A Statistical DOI Estimation Algorithm for a SiPM-Based Clinical SPECT Insert

نویسندگان

چکیده

A prototype clinical brain single-photon emission computed tomography (SPECT) insert has been designed for use in simultaneous SPECT/MRI. The system utilizes novel slit-slat collimators which, like pinhole collimators, suffers from parallax errors due to the large incident angle of photons. statistical algorithm developed determine depth-of-interaction (DOI) with a view improving image performance. importance DOI correction was demonstrated using Monte Carlo simulation. This simulation also indicated that four layers ( $3 \times 1.5\, \textrm {mm} + 3.5\, {mm}$ ) may be sufficient. improvement event localization on single detector before implementing full where some limitations close readout plane were observed. Nevertheless, enabled rejection poorly localized events improved resolution reconstructed line sources.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Collimator design for a clinical brain SPECT/MRI insert

The Institute of Nuclear Medicine, University College London, London, UK This project’s goal is to design a SPECT insert for a clinical MRI system for simultaneous brain SPECT/MR imaging. We assume the stationary SPECT insert will consist of two rings of ∼5x5-cm SiPM-based detectors insensitive to magnetic fields, with 0.8-mm intrinsic resolution. The maximum diameter is 44.5 cm, the minimum di...

متن کامل

Collimator design for a multipinhole brain SPECT insert for MRI.

PURPOSE Brain single photon emission computed tomography (SPECT) imaging is an important clinical tool, with unique tracers for studying neurological diseases. Nowadays, most commercial SPECT systems are combined with x-ray computed tomography (CT) in so-called SPECT/CT systems to obtain an anatomical background for the functional information. However, while CT images have a high spatial resolu...

متن کامل

A swift neural network-based algorithm for demand estimation in concrete moment-resisting buildings

Rapid evaluation of demand parameters of different types of  buildings is crucial for social restoration after damaging earthquakes. Previous studies proposed numerous methodologies to measure the performance of buildings for assessing the potential risk under the seismic hazard. However, time-consuming Nonlinear Response History Analysis (NRHA) barricaded implementing a prompt loss estimation ...

متن کامل

A Novel Algorithm for Rotor Speed Estimation of DFIGs Using Machine Active Power based MRAS Observer

This paper presents a new algorithm based on Model Reference Adaptive System (MRAS) and its stability analysis for sensorless control of Doubly-Fed Induction Generators (DFIGs). The reference and adjustable models of the suggested observer are based on the active power of the machine. A hysteresis block is used in the structure of the adaptation mechanism, and the stability analysis is performe...

متن کامل

Initial PET performance evaluation of a preclinical insert for PET/MRI with digital SiPM technology

Hyperion-II(D) is a positron emission tomography (PET) insert which allows simultaneous operation in a clinical magnetic resonance imaging (MRI) scanner. To read out the scintillation light of the employed lutetium yttrium orthosilicate crystal arrays with a pitch of 1 mm and 12 mm in height, digital silicon photomultipliers (DPC 3200-22, Philips Digital Photon Counting) (DPC) are used. The bas...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE transactions on radiation and plasma medical sciences

سال: 2022

ISSN: ['2469-7303', '2469-7311']

DOI: https://doi.org/10.1109/trpms.2022.3140411