Name
Title | ||
|---|---|---|
Automatic image detection of Halloysite clay Nanotubes as a future ultrasound theranostic agent for tumoral cell targeting and treatment |
Abstract | ||
|---|---|---|
Halloysite clay Nanotubes (HNTs) are nanomaterials composed of double layered aluminosilicate minerals with a hollow tubular structure in the submicron range. They are characterized by a wide range of applications in anticancer therapy as agent delivery. In this work we aim to investigate the automatic detection features of HNTs through advanced quantitative ultrasound imaging employing different concentrations (3-5 mg/mL) at clinical conventional frequency, i.e. 7 MHz. Different tissue mimicking samples of HNT containing agarose gel were imaged through a commercially available echographic system, that was opportunely combined with ultrasound signal analysis research platform for extracting the raw ultrasound radiofrequency (RF) signals. Acquired data were stored and analyzed by means of an in-house developed algorithm based on wavelet decomposition, in order to identify the specific spectrum contribution of the HNTs and generate corresponding image mapping. Sensitivity and specificity of the HNT detection were quantified. Average specificity (94.36%) was very high with reduced dependency on HNT concentration, while sensitivity showed a proportional increase with concentration with an average of 46.78%. However, automatic detection performances are currently under investigation for further improvement taking into account image enhancement and biocompatibility issues. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/I2MTC.2014.6860878 | Instrumentation and Measurement Technology Conference |
Keywords | Field | DocType |
biomedical ultrasonics,cancer,image enhancement,medical image processing,nanomedicine,nanotubes,patient treatment,tumours,hnt,halloysite clay nanotube,agarose gel,agent delivery,anticancer therapy,automatic image detection,biocompatibility issue,double layered aluminosilicate mineral,echographic system,hollow tubular structure,image mapping,in-house developed algorithm,nanomaterial,quantitative ultrasound imaging,raw ultrasound radiofrequency signal,specific spectrum contribution,tumoral cell targeting,tumoral cell treatment,ultrasound signal analysis,ultrasound theranostic agent,wavelet decomposition,biomedical signal processing,cancer detection,cell targeting,drug delivery,halloysite nanotubes,molecular imaging,nanoparticles,theranostics,tissue typing,biomedical imaging,feature extraction,radio frequency | Biomedical engineering,Molecular imaging,Nanotechnology,Halloysite,Image detection,Cancer detection,Cell,Engineering,Drug delivery,Ultrasound | Conference |
Citations | PageRank | References |
1 | 0.35 | 2 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| sergio casciaro | 1 | 1 | 0.35 |
| giulia soloperto | 2 | 1 | 0.35 |
| francesco conversano | 3 | 1 | 0.35 |
| ernesto casciaro | 4 | 1 | 0.35 |
| alberto greco | 5 | 1 | 0.35 |
| stefano leporatti | 6 | 1 | 0.35 |
| Aime Lay-Ekuakille | 7 | 7 | 3.47 |
| giuseppe gigli | 8 | 1 | 0.69 |