Related Experiment Video
Updated: Apr 27, 2026

05:32
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
Published on: February 21, 2025
746
PET reconstruction artifact can be minimized by using sinogram correction and filtered back-projection technique
Ashish Kumar Jha1, Nilendu C Purandare1, Sneha Shah1
1Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Parel, Mumbai, Maharashtra, India.
The Indian Journal of Radiology & Imaging
|July 16, 2014
Summary
Filtered Back-Projection (FBP) image reconstruction outperformed iterative methods on a compromised positron emission tomography (PET) scanner. FBP minimized streak artifacts when one PET module was bypassed, offering better image quality in specific clinical scenarios.
Area of Science:
- Medical Imaging
- Radiological Physics
Background:
- New-generation positron emission tomography (PET)/computed tomography (CT) scanners primarily utilize iterative reconstruction techniques.
- Filtered Back-Projection (FBP) is an older, less common image reconstruction method.
Purpose of the Study:
- To evaluate image reconstruction techniques for a compromised PET scanner with a bypassed module.
- To determine the optimal method for minimizing streak artifacts in such a scenario.
Main Methods:
- Comparison of Filtered Back-Projection (FBP) with iterative reconstruction.
- Acquisition using a PET scanner with one module bypassed.
- Application of sinogram correction with FBP.
Main Results:
- FBP with sinogram correction proved superior in minimizing streak artifacts compared to iterative techniques.
- Iterative reconstruction resulted in more pronounced streak artifacts on the compromised PET data.
Conclusions:
- In specific situations with compromised PET scanners (e.g., bypassed module), FBP with sinogram correction can be a more effective reconstruction technique.
- This finding is relevant for maintaining diagnostic image quality under non-ideal scanner conditions.
Related Concept Videos
Reconstruction of Signal using Interpolation
918
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
918
Aliasing
942
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
942

