KEYWORDS: Image resolution, Imaging systems, Photoacoustic imaging, Monte Carlo methods, Photoacoustic microscopy, 3D photoacoustic microscopy, 3D image processing, Super resolution, Tissues, Acoustics
We proposed a fast three-dimensional (3D) structured illumination photoacoustic microscopy (PAM). In the conventional PAM systems, the optical and acoustical beams need mechanical scanning to cover the whole area of interest for imaging imposing constraint on imaging speed. Using sinusoidal fringe illumination resulted in interference from a pair of tilted plane waves of different directions; capturing the resultant acoustic signal via a transducer array helped to improve lateral resolution and speed of the system while not degrading the depth-of-field (DOF). The sinusoidal structured illumination helps in more complete capture of spatial frequency components, which could be approved through a mathematical model of the system. Capturing more frequency components, in turn, results in improved frequency bandwidth and thus lateral resolution of the system. Simulation results show 5.4 dB improvements in image quality, based on the peak signal-to-noise ratio compared with a conventional structure.
In this research we have proposed a new definition for three-dimensional (3-D) integral imaging resolution. The general
concept of two-dimensional (2-D) resolution used also for 3-D is failed to describe the 3-D resolvability completely.
Thus, the researches focused on resolution improvement in 3-D integral imaging systems, didn't investigate thoroughly
the effect of their method on the 3-D quality. The effect has only been shown on the 2-D resolution of each lateral reconstructed
image. The newly introduced 3-D resolution concept has been demonstrated based on ray patterns, the
cross-section between them and the sampling points. Consequently the effect of resulting sampling points in 3-D resolvability
has been discussed in different lateral planes. Simulations has been performed which confirm the theoretical
statements.
KEYWORDS: Image resolution, 3D image processing, Integral imaging, Frequency division multiplexing, Quantization, 3D displays, Numerical analysis, Imaging systems, 3D image reconstruction, Spatial frequencies
Integral imaging could be considered as one of the prospective methods for recording and displaying 3D images
based on its distinct features. Some of the most important challenges with this approach are the field of view
and resolution limitation. In this work we investigate using frequency division multiple access (FDMA) idea for
solving this problem. Simulation results show an increase of more than ten percent in the performance of the
3D reconstructed images using the proposed method.
KEYWORDS: Spatial frequencies, Image filtering, Principal component analysis, Modulation transfer functions, Amplitude modulation, Imaging systems, Signal to noise ratio, Phase modulation, 3D image processing, Modulation
In this paper we present a novel approach to generate images of extended depth of field (DOF) without compromising
the lateral resolution to support realization of three-dimensional imaging systems such as integral imaging.
In our approach in extending DOF, we take advantage of the spatial frequency spectrum of the object specific to
the task in hand. The pupil function is thus engineered in such a fashion that the modulation transfer function
(MTF) is maximized only in these selected spatial frequencies. We extract these high energy spatial frequencies
using PCA method. The advantage of our approach is illustrated using an amplitude modulation and a phase
modulation example. In these examples, we split the pupil filter and choose the optimum transmission/phase
value of each section in the filter in a way that the response of the system in all the DOF range as well as
spatial frequencies of interest is optimized. Consequently, we have optimized the DOF extension process with
blocking the minimum possible area in the pupil plane. This maximizes the output image quality (e.g. 10% DOF
improvement) compared to the existing methods where non-optimal blocking of the lens area may cause more
degradation in output image quality. Experimental results are presented to illustrate our proposed approach.
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