Holographic Projection of Brain Magnetic Resonance Data Based White and Gray matter Segmentation

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

doi:10.1364/translational.2020.jw3a.23

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…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][22][23][24][25][26][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%

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%

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

et al. 2020

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“…The laser is expanded and collimated by a CL (Biconvex f ¼ 150 mm) to illuminate the SLM window (HOLOEYE model PLUTO; resolution = 1920 Â 1080 pixels; pixel pitch = 8 μm). SLM provides a direct method for modulating the amplitude and/or the phase of the incident light through a 2-D array structure of discrete pixels according to the displayed pattern [37][38][39] (analogy to deformable mirror 40 ). A λ=2 wave plate is used to select the polarized light with respect to the slow axis of the SLM, since the SLM is a birefringent modulator.…”

Section: The Experimental Setupmentioning

confidence: 99%

Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal‐hydrotherapy: Ex‐vivo study

Abdelazeem

Hamdy

2022

Int J Imaging Syst Tech

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Hydrotherapy is a traditional clinical practice that has been widely used for pain relief. However, immersion in hot water influences skin's moisture and morphology. In this study, we investigate the physiological changes of ex-vivo chicken skin immersed in hot water (at 40 and 50 C) via monitoring the change in its absorption and scattering properties using the spatial frequency domain imaging (SFDI) technique. The procedure started by calculating the modulation transfer function of the proposed imaging system over a range of spatial frequencies using a high-resolution test target. Thereafter, structured illumination patterns at different spatial frequencies were projected onto the examined samples via a reflective phase-only spatial light modulator using transmission and reflection modes. The transmission and reflection images were recorded using a digital camera to reconstruct the optical absorption and scattering parameters. Such parameters were calculated using Kubelka-Munk and lookup table methods. For system validation, the optical properties of two kinds of milk (skimmed and full cream), as reference samples, were reconstructed using the proposed SFDI system in the reflection mode via lookup table method. The results revealed an increase in the scattering coefficient of the skin samples immersed in higher water temperature, while the absorption coefficient values were nearly the same. Furthermore, the obtained results were validated using Monte-Carlo method showing absolute errors that range from 0.004 to 0.057. In conclusion, the proposed system was presented to investigate the changes in ex-vivo skin properties under thermalhydrotherapy in the context of measured changes in optical parameters.

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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%

“…Holographic projection is considered as one of the most promising techniques for reconstructing high resolution 3D information of an object. From the medical point of view, it is regarded as an encouraging tool for reconstructing precise representation of organs’ anatomical structure [ 15 – 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: - Introductionmentioning

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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Holographic Projection of Brain Magnetic Resonance Data Based White and Gray matter Segmentation

Abstract: This study reports on a holographic projection system for brain tissue and its white and gray matter extracted from magnetic resonance data where computer-generated holograms are calculated and projected using a phase-only spatial light modulator.

Cited by 9 publications

References 3 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

Utilizing the spatial frequency domain imaging to investigate change in optical parameters of skin exposed to thermal‐hydrotherapy: Ex‐vivo study

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

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