Lorenzo Crocco

Dr. Lorenzo Crocco

IREA – Institute for Electromagnetic Sensing of the Environment, Via Diocleziano 328, 8014 Napoli, Italy
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Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2012 in Progress In Electromagnetics Research B
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Journal Article
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Rosa ScapaticciRosa Scapaticci
Rosa Scapaticci
LDLoreto Di Donato
Loreto Di Donato
ICIlaria Catapano
Ilaria Catapano
LCLorenzo Crocco
Lorenzo Crocco
15 May 2007 in IEEE Transactions on Antennas and Propagation
Verified
Journal Article
Closed access
ICIlaria Catapano
Ilaria Catapano
LCLorenzo Crocco
Lorenzo Crocco
TITommaso Isernia
Tommaso Isernia
Efficient and reliable reconstruction of location and shape of dielectric targets via microwave imaging is relevant in many applications. In this respect, the linear sampling method is an effective candidate to pursue this task. However, despite its simplicity and computational effectiveness, still its use is restricted to the mathematical community wherein it has been originally developed. Starting from this observation, in this paper we propose and test a simple and original "physical" interpretation of the linear sampling methods, which shows its relationship with electromagnetic focusing problems. Taking advantage of this result we discuss merits and limitations of the method and suggest new guidelines for a successful application. The analysis is supported with results against experimental data
19 September 2018 in IEEE Transactions on Antennas and Propagation
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Journal Article
Closed access
Rosa ScapaticciRosa Scapaticci
Rosa Scapaticci
Jorge A. Tobon VasquezJorge A. Tobon Vasquez
Jorge A. Tobon Vasquez
GBGennaro Bellizzi
Gennaro Bellizzi
FVFrancesca Vipiana
Francesca Vipiana
LCLorenzo Crocco
Lorenzo Crocco
This paper presents the design of a novel lowcomplexity microwave imaging system for monitoring brain stroke. In particular, the design is concerned with the determination of the optimal layout of the antennas array, namely minimum number, positions and polarization of the radiating elements, enabling the acquisition of an amount of data such to assure a reliable imaging. This goal is achieved by adopting a rigorous design procedure based on the inspection of the singular value decomposition of the relevant discretized scattering operator and taking into account the actual dynamics and signal to noise ratio of the measurement system. The design is first carried out in the case of ideal dipoles and then extended and assessed for actual printed monopole antennas, developed for the imaging system. The resulting system is a helmet equipped with 24 antennas, whose performances have been numerically validated in terms of both spatial resolution and reconstruction capabilities, by employing full-wave numerical simulations, realistic 3-D phantoms of the human head and an accurate modeling of the actual antennas employed in the system.
3 May 2020 in Sensors
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Jorge A. Tobon VasquezJorge A. Tobon Vasquez
Jorge A. Tobon Vasquez
Rosa ScapaticciRosa Scapaticci
Rosa Scapaticci
GTGiovanna Turvani
Giovanna Turvani
GBGennaro Bellizzi
Gennaro Bellizzi
David Rodriguez-DuarteDavid Rodriguez-Duarte
David Rodriguez-Duarte
FVFrancesca Vipiana
Francesca Vipiana
This work focuses on brain stroke imaging via microwave technology. In particular, the open issue of monitoring patients after stroke onset is addressed here in order to provide clinicians with a tool to control the effectiveness of administered therapies during the follow-up period. In this paper, a novel prototype is presented and characterized. The device is based on a low-complexity architecture which makes use of a minimum number of properly positioned and designed antennas placed on a helmet. It exploits a differential imaging approach and provides 3D images of the stroke. Preliminary experiments involving a 3D phantom filled with brain tissue-mimicking liquid confirm the potential of the technology in imaging a spherical target mimicking a stroke of a radius equal to 1.25 cm.
31 January 2012 in IEEE Transactions on Antennas and Propagation
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Journal Article
Closed access
LCLorenzo Crocco
Lorenzo Crocco
ICIlaria Catapano
Ilaria Catapano
LDLoreto Di Donato
Loreto Di Donato
TITommaso Isernia
Tommaso Isernia
The linear sampling method (LSM) is a simple and effective approach to image the shape of unknown targets via the solution of a linear inverse problem. In this paper, we show that the LSM can also be exploited to devise a novel effective approximation of the scattering phenomenon, that leads to a new noniterative linear inversion method for the estimation of the target's electric contrast. Since the introduced approximation relies on the broad applicability of the LSM, the proposed inversion method is suitable to tackle inverse scattering problems involving nonweak scatterers. As such, it represents an innovative, yet effective, way to tackle quantitative imaging. Examples with numerical and experimental data are given to show the performance of the approach. In particular, results obtained with Fresnel data-sets show that the proposed method is capable of successfully imaging targets which have been so far processed using nonlinear iterative schemes and taking advantage of frequency diversity.
3 October 2008 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
ICIlaria Catapano
Ilaria Catapano
LCLorenzo Crocco
Lorenzo Crocco
TITommaso Isernia
Tommaso Isernia
This paper addresses the problem of reconstructing geometrical features of 3-D targets embedded into a nonaccessible region from multiview multistatic scattered field data. Sampling methods (SM) are simple and computationally effective approaches to pursue this task. However, their implementation requires a large number of multipolarization sources and probes. Moreover, their performances are often unsatisfactory for aspect-limited measurement configurations and lossy media. In order to tackle these drawbacks, usually faced in subsurface imaging, we propose a simplified and improved formulation based on the physical interpretation of SM. In particular, such a formulation relies on a small number of single polarization probes and exploits multifrequency data, for the first time in the framework of SM. The performances of the resulting approach are verified by monitoring 3-D regions of large extent.