6 documents found, page 1 of 1
In Vivo Measurements of Murine Melanoma's Complex Permittivity Between 500 MHz ...
Pelicano, Ana Catarina; Gaspar, Maria Manuela; Reis, Catarina P.; Araújo, Nuno A. M.; Conceição, Raquel C.; Godinho, Daniela M.Complex permittivity measurements of murine melanoma tumours were performed via open-ended coaxial probe technique for frequencies ranging from 500 MHz to 8.5 GHz. The measurements were conducted in five mice containing a melanoma tumour each, while the animals were under anaesthesia. Two different measurement methodologies were employed. Eighty-six in vivo measurements of melanoma’s permittivity were collected...
The Effect of Pressure of the Open-ended Coaxial Probe on the Measurement of Ex...
Pelicano, Ana Catarina; Araújo, Nuno A. M.; Godinho, Daniela M.; Conceição, Raquel C.The impact of increasing evenly spaced pressures, between 2.58 and 25.8 kPa, on dielectric data ranging from 0.5 to 8.5 GHz was studied using 1×1×1 cm3 and 2×2×2 cm3 of bovine liver and chicken muscle samples. Results show a reduction exceeding 15% in tissue dielectric properties as pressure increased, until a breaking point is reached, and the trend reversed. The initial decline of dielectric properties aligns...
Breast MRI Multi-Tumor Segmentation using 3D Region Growing
Pelicano, Ana Catarina; Godinho, Daniela M.; Gonçalves, Maria C. T.; Castela, Tiago; Orvalho, Maria Lurdes; Sencadas, Vitor; Sebastião, RaquelBreast tumor is one of the most prominent indicators for diagnosis of breast cancer. Magnetic Resonance Imaging (MRI) is a relevant imaging modality tool for breast cancer screening. Moreover, an accurate 3D segmentation of breast tumors from MRI scans plays a key role in the analysis of the disease. This paper presents a pipeline to automatically segment multiple tumors in breast MRI scans, following the metho...
Preliminary development of anatomically realistic breast tumor models for micro...
Pelicano, Ana Catarina; Araujo, Nuno A. M.; Conceicao, Raquel C.In this work, we present a preliminary study of three classifiers – Linear Discriminant Analysis (LDA), Support Vector Machines (SVMs) and k-Nearest Neighbors (kNN) – to differentiate between malignant and benign tumors extracted from Magnetic Resonance (MR) images, based on their morphological features. The dataset in this study comprises 24 tumors: 12 malignant and 12 benign. Twelve morphological features wer...
Development of 3D MRI-Based Anatomically Realistic Models of Breast Tissues and...
Pelicano, Ana Catarina; Gonçalves, Maria C. T.; Godinho, Daniela M.; Castela, Tiago; Orvalho, M. Lurdes; Araújo, Nuno A. M.; Porter, EmilyBreast cancer diagnosis using radar-based medical MicroWave Imaging (MWI) has been studied in recent years. Realistic numerical and physical models of the breast are needed for simulation and experimental testing of MWI prototypes. We aim to provide the scientific community with an online repository of multiple accurate realistic breast tissue models derived from Magnetic Resonance Imaging (MRI), including beni...
Development of a 3D Anthropomorphic Phantom Generator for Microwave Imaging App...
Pelicano, Ana Catarina; Conceição, Raquel C.The development of 3D anthropomorphic head and neck phantoms is of crucial and timely importance to explore novel imaging techniques, such as radar-based MicroWave Imaging (MWI), which have the potential to accurately diagnose Cervical Lymph Nodes (CLNs) in a neoadjuvant and non-invasive manner. We are motivated by a significant diagnostic blind-spot regarding mass screening of LNs in the case of head and neck ...