Systems and methods for a task-specific deep-learning-based denoising approach for myocardial perfusion SPECT
A system for single-photon emission computed tomography (SPECT) is provided. The system includes a computer device comprises at least one processor in communication with at least one memory device. The at least one processor is programmed to: a) store a model trained to denoise computer tomography (CT) scans of a subject being examined; b) receive a CT scan of a first subject being examined; c) execute the model with the CT scan of the first subject as an input, wherein the model performs denoising on the CT scan while accounting for an observer loss function; and d) output a denoised-CT scan of the first subject.
1 . A system for single-photon emission computed tomography (SPECT) comprising a computer device comprises at least one processor in communication with at least one memory device, wherein the at least one processor is programmed to:
store a model trained to denoise computer tomography (CT) scans of a subject being examined, wherein the at least one processor is further programmed to train the model with a plurality of historical low-dose CT scans and a plurality of normal dose CT scans, wherein the plurality of historical low-dose CT scans are images of where the corresponding subject received a lower dose of a radioactive tracer than subjects of the normal dose CT scans;
receive a CT scan of a first subject being examined;
execute the model with the CT scan of the first subject as an input, wherein the model performs denoising on the CT scan while accounting for an observer loss function; and
output a denoised-CT scan of the first subject.
2 . The system of claim 1 , wherein the lower dose is one of 12.5% and 6.25% of a normal dose.
3 . The system of claim 1 , wherein the at least one processor is further programmed to execute the model for a plurality of CT scans.
4 . The system of claim 3 , wherein the plurality of CT scans is a part of a video.
5 . The system of claim 1 , wherein the CT scan was taken during a myocardial perfusion.
6 . The system of claim 1 , wherein the at least one processor is further programmed to train the model with an observer loss function.
7 . A method for single-photon emission computed tomography (SPECT), the method implemented by a computer device comprising at least one processor in communication with one or more memory devices, the method comprises:
storing a model trained to denoise computer tomography (CT) scans of a subject being examined;
receiving a CT scan of a first subject being examined, wherein the at least one processor is further programmed to train the model with a plurality of historical low-dose CT scans and a plurality of normal dose CT scans, wherein the plurality of historical low-dose CT scans are images of where the corresponding subject received a lower dose of a radioactive tracer than subjects of the normal dose CT scans;
executing the model with the CT scan of the first subject as an input, wherein the model performs denoising on the CT scan while accounting for an observer loss function; and
outputting a denoised-CT scan of the first subject.
8 . The method of claim 7 , wherein the lower dose is one of 12.5% and 6.25% of a normal dose.
9 . The method of claim 7 further comprising executing the model for a plurality of CT scans.
10 . The method of claim 9 , wherein the plurality of CT scans is a part of a video.
11 . The method of claim 7 , wherein the CT scan was taken during a myocardial perfusion.
12 . The method of claim 7 further comprising training the model with an observer loss function.
13 . A computer device for single-photon emission computed tomography (SPECT) comprising at least one processor in communication with at least one memory device, wherein the at least one processor is programmed to:
store a model trained to denoise computer tomography (CT) scans of a subject being examined, wherein the at least one processor is further programmed to train the model with a plurality of historical low-dose CT scans and a plurality of normal dose CT scans, wherein the plurality of historical low-dose CT scans are images of where the corresponding subject received a lower dose of a radioactive tracer than the subjects of normal dose CT scans;
receive a CT scan of a first subject being examined;
execute the model with the CT scan of the first subject as an input, wherein the model performs denoising on the CT scan while accounting for an observer loss function; and
output a denoised-CT scan of the first subject.
14 . The computer device of claim 13 , wherein the lower dose is one of 12.5% and 6.25% of a normal dose.
15 . The computer device of claim 13 , wherein the at least one processor is further programmed to execute the model for a plurality of CT scans.
16 . The computer device of claim 15 , wherein the plurality of CT scans is a part of a video.
17 . The computer device of claim 13 , wherein the CT scan was taken during a myocardial perfusion.