Spectral image reconstruction for transcranial ultrasound measurement
نویسندگان
چکیده
منابع مشابه
Spectral Clustering Algorithms for Ultrasound Image Segmentation
Image segmentation algorithms derived from spectral clustering analysis rely on the eigenvectors of the Laplacian of a weighted graph obtained from the image. The NCut criterion was previously used for image segmentation in supervised manner. We derive a new strategy for unsupervised image segmentation. This article describes an initial investigation to determine the suitability of such segment...
متن کاملMathematical methods for spectral image reconstruction
We present a method for recovery of damaged parts of old paintings (frescoes), caused by degradation of the pigments contained in the paint layer. The original visible colour information in the damaged parts can be faithfully recovered from measurements of absorption spectra in the invisible region (IR and UV) and from the full spectral data of the well preserved parts of the image. We use the ...
متن کاملSynthetic Aperture Ultrasound Image Reconstruction
In this paper real data was used to test the utility of synthetic aperture (SA) ultrasound imaging to overcome the limitation of conventional ultrasound image which include decreasing the frame rate and single transmit focusing. The images are reconstructed by using different types of transmission and used to test the effect of signal to noise ratio (SNR). The results show that increasing the n...
متن کاملAdaptive Measurement Network for CS Image Reconstruction
Conventional compressive sensing (CS) reconstruction is very slow for its characteristic of solving an optimization problem. Convolutional neural network can realize fast processing while achieving comparable results. While CS image recovery with high quality not only depends on good reconstruction algorithms, but also good measurements. In this paper, we propose an adaptive measurement network...
متن کاملMultiscale Photon-Limited Spectral Image Reconstruction
This paper studies photon-limited spectral intensity estimation and proposes a spatially and spectrally adaptive, nonparametric method for estimating spectral intensities from Poisson observations. Specifically, our method searches through estimates defined over a family of recursive dyadic partitions in both the spatial and spectral domains, and finds the one that maximizes a penalized log lik...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physics in Medicine and Biology
سال: 2005
ISSN: 0031-9155,1361-6560
DOI: 10.1088/0031-9155/50/23/010