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US Patent
Robotic System for SPECT Imaging
Inventors: Mohammad Reza Ay, Mohammad Hossein Farahani, Saeed Sarkar, Behnoosh Teimourian Fard, Salar Sajedi Toighoun, Sanaz Kaviani 
 
Abstract: 
A robotic arm, movable in three rotational degrees of freedom has a base end and a distal end supporting SPECT imaging detectors. A patient support assembly is movable in a linear degree of freedom. A controller causes the robotic arm to move the SPECT imaging detectors, in three dimensions, around the patient.s body to obtain SPECT images. The control causes the patient support assembly to move along the linear degree of freedom, maintaining alignment of the patient.s body with the SPECT imaging detectors. Read more...

 
US Patent
Desktop open-gantry SPECT imaging system
Inventors: Navid Zeraatkar, Mohammad Hossein Farahani, Mohammad Reza Ay, Saeed Sarkar 
 
Abstract:
An open-gantry structure of SPECT imaging system for scanning human small organs or small animals and method for preparing the system is disclosed. The system contains an imaging desk that one or multiple detector heads are rotated around the object to be scanned while tilted under the imaging desk and dedicated image reconstruction algorithm was developed for the system in case of applying single pinhole collimator.Read more...

 
US Patent
Processing architecture for high count rate spectrometry with Nal(TL) detector 
 
Inventors: Mohammad Hossein Farahani, Salar Sajedi Toighoun, Mohammad Reza Ay, Saeed Sarkar 
 
Abstract: A new system and method for medical image processing using a nonlinear recursive filter are disclosed. An input signal including two or more pulses received from a medical imaging system is sampled at a predetermined sampling rate. The maximum magnitude, i.e., peak, and/or the occurrence time of the maximum magnitude of the first pulse of the input signal is/are determined using a nonlinear recursive filter. Predicted magnitude values of the tail of the first pulse can be determined and subtracted from the input signal to correct for pileup before determining the maximum magnitude and/or occurrence time of the next pulses. A medical image can be reconstructed using the determined maximum magnitudes and/or the occurrence times of the maximum magnitudes of the pulses of the input signal. The nonlinear recursive filter can be implemented using one or more look-up tables. Read more...
 

Iranian Patent
A novel non-linear recursive filter design for extracting high rate pulse features in nuclear medicine imaging
 
Inventors: Mohammad Reza Ay, Mohammad Hossein Farahani, Afshin Akbarzadeh, Behnoosh Teimourian Fard, Salar Sajedi Toighoun, Navid Zeraatkar                                                 
 
Abstract:Applications in imaging and spectroscopy rely on pulse processing methods for appropriate data generation. Often, the particular method utilized does not highly impact data quality, whereas in some scenarios, such as in the presence of high count rates or high frequency pulses, this issue merits extra consideration.
In the present study, a new approach for pulse processing in nuclear medicine imaging and spectroscopy is introduced and evaluated. The new non-linear recursive filter (NLRF) performs nonlinear processing of the input signal and extracts the main pulse characteristics, having the powerful ability to recover pulses that would ordinarily result in pulse pile-up. The filter design defines sampling frequencies lower than the Nyquist frequency.
In the literature, for systems involving NaI(Tl) detectors and photomultiplier tubes (PMTs), with a signal bandwidth considered as 15 MHz, the sampling frequency should be at least 30 MHz (the Nyquist rate), whereas in the present work, a sampling rate of 3.3 MHz was shown to yield very promising results. This was obtained by exploiting the known shape feature instead of utilizing a general sampling algorithm. The simulation and experimental results show that the proposed filter enhances count rates in spectroscopy. With this filter, the system behaves almost identically as a general pulse detection system with a dead time considerably reduced to the new sampling time (300 ns). Furthermore, because of its unique feature for determining exact event times, the method could prove very useful in time-of-flight PET imaging.Read more...