PO-1540 Wireless Device for Adaptive Planning Based upon Thermoacoustic Range Estimates-Benchtop Validation

Abstract Background Daily anatomical deviations may distort the dose distribution in carbon ion radiotherapy (CIRT), which may cause treatment failure. Therefore, this study aimed to perform re-planning to maintain the dose coverage in patients with pancreatic cancer with passive scattering CIRT. Methods Eight patients with pancreatic cancer and 95 daily computed tomography (CT) sets were examined. Two types of adaptive plans based on new range compensators (RCs) (AP-1) and initial RCs (AP-2) were generated. In AP-2, each beam was optimized by manually adjusting the range shifter thickness and spread-out Bragg peak size to make dose reduction by < 3% of the original plan. Doses of the original plan with bone matching (BM) and tumor matching (TM) were examined for comparison. We calculated the accumulated dose using the contour and intensity-based deformable image registration algorithm. The dosimetric differences in respect to the original plan were compared between methods. Results Using TM and BM, mean ± standard deviations of daily CTV V95 (%) difference from the original plan was − 5.1 ± 6.2 and − 8.8 ± 8.8, respectively, but 1.2 ± 3.4 in AP-1 and − 0.5 ± 2.1 in AP-2 (P < 0.001). AP-1 and AP-2 enabled to maintain a satisfactory accumulated dose in all patients. The dose difference was 1.2 ± 2.8, − 2,1 ± 1.7, − 7.1 ± 5.2, and − 16.5 ± 15.0 for AP-1, AP-2, TM, and BM, respectively. However, AP-2 caused a dose increase in the duodenum, especially in the left–right beam. Conclusions The possible dose deterioration should be considered when performing the BM, even TM. Re-planning based on single beam optimization in passive scattering CIRT seems an effective and safe method of ensuring the treatment robustness in pancreatic cancer. Further study is necessary to spare healthy tissues, especially the duodenum.

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Ultra-low power and compact backscatter wireless device and its SDR based reading system for environment monitoring in UHF band

IEEE Sensors Letters ◽

10.1109/lsens.2021.3074187 ◽

2021 ◽

pp. 1-1

Author(s):

Arnaud Vena ◽

Neel Samat ◽

Brice Sorli ◽

Jean Podlecki

Keyword(s):

Low Power ◽

Environment Monitoring ◽

Ultra Low Power ◽

Wireless Device ◽

Reading System ◽

Uhf Band

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Feasibility of Continual Deep Learning-Based Segmentation for Personalized Adaptive Radiation Therapy in Head and Neck Area

Cancers ◽

10.3390/cancers13040702 ◽

2021 ◽

Vol 13 (4) ◽

pp. 702

Author(s):

Nalee Kim ◽

Jaehee Chun ◽

Jee Suk Chang ◽

Chang Geol Lee ◽

Ki Chang Keum ◽

...

Keyword(s):

Deep Learning ◽

Head And Neck ◽

Organs At Risk ◽

Subjective Assessment ◽

Turing Test ◽

Similar Rate ◽

Dice Similarity Coefficient ◽

Adaptive Planning ◽

Test Set ◽

Using Data

This study investigated the feasibility of deep learning-based segmentation (DLS) and continual training for adaptive radiotherapy (RT) of head and neck (H&N) cancer. One-hundred patients treated with definitive RT were included. Based on 23 organs-at-risk (OARs) manually segmented in initial planning computed tomography (CT), modified FC-DenseNet was trained for DLS: (i) using data obtained from 60 patients, with 20 matched patients in the test set (DLSm); (ii) using data obtained from 60 identical patients with 20 unmatched patients in the test set (DLSu). Manually contoured OARs in adaptive planning CT for independent 20 patients were provided as test sets. Deformable image registration (DIR) was also performed. All 23 OARs were compared using quantitative measurements, and nine OARs were also evaluated via subjective assessment from 26 observers using the Turing test. DLSm achieved better performance than both DLSu and DIR (mean Dice similarity coefficient; 0.83 vs. 0.80 vs. 0.70), mainly for glandular structures, whose volume significantly reduced during RT. Based on subjective measurements, DLS is often perceived as a human (49.2%). Furthermore, DLSm is preferred over DLSu (67.2%) and DIR (96.7%), with a similar rate of required revision to that of manual segmentation (28.0% vs. 29.7%). In conclusion, DLS was effective and preferred over DIR. Additionally, continual DLS training is required for an effective optimization and robustness in personalized adaptive RT.

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Wireless device identification using oscillator control voltage as RF fingerprint

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) ◽

10.1109/ccece.2017.7946820 ◽

2017 ◽

Cited By ~ 3

Author(s):

Mahzad Azarmehr ◽

Ankit Mehta ◽

Rashid Rashidzadeh

Keyword(s):

Control Voltage ◽

Device Identification ◽

Wireless Device ◽

Rf Fingerprint

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Reconfigurable Multiband Operation for Wireless Devices Embedding Antenna Boosters

Electronics ◽

10.3390/electronics10070808 ◽

2021 ◽

Vol 10 (7) ◽

pp. 808

Author(s):

Jaume Anguera ◽

Aurora Andújar ◽

José Luis Leiva ◽

Oriol Massó ◽

Joakim Tonnesen ◽

...

Keyword(s):

Ground Plane ◽

Wireless Devices ◽

Matching Network ◽

Smart Meters ◽

Efficient Operation ◽

Frequency Bands ◽

Tunable Capacitor ◽

Prior Art ◽

Wireless Device ◽

Reconfigurable Matching Network

Wireless devices such as smart meters, trackers, and sensors need connections at multiple frequency bands with low power consumption, thus requiring multiband and efficient antenna systems. At the same time, antennas should be small to easily fit in the scarce space existing in wireless devices. Small, multiband, and efficient operation is addressed here with non-resonant antenna elements, featuring volumes less than 90 mm3 for operating at 698–960 MHz as well as some bands in a higher frequency range of 1710–2690 MHz. These antenna elements are called antenna boosters, since they excite currents on the ground plane of the wireless device and do not rely on shaping complex geometric shapes to obtain multiband behavior, but rather the design of a multiband matching network. This design approach results in a simpler, easier, and faster method than creating a new antenna for every device. Since multiband operation is achieved through a matching network, frequency bands can be configured and optimized with a reconfigurable matching network. Two kinds of reconfigurable multiband architectures with antenna boosters are presented. The first one includes a digitally tunable capacitor, and the second one includes radiofrequency switches. The results show that antenna boosters with reconfigurable architectures feature multiband behavior with very small sizes, compared with other prior-art techniques.

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