<sub>0</sub><sup>3</sup>. To evaluate the performance of the highly efficient
metal–insulator–metal 3D-tapered plasmonic nanofocusing
waveguide structure itself, the overall focusing efficiency, that
is, the transmission rate from the wavelength-scale input side to
the deep subwavelength-scale focusing core in the tapered waveguide,
was calculated to be around 85%