Search
Now showing items 1-5 of 5
Studies on Kernel Based Edge Detection an Hyper Parameter Selection in Image Restoration and Diffuse Optical Image Reconstruction
(2018-05-25)
Computational imaging has been playing an important role in understanding and analysing the captured images. Both image segmentation and restoration has been in-tegral parts of computational imaging. The studies performed ...
Development of Novel Reconstruction Methods Based on l1--Minimization for Near Infrared Diffuse Optical Tomography
(2018-03-03)
Diffuse optical tomography uses near infrared (NIR) light as the probing media to recover the distributions of tissue optical properties. It has a potential to become an adjunct imaging modality for breast and brain imaging, ...
Development of Sparse Recovery Based Optimized Diffuse Optical and Photoacoustic Image Reconstruction Methods
(2018-01-11)
Diffuse optical tomography uses near infrared (NIR) light as the probing media to re-cover the distributions of tissue optical properties with an ability to provide functional information of the tissue under investigation. ...
Development and Validation of Analytical Models for Diffuse Fluorescence Spectroscopy/Imaging in Regular Geometries
(2018-03-15)
New advances in computational modeling and instrumentation in the past decade has enabled the use of electromagnetic radiation for non-invasive monitoring of the physio-logical state of biological tissues. The near infrared ...
Automated Selection of Hyper-Parameters in Diffuse Optical Tomographic Image Reconstruction
(2018-03-16)
Diffuse optical tomography is a promising imaging modality that provides functional information of the soft biological tissues, with prime imaging applications including breast and brain tissue in-vivo. This modality uses ...