Tahira Ejaz - Academia.edu (original) (raw)

Tahira Ejaz

Nuclear Medicine specialist Doctor
Address: Islamabad, Islamabad Capital Territory, Pakistan

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Papers by Tahira Ejaz

Research paper thumbnail of Importance of Myocardial Perfusion Scintigraphy (MPS) for early detection of coronary artery disease in patients with positive family history of Premature CAD – Case study

Pakistan journal of nuclear medicine, 2022

Research paper thumbnail of Iterative tomographic image reconstruction by compressive sampling

2010 IEEE International Conference on Image Processing, 2010

... Adnan Hanif a, Atif Bin Mansoor a, Tahira Ejaz b ... 23, April 2004. [11] Zhou Wang, Alan C. ... more ... Adnan Hanif a, Atif Bin Mansoor a, Tahira Ejaz b ... 23, April 2004. [11] Zhou Wang, Alan C. Bovik,Hamid R. Sheikh, and Eero P. Simoncelli, “Image quality assessment: From error measurement to structural similarity,” IEEE Trans-actions on Image Processing, vol. ...

Research paper thumbnail of A new approach to radionuclide imaging using compressed sensing

The Imaging Science Journal, Jul 1, 2013

Research paper thumbnail of Iterative tomographic image reconstruction by compressive sampling

2010 IEEE International Conference on Image Processing, 2010

Positron Emission Tomography (PET) and Single Photon Emission Computerized Tomography (SPECT) are... more Positron Emission Tomography (PET) and Single Photon Emission Computerized Tomography (SPECT) are essential medical imaging tools with inherent drawback of slow data acquisition process. With the knowledge that radionuclide images are sparse in transform domain, we have applied a novel concept of Compressive Sampling on them. The proposed approach aims to reconstruct images from fewer measurements than traditionally employed, significantly reducing scan time and radiopharmaceutical doze, with benefits for patients and health care economics. The reconstruction of tomographic images is realized by compressed sensing the 2-D Fourier projections. These 2-D projections being sparse in transform domain are sensed with fewer samples in k-space and are reconstructed without loss of fidelity. These undersampled Fourier projections can then be backprojected by employing the iterative reconstruction approach for a complete 3-D volume. Our work focuses on the acquisition of 2-D SPECT/PET projections based on compressive sampling and their reconstruction using a non-linear recovery algorithm. Compressive sampling of a phantom image and PET bone scan scintigraph with radial Fourier samples are performed. The reconstructions of these images are compared to conventionally sampled images with MSE, PSNR and a new image quality measure, Structure SIMilarity (SSIM). The results show high quality image reconstruction using considerably few measurements.

Research paper thumbnail of Importance of Myocardial Perfusion Scintigraphy (MPS) for early detection of coronary artery disease in patients with positive family history of Premature CAD – Case study

Pakistan journal of nuclear medicine, 2022

Research paper thumbnail of Iterative tomographic image reconstruction by compressive sampling

2010 IEEE International Conference on Image Processing, 2010

... Adnan Hanif a, Atif Bin Mansoor a, Tahira Ejaz b ... 23, April 2004. [11] Zhou Wang, Alan C. ... more ... Adnan Hanif a, Atif Bin Mansoor a, Tahira Ejaz b ... 23, April 2004. [11] Zhou Wang, Alan C. Bovik,Hamid R. Sheikh, and Eero P. Simoncelli, “Image quality assessment: From error measurement to structural similarity,” IEEE Trans-actions on Image Processing, vol. ...

Research paper thumbnail of A new approach to radionuclide imaging using compressed sensing

The Imaging Science Journal, Jul 1, 2013

Research paper thumbnail of Iterative tomographic image reconstruction by compressive sampling

2010 IEEE International Conference on Image Processing, 2010

Positron Emission Tomography (PET) and Single Photon Emission Computerized Tomography (SPECT) are... more Positron Emission Tomography (PET) and Single Photon Emission Computerized Tomography (SPECT) are essential medical imaging tools with inherent drawback of slow data acquisition process. With the knowledge that radionuclide images are sparse in transform domain, we have applied a novel concept of Compressive Sampling on them. The proposed approach aims to reconstruct images from fewer measurements than traditionally employed, significantly reducing scan time and radiopharmaceutical doze, with benefits for patients and health care economics. The reconstruction of tomographic images is realized by compressed sensing the 2-D Fourier projections. These 2-D projections being sparse in transform domain are sensed with fewer samples in k-space and are reconstructed without loss of fidelity. These undersampled Fourier projections can then be backprojected by employing the iterative reconstruction approach for a complete 3-D volume. Our work focuses on the acquisition of 2-D SPECT/PET projections based on compressive sampling and their reconstruction using a non-linear recovery algorithm. Compressive sampling of a phantom image and PET bone scan scintigraph with radial Fourier samples are performed. The reconstructions of these images are compared to conventionally sampled images with MSE, PSNR and a new image quality measure, Structure SIMilarity (SSIM). The results show high quality image reconstruction using considerably few measurements.

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