A Novel Approach on Microwave Hyperthermia

Altintas, Gulsah; Akduman, İbrahim; Janjic, Aleksandar; Yilmaz, Tuba

doi:10.3390/diagnostics11030493

Cited by 13 publications

(10 citation statements)

References 24 publications

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“…In order to evaluate the effectiveness of the CNN-based antenna excitation optimization, a comparison was performed with the results obtained from look-up tables. For the linear antenna system, 2 phase values (ϕ 2 , ϕ 3 ) are varied to focus the energy to the target [29]. The HP distributions are calculated for all possible integer phase values (in degrees), and 360*360=129600 HP distributions are obtained.…”

Section: Resultsmentioning

confidence: 99%

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Microwave Antenna Excitation Optimization with Deep Learning For Breast Cancer Hyperthermia

Altıntaş¹,

Yasar²,

Uslu³

et al. 2022

Preprint

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<p>Microwave hyperthermia (MH) requires the effective calibration of the antenna excitations for selective focusing of the microwave energy to the target region with a nominal effect on the surrounding tissue. To this end, many different antenna calibration methods such as optimization techniques and lookup tables have been proposed in the literature. These optimization procedures, however, do not consider the whole nature of the electric field, which is a complex vector field, instead it is simplified to a real and scalar field component. Furthermore, most of the approaches in literature are system-specific, limiting the applicability of the proposed methods to specific configurations. In this paper, we propose an antenna excitation optimization scheme applicable to a variety of configurations and present the results of a Convolutional Neural Network (CNN) based approach for two different configurations. Data set for CNN training is collected by superposing the information obtained from individual antenna elements. The results of the CNN models outperform to look-up table results. The proposed approach is promising as the phase only optimization shows 27% and phase-power combined optimization shows 4% less hot spot-to-target energy ratio than look-up table results.</p>

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Section: Resultsmentioning

confidence: 99%

“…Consequently, 4 phase and 4 amplitude variables are defined. Please see [29] for a detailed explanation of the antenna configuration and excitation scheme. Among the 4 phase variables, one of them should be defined as a reference, ϕ 1 = 0, to obtain a unique phase set.…”

Section: A Antenna Systems and Numerical Test Bedmentioning

confidence: 99%

Microwave Antenna Excitation Optimization with Deep Learning For Breast Cancer Hyperthermia

Altıntaş¹,

Yasar²,

Uslu³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, to obtain a “true-real time” image, real-time US can be co-registered to previously acquired imaging modalities that better visualize the target lesion. Tracking systems showed promising results and have been validated mostly for RFA, MWA [ 64 ], and cryotherapy, showing an increased accuracy in needle placing, fewer needle repositionings, primary efficacy [ 65 , 66 ], and lower radiation dose [ 67 , 68 ].…”

Section: Imaging Modalitiesmentioning

confidence: 99%

Precision Imaging Guidance in the Era of Precision Oncology: An Update of Imaging Tools for Interventional Procedures

Floridi

Cellina

Irmici

et al. 2022

JCM

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Interventional oncology (IO) procedures have become extremely popular in interventional radiology (IR) and play an essential role in the diagnosis, treatment, and supportive care of oncologic patients through new and safe procedures. IR procedures can be divided into two main groups: vascular and non-vascular. Vascular approaches are mainly based on embolization and concomitant injection of chemotherapeutics directly into the tumor-feeding vessels. Percutaneous approaches are a type of non-vascular procedures and include percutaneous image-guided biopsies and different ablation techniques with radiofrequency, microwaves, cryoablation, and focused ultrasound. The use of these techniques requires precise imaging pretreatment planning and guidance that can be provided through different imaging techniques: ultrasound, computed tomography, cone-beam computed tomography, and magnetic resonance. These imaging modalities can be used alone or in combination, thanks to fusion imaging, to further improve the confidence of the operators and the efficacy and safety of the procedures. This article aims is to provide an overview of the available IO procedures based on clinical imaging guidance to develop a targeted and optimal approach to cancer patients.

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“…The symmetry offered by the

provides good coverage of the breast tissue. Linearly distributed applicator designs have also been proposed [ 18 , 21 , 22 ]; however, their application has not been appealing because they have low coverage due to the non-symmetrical geometry.…”

Section: Introductionmentioning

confidence: 99%

Rotationally Adjustable Hyperthermia Applicators: A Computational Comparative Study of Circular and Linear Array Applicators

2022

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Microwave breast hyperthermia (MH) aims to increase the temperature at the tumor location with minimal change in the healthy tissue. To this end, the specific absorption rate (SAR) inside the breast is optimized. The choice of the MH applicator design is important for a superior energy focus on the target. Although hyperthermia treatment planning (HTP) changes for every patient, the MH applicator is required to be effective for different breast models and tumor types. The linear applicator (LA) is one of the previously proposed applicator designs with linearly arranged antennas; however, it suffers from low focusing ability in certain breast regions due to its unsymmetrical geometrical features. In this paper, we propose to radially adjust the LA to obtain alternative excitation schemes without actually changing the applicator. Antipodal Vivaldi antennas were utilized, and the antenna excitations were optimized with particle swarm optimization (PSO). The comparison of the rotated and the fixed linear applicator, between 12-antenna circular and linear applicators, and finally, between a 24-antenna circular applicator are provided. Within the 12 rotation angles and two target locations that were analyzed, the 135° axially rotated linear applicator gave a 35% to 84% higher target-to-breast SAR ratio (TBRS) and a 21% to 28% higher target-to-breast temperature ratio (TBRT) than the fixed linear applicator. For the deep-seated target, the 135° rotated linear applicator had an 80% higher TBRS and a 59% higher TBRT than the 12-antenna circular applicator, while the results were comparable to the 24-antenna circular applicator.

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A Novel Approach on Microwave Hyperthermia

Cited by 13 publications

References 24 publications

Microwave Antenna Excitation Optimization with Deep Learning For Breast Cancer Hyperthermia

Microwave Antenna Excitation Optimization with Deep Learning For Breast Cancer Hyperthermia

Precision Imaging Guidance in the Era of Precision Oncology: An Update of Imaging Tools for Interventional Procedures

Rotationally Adjustable Hyperthermia Applicators: A Computational Comparative Study of Circular and Linear Array Applicators

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