Abstract
In this paper, we discuss the design study for a brain SPECT imaging system, referred to as the HelmetSPECT system, based on a spherical synthetic compound-eye (SCE) gamma camera design. The design utilizes a large number ( 500) of semiconductor detector modules, each coupled to an aperture with a very narrow opening for high-resolution SPECT imaging applications. In this study, we demonstrate that this novel system design could provide an excellent spatial resolution, a very high sensitivity, and a rich angular sampling without scanning motion over a clinically relevant field-of-view (FOV). These properties make the proposed HelmetSPECT system attractive for dynamic imaging of epileptic patients during seizures. In ictal SPECT, there is typically no prior information on where the seizures would happen, and both the imaging resolution and quantitative accuracy of the dynamic SPECT images would provide critical information for staging the seizures outbreak and refining the plans for subsequent surgical intervention. We report the performance evaluation and comparison among similar system geometries using non-conventional apertures, such as micro-ring and micro-slit, and traditional lofthole apertures. We demonstrate that the combination of ultrahigh-resolution imaging detectors, the SCE gamma camera design, and the micro-ring and micro-slit apertures would offer an interesting approach for the future ultrahigh-resolution clinical SPECT imaging systems without sacrificing system sensitivity and FOV.
Original language | English (US) |
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Pages (from-to) | 3711-3727 |
Number of pages | 17 |
Journal | IEEE transactions on medical imaging |
Volume | 40 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1 2021 |
Keywords
- Apertures
- brain SPECT
- Cameras
- Collimators
- compound-eye camera
- Detectors
- gamma camera design
- Imaging
- multi-pinhole
- Single photon emission computed tomography
- solid-state detectors
- Spatial resolution
- Brain SPECT
ASJC Scopus subject areas
- Software
- Radiological and Ultrasound Technology
- Electrical and Electronic Engineering
- Computer Science Applications