Three-Dimensional Holographic Reconstruction of Brain Tissue Based on Convolution Propagation

Abdelazeem, Rania M.; Youssef, Doaa; El-Azab, Jala; Hassab-Elnaby, Salah; Agour, Mostafa

doi:10.1088/1742-6596/1472/1/012008

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…Holographic projection is a method that provides three-dimensional (3D) information about an object without the need for special eyewear. Unlike the existing traditional photography that evaluates only the intensity distribution of a test object, computer-generated hologram (CGH) has been generated to permit direct access of both intensity and phase of the object field providing the complete 3D information [ 12 – 16 ]. Despite the generated CGH is a 2D distribution, it encodes the 3D information of the object [ 15 – 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the diffraction theory, the calculated 2D CGH can be encoded in different ways for effective optical reconstruction to provide the complete 3D information of the recorded object. Commonly, SLMs had been used to reconstruct CGHs in real-time to get the original object floating in the air or displayed on a screen [ 21 – 27 ]. SLMs are dynamic devices that provide a direct method for manipulating the incident light by means of the displayed CGH.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike the existing traditional photography that evaluates only the intensity distribution of a test object, computergenerated hologram (CGH) has been generated to permit direct access of both intensity and phase of the object field providing the complete 3D information [12][13][14][15][16]. Despite the generated CGH is a 2D distribution, it encodes the 3D information of the object [15][16][17][18][19][20]. Based on the diffraction theory, the calculated 2D CGH can be encoded in different ways for effective optical reconstruction to provide the complete 3D information of the recorded object.…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional visualization of brain tumor progression based accurate segmentation via comparative holographic projection

et al. 2020

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We propose a new optical method based on comparative holographic projection for visual comparison between two abnormal follow-up magnetic resonance (MR) exams of glioblastoma patients to effectively visualize and assess tumor progression. First, the brain tissue and tumor areas are segmented from the MR exams using the fast marching method (FMM). The FMM approach is implemented on a computed pixel weight matrix based on an automated selection of a set of initialized target points. Thereafter, the associated phase holograms are calculated for the segmented structures based on an adaptive iterative Fourier transform algorithm (AIFTA). Within this approach, a spatial multiplexing is applied to reduce the speckle noise. Furthermore, hologram modulation is performed to represent two different reconstruction schemes. In both schemes, all calculated holograms are superimposed into a single two-dimensional (2D) hologram which is then displayed on a reflective phase-only spatial light modulator (SLM) for optical reconstruction. The optical reconstruction of the first scheme displays a 3D map of the tumor allowing to visualize the volume of the tumor after treatment and at the progression. Whereas, the second scheme displays the follow-up exams in a side-by-side mode highlighting tumor areas, so the assessment of each case can be fast achieved. The proposed system can be used as a valuable tool for interpretation and assessment of the tumor progression with respect to the treatment method providing an improvement in diagnosis and treatment planning.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Three-dimensional visualization of brain tumor progression based accurate segmentation via comparative holographic projection

et al. 2020

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“…anatomical structure [15][16][17][18]. Computer-generated holograms (CGHs) allow direct access to both the intensity and the phase of an object to provide a complete 3D information of it [19].…”

Section: Plos Onementioning

confidence: 99%

Discrimination between normal and cancer white blood cells using holographic projection technique

Abdelazeem

Ibrahim²

2022

PLoS ONE

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White blood cells (WBCs) play a vital role in the diagnosis of many blood diseases. Such diagnosis is based on the morphological analysis of blood microscopic images which is performed manually by skilled hematologist. However, this method has many drawbacks, such as the dependence on the hematologist’s skill, slow performance, and varying accuracy. Therefore, in the current study, a new optical method for discrimination between normal and cancer WBCs of peripheral blood film (PBF) images is presented. This method is based on holographic projection technique which is able to provide an accurate and fast optical reconstruction method of WBCs floating in the air. Besides, it can provide a 3D visualization map of one WBC with its characterization parameters from only a single 2D hologram. To achieve that, at first, WBCs are accurately segmented from the microscopic PBF images using a developed in-house MATLAB code. Then, their associated phase computer-generated holograms (CGHs) are calculated using the well-known iterative Fourier transform algorithm (IFTA). Within the utilized algorithm, a speckle noise reduction technique, based on temporal multiplexing of spatial frequencies, is applied to minimize the speckle noise across the reconstruction plane. Additionally, a special hologram modulation is added to the calculated holograms to provide a 3D visualization map of one WBC, and discriminate normal and cancer WBCs. Finally, the calculated phase-holograms are uploaded on a phase-only spatial light modulator (SLM) for optical reconstruction. The optical reconstruction of such phase-holograms yields precise representation of normal and cancer WBCs. Moreover, a 3D visualization map of one WBC with its characterization parameters is provided. Therefore, the proposed technique can be used as a valuable tool for interpretation and analysis of WBCs, this in turn could provide an improvement in diagnosis and prognosis of blood diseases.

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“…3 SLMs have been used in various applications such as beam shaping, 4 spatial frequency domain imaging, 5,6 quantitative phase imaging, 7, 8 optical metrology, 9 3D holographic display, 10,11 and holographic projection. [12][13][14][15] SLM should be calibrated for different wavelengths to avoid the non-linear mapping of voltage (gray levels) into phase values. The previously proposed calibration methods assumed that the SLM has a spatial uniform phase.…”

Section: Introductionmentioning

confidence: 99%

Improving the phase modulation of spatial light modulator using Shack-Hartmann wavefront sensor

Abdelazeem¹,

Ahmed²,

Hassab-Elnaby³

et al. 2023

Optical Measurement Systems for Industrial Inspection XIII

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A phase-only spatial light modulator (SLM) is a device that is commonly used in various optical applications. Generally, SLM offers great advantages such as low power consumption and compact design. However, due to the manufacturing process, the main drawbacks of the SLM are surface non-uniformity and cross-talk between adjacent pixels, which add undesirable phase modulation. As a result, the SLM's functionality is impacted, leading to image quality degradation, in terms of the signal-to-noise ratio (SNR), of optical reconstruction in holographic projection, for instance. Therefore, the aim of the current study is to measure and compensate for the surface non-uniformities of the SLM and improve its phase modulation. To achieve this, Shack-Hartmann wavefront sensor (SHWFS) is utilized. At first, a flat constant phase pattern is displayed on the SLM, and its surface phase shape is measured using a plane wave illumination. The reflected wavefront from the SLM is measured using SHWFS and then its phase information has been calculated. Hence, the calculated phase values are converted into a phase-only computer-generated hologram (CGH). The calculated CGH is displayed on the phase-only SLM to compensate for the phase errors of the SLM. The reflected wavefront has been measured after displaying the CGH to evaluate the compensation process. The experimental results reveal that the SHWFS provides high accuracy in the measurement of the phase distortion introduced by the surface of SLM. The SHWFS method is simple, robust, offers real-time performance, and is vibration-insensitive when compared with interferometric approaches.

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Three-Dimensional Holographic Reconstruction of Brain Tissue Based on Convolution Propagation

Cited by 6 publications

References 10 publications

Three-dimensional visualization of brain tumor progression based accurate segmentation via comparative holographic projection

Three-dimensional visualization of brain tumor progression based accurate segmentation via comparative holographic projection

Discrimination between normal and cancer white blood cells using holographic projection technique

Improving the phase modulation of spatial light modulator using Shack-Hartmann wavefront sensor

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