16 Result(s)
within
Chapter
Daniel S. Elson
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Chapter and Conference Paper
Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive Cancer Surgery
In surgical oncology, it is challenging for surgeons to identify lymph nodes and completely resect cancer even with pre-operative imaging systems like PET and CT, because of the lack of reliable intraoperative...
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Chapter
Polarimetric Endoscopy
Routine endoscopy mainly detects colour information about tissue under white light illumination. The development of polarimetric endoscopes can extend the image contrast beyond colour to complement the informa...
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Chapter and Conference Paper
Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency
Depth estimation is a crucial step for image-guided intervention in robotic surgery and laparoscopic imaging system. Since per-pixel depth ground truth is difficult to acquire for laparoscopic image data, it i...
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Chapter and Conference Paper
Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Dense depth estimation and 3D reconstruction of a surgical scene are crucial steps in computer assisted surgery. Recent work has shown that depth estimation from a stereo image pair could be solved with convol...
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Chapter and Conference Paper
Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed
Multispectral imaging in laparoscopy can provide tissue reflectance measurements for each point in the image at multiple wavelengths of light. These reflectances encode information on important physiological p...
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Chapter and Conference Paper
Physiological Parameter Estimation from Multispectral Images Unleashed
Multispectral imaging in laparoscopy can provide tissue reflectance measurements for each point in the image at multiple wavelengths of light. These reflectances encode information on important physiological p...
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Chapter and Conference Paper
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Intra-operative measurements of tissue shape and multi/hyperspectral information have the potential to provide surgical guidance and decision making support. We report an optical probe based system to combine ...
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Chapter and Conference Paper
Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition
Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen saturation. Multispectral im...
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Chapter and Conference Paper
Inference of Tissue Haemoglobin Concentration from Stereo RGB
Multispectral imaging (MSI) can provide information about tissue oxygenation, perfusion and potentially function during surgery. In this paper we present a novel, near real-time technique for intrinsic measure...
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Chapter and Conference Paper
Probe-Based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks
Tissue surface shape and reflectance spectra provide rich intra-operative information useful in surgical guidance. We propose a hybrid system which displays an endoscopic image with a fast joint inspection of...
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Chapter and Conference Paper
Tissue Surface Reconstruction Aided by Local Normal Information Using a Self-calibrated Endoscopic Structured Light System
The tissue surface shape provides important information for both tissue pathology detection and augmented reality. Previously a miniaturised structured light (SL) illumination probe (1.9 mm diameter) has been ...
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Chapter and Conference Paper
Endoscopic Sheffield Index for Unsupervised In Vivo Spectral Band Selection
Endoscopic procedures provide important information about the internal patient anatomy but are currently restricted to a 2D texture analysis of the visible organ surfaces. Spectral imaging has high potential i...
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Chapter and Conference Paper
Surgical Imaging and Biophotonics
Surgical imaging describes the application of a broad range of imaging, vision and optical techniques to assist surgeons for intrasurgical decision making. Some of these techniques aim to replace current techn...
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Chapter and Conference Paper
Optimal Feature Selection Applied to Multispectral Fluorescence Imaging
Recent rapid developments in multi-modal optical imaging have created a significant clinical demand for its in vivo - in situ application. This offers the potential for real-time tissue characterization, function...
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Chapter and Conference Paper
Tissue Characterization Using Dimensionality Reduction and Fluorescence Imaging
Multidimensional fluorescence imaging is a powerful molecular imaging modality that is emerging as an important tool in the study of biological tissues. Due to the large volume of multi-spectral data associate...
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Chapter
Multidimensional Fluorescence Imaging Applied to Biological Tissue
Following the considerable impact of the application of convenient ultrafast lasers to multiphoton microscopy on biomedical imaging, it seems to us that FLIM and MDFI continue the trend in which advances in in...
