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Glaucomatous vertical vessel density asymmetry of the temporal raphe detected with optical coherence tomography angiography.
Changes in retinal vasculature and ocular circulation may play an important role in the glaucoma development and progression. We evaluated the vertical asymmetry across the temporal raphe of the deep retinal layer vessel density, using swept-source optical coherence tomography angiography (SS-OCTA), and its relationship with the central visual field (VF) loss. Thirty-four eyes of 27 patients with open-angle glaucoma were included. SS-OCTA macular scanning was performed within a 3 × 3 mm (300 × 300 pixels) volume, centred on the fovea. The relationships between the vertical asymmetrical deep retinal vessel density reduction (ADRVD) across the temporal raphe and various ocular parameters were analysed. Twenty-two glaucomatous eyes with ADRVDs had central VF loss. Contrarily, ADRVDs were not found in any of the 12 eyes without central VF loss. Thirteen eyes (59.1%) with central VF loss had ADRVDs topographically corresponding to the central VF loss and macular ganglion cell complex thinning. The glaucomatous eyes with ADRVDs exhibited inferior rather than superior central VF loss (P = 0.032). Thus, ADRVD specifically indicates the glaucomatous central visual loss. Further analysis of ADRVD may improve our understanding on glaucoma pathogenesis, offering new treatment insights
CT dose reduction factors in the thousands using X-ray phase contrast
Phase-contrast X-ray imaging can improve the visibility of weakly absorbing
objects (e.g. soft tissues) by an order of magnitude or more compared to
conventional radiographs. Previously, it has been shown that combining phase
retrieval with computed tomography (CT) can increase the signal-to-noise ratio
(SNR) by up to two orders of magnitude over conventional CT at the same
radiation dose, without loss of image quality. Our experiments reveal that as
radiation dose decreases, the relative improvement in SNR increases. We
discovered this enhancement can be traded for a reduction in dose greater than
the square of the gain in SNR. Upon reducing the dose 300 fold, the
phase-retrieved SNR was still almost 10 times larger than the absorption
contrast data. This reveals the potential for dose reduction factors in the
tens of thousands without loss in image quality, which would have a profound
impact on medical and industrial imaging applications
The Discrete radon transform: A more efficient approach to image reconstruction
The Radon transform and its inversion are the mathematical keys that enable tomography. Radon transforms are defined for continuous objects with continuous projections at all angles in [0,Ï€). In practice, however, we pre-filter discrete projections take
PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities
We present the PyHST2 code which is in service at ESRF for phase-contrast and
absorption tomography. This code has been engineered to sustain the high data
flow typical of the third generation synchrotron facilities (10 terabytes per
experiment) by adopting a distributed and pipelined architecture. The code
implements, beside a default filtered backprojection reconstruction, iterative
reconstruction techniques with a-priori knowledge. These latter are used to
improve the reconstruction quality or in order to reduce the required data
volume and reach a given quality goal. The implemented a-priori knowledge
techniques are based on the total variation penalisation and a new recently
found convex functional which is based on overlapping patches.
We give details of the different methods and their implementations while the
code is distributed under free license.
We provide methods for estimating, in the absence of ground-truth data, the
optimal parameters values for a-priori techniques
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