Compact ultrasound-guided diffuse optical tomography system for breast cancer imaging

Near-infrared diffuse optical tomography (DOT) has demonstrated a great potential as an adjunct modality for differentiation of malignant and benign breast lesions and for monitoring treatment response in patients with locally advanced breast cancers. The path toward commercialization of DOT techniques depends upon the improvement of robustness and user-friendliness of this technique in hardware and software. In this study, we introduce our recently developed ultrasound-guided DOT system, which has been improved in system compactness, robustness, and user-friendliness by custom-designed electronics, automated data preprocessing, and implementation of a new two-step reconstruction algorithm. The system performance has been tested with several sets of solid and blood phantoms and the results show accuracy in reconstructed absorption coefficients as well as blood oxygen saturation. A clinical example of a breast cancer patient, who was undergoing neoadjuvant chemotherapy, is given to demonstrate the system performance.

Medienart:

E-Artikel

Erscheinungsjahr:

2018

Erschienen:

2018

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

Journal of biomedical optics - 24(2018), 2 vom: 03. Okt., Seite 1-9

Sprache:

Englisch

Beteiligte Personen:

Vavadi, Hamed [VerfasserIn]
Mostafa, Atahar [VerfasserIn]
Zhou, Feifei [VerfasserIn]
Uddin, K M Shihab [VerfasserIn]
Althobaiti, Murad [VerfasserIn]
Xu, Chen [VerfasserIn]
Bansal, Rajeev [VerfasserIn]
Ademuyiwa, Foluso [VerfasserIn]
Poplack, Steven [VerfasserIn]
Zhu, Quing [VerfasserIn]

Links:

Volltext

Themen:

Diffuse optical tomography
Imaging reconstruction
Journal Article
Near-infrared instrument
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Ultrasound

Anmerkungen:

Date Completed 24.02.2020

Date Revised 08.04.2022

published: Print

Citation Status MEDLINE

doi:

10.1117/1.JBO.24.2.021203

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM289848520