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Your search keyword '"Isernia, T."' showing total 452 results
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452 results on '"Isernia, T."'

2. Reflector Antennas Characterization and Diagnostics using a Single Set of Far Field Phaseless Data and Crosswords-like Processing

Author

Palmeri, R., Battaglia, G. M., Morabito, A. F., and Isernia, T.

Subjects
Electrical Engineering and Systems Science - Systems and Control, Physics - Applied Physics
Abstract

We introduce and discuss a new approach to the phase retrieval of fields radiated by continuous aperture sources having a circular support, which is of interest in many applications including the detection of shape deformations on reflector antennas. The approach is based on a decomposition of the actual 2-D problem into a number of 1-D phase retrieval problems along diameters and concentric rings of the visible part of the spectrum. In particular, the 1-D problems are effectively solved by using the spectral factorization method, while discrimination arguments at the crossing points allows to complete the retrieval of the 2-D complex field. The proposed procedure, which just requires a single set of far field amplitudes, takes advantage from up to now unexplored field properties and it is assessed in terms of reflector aperture fields.

Published
2021
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4. Power Synthesis of Maximally-Sparse Linear Arrays Radiating Shaped Patterns through a Compressive-Sensing Driven Strategy

Author

Morabito, A. F., Laganà, A. R., Sorbello, G., and Isernia, T.

Subjects
Physics - Applied Physics, Computer Science - Information Theory, 78A25, F.2.2
Abstract

We present an innovative approach to the synthesis of linear arrays having the least possible number of elements while radiating shaped beams lying in completely arbitrary power masks. The approach, based on theory and procedures lend from Compressive Sensing, has two innovative key features. First, it exploits at best the multiplicity of equivalent field solutions corresponding to the many different power patterns lying in the given mask. Second, it a-priori optimizes those parameters that affect the performance of Compressive Sensing. The overall problem is formulated as two convex programming routines plus one local optimization, with the inherent advantages in terms of computational time and solutions optimality. An extensive numerical comparison against state-of-the-art procedures proves the effectiveness of the approach., Comment: 11 pages

Published
2017

17. Infinitely many solutions for fractional Kirchhoff-Sobolev-Hardy critical problems

Author

Ambrosio, V, Fiscella, A, Isernia, T, Ambrosio V, Fiscella A, Isernia T, Ambrosio, V, Fiscella, A, Isernia, T, Ambrosio V, Fiscella A, and Isernia T

Abstract

We investigate a class of critical stationary Kirchhoff fractional p-Laplacian problems in presence of a Hardy potential. By using a suitable version of the symmetric mountain-pass lemma due to Kajikiya, we obtain the existence of a sequence of infinitely many arbitrarily small solutions converging to zero.

Published
2019

28. FOCO: A Novel Versatile Tool in Hyperthermia Treatment Planning

Author

Bellizzi, G. G., Giada Maria Battaglia, Bevacqua, M. T., Crocco, L., and Isernia, T.

Subjects
Sim4Life, Multi-Frequency, Multi-Target, Hyperthermia Treatment Planning, SAR
Abstract

The possibility of ultimately control the power deposition represents the way towards a wide spread adoption of hyperthermia in the clinic. The end goal is represented by the possibility of uniformly shaping the temperature over the target area while keeping it arbitrarily bounded elsewhere. In this respect, an innovative SAR-based optimization strategy, the so called Focusing via Constrained power Optimization (FOCO), has been proposed and recently tested in the clinic. Thanks to its huge versatility (as well as several advantages), different derivations of FOCO were developed addressing different clinical needs. In this communication we aim at review some of these derivations under a common framework.

Published
2019

36. The potential of constrained SAR focusing for hyperthermia treatment planning: analysis for the head & neck region

Author

Bellizzi, G.G., Drizdal, T., van Rhoon, G.C., Crocco, L., Isernia, T., Paulides, M.M., Bellizzi, G.G., Drizdal, T., van Rhoon, G.C., Crocco, L., Isernia, T., and Paulides, M.M.

Abstract

Clinical trials have shown that hyperthermia is a potent adjuvant to conventional cancer treatments, but the temperatures currently achieved in the clinic are still suboptimal. Hyperthermia treatment planning simulations have potential to improve the heating profile of phased-array applicators. An important open challenge is the development of an effective optimization procedure that enables uniform heating of the target region while keeping temperature below a threshold in healthy tissues. In this work, we analyzed the effectiveness and efficiency of a recently proposed optimization approach, i.e. focusing via constrained power optimization (FOCO), using 3D simulations of twelve clinical patient specific models. FOCO performance was compared against a clinically used particle swarm based optimization approach. Evaluation metrics were target coverage at the 25% iso-SAR level, target hotspot quotient, median target temperature (T50) and computational requirements. Our results show that, on average, constrained power focusing performs slightly better than the clinical benchmark (ΔT50 = +0.05 °C), but outperforms this clinical benchmark for large target volumes (>40 cm 3 , Δ T50 = +0.39 °C). In addition, the results are achieved in a shorter time (-44%) and are repeatable because the approach is formulated as a convex optimization problem.

Published
2019

37. Predictive value of SAR based quality indicators for head and neck hyperthermia treatment quality

Author

Bellizzi, G.G., Drizdal, T., Rhoon, G.C. (Gerard) van, Crocco, L., Isernia, T., Paulides, M.M. (Maarten), Bellizzi, G.G., Drizdal, T., Rhoon, G.C. (Gerard) van, Crocco, L., Isernia, T., and Paulides, M.M. (Maarten)

Abstract

Purpose: Hyperthermia treatment quality determines treatment effectiveness as shown by the clinically derived thermal-dose effect relations. SAR based optimization factors are used as possible surrogate for temperature, since they are not affected by thermal tissue properties uncertainty and variations. Previously, target coverage (TC) at the 25% and 50% iso-SAR level was shown predictive for treatment outcome in superficial hyperthermia and the target

Published
2019
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39. Biomedical imaging via wavelet-based regularization and distorted iterated virtual experiments

Author

Palmeri, R., Bevacqua, M. T., Scapaticci, R., Morabito, A. F., Crocco, L., and Isernia, T.

Subjects
Inverse problems, business.industry, 0206 medical engineering, 020206 networking & telecommunications, 02 engineering and technology, 020601 biomedical engineering, Regularization (mathematics), Basis expansion, Wavelet, Microwave imaging, Biomedical imaging, Iterated function, Microwave theory and techniques, Simulated data, Image reconstruction, 0202 electrical engineering, electronic engineering, information engineering, Medical imaging, Computer vision, Breast, Artificial intelligence, Projection (set theory), business, Mathematics
Abstract

In this communication, a new method for quantitative microwave imaging in biomedical applications is presented. This approach is based on the paradigm of 'virtual experiments' and on a regularization technique, which exploits projection onto a wavelet basis expansion. The basic steps of the method are presented and a preliminary example with two-dimensional simulated data is given, in order to demonstrate the potential of the method.

Published
2017
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