Towards an optical biopsy during visceral surgical interventions
Background: Cancer will replace cardiovascular diseases as the most frequent cause of
death. Therefore, the goals of cancer treatment are prevention strategies and early detection …
death. Therefore, the goals of cancer treatment are prevention strategies and early detection …
Ultrasound shear wave elasticity imaging with spatio-temporal deep learning
Ultrasound shear wave elasticity imaging is a valuable tool for quantifying the elastic
properties of tissue. Typically, the shear wave velocity is derived and mapped to an elasticity …
properties of tissue. Typically, the shear wave velocity is derived and mapped to an elasticity …
Deep Learning for High Speed Optical Coherence Elastography with a Fiber Scanning Endoscope
M Neidhardt, S Latus, T Eixmann… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation
or via clinical imaging systems, eg, ultrasound or magnetic resonance imaging. Typically …
or via clinical imaging systems, eg, ultrasound or magnetic resonance imaging. Typically …
Rupture detection during needle insertion using complex oct data and cnns
Objective: Soft tissue deformation and ruptures complicate needle placement. However,
ruptures at tissue interfaces also contain information which helps physicians to navigate …
ruptures at tissue interfaces also contain information which helps physicians to navigate …
A Miniature Dual-Fiber Probe for Quantitative Optical Coherence Elastography
Objective: Optical coherence elastography (OCE) allows for high resolution analysis of
elastic tissue properties. However, due to the limited penetration of light into tissue …
elastic tissue properties. However, due to the limited penetration of light into tissue …
4D deep learning for real-time volumetric optical coherence elastography
Purpose Elasticity of soft tissue provides valuable information to physicians during treatment
and diagnosis of diseases. A number of approaches have been proposed to estimate tissue …
and diagnosis of diseases. A number of approaches have been proposed to estimate tissue …
A novel optical needle probe for deep learning-based tissue elasticity characterization
The distinction between malignant and benign tumors is essential to the treatment of cancer.
The tissue's elasticity can be used as an indicator for the required tissue characterization …
The tissue's elasticity can be used as an indicator for the required tissue characterization …
Deep learning for high speed optical coherence elastography
Mechanical properties of tissue provide valuable information for identifying lesions. One
approach to obtain quantitative estimates of elastic properties is shear wave elastography …
approach to obtain quantitative estimates of elastic properties is shear wave elastography …
Needle tip force estimation by deep learning from raw spectral OCT data
M Gromniak, N Gessert, T Saathoff… - International journal of …, 2020 - Springer
Purpose Needle placement is a challenging problem for applications such as biopsy or
brachytherapy. Tip force sensing can provide valuable feedback for needle navigation …
brachytherapy. Tip force sensing can provide valuable feedback for needle navigation …
[PDF][PDF] Analysis of ultrasound and optical coherence tomography for markerless volumetric image guidance in robotic radiosurgery
M Schlüter - 2021 - tore.tuhh.de
This thesis analyzes different aspects of image guidance in robotic radiosurgery considering
the modalities ultrasound imaging and optical coherence tomography (OCT). Robotic …
the modalities ultrasound imaging and optical coherence tomography (OCT). Robotic …