AIMC Topic: Single Photon Emission Computed Tomography Computed Tomography

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Phantom Validation of Tc-99m Absolute Quantification in a SPECT/CT Commercial Device.

Computational and mathematical methods in medicine Dec 14, 2016
. Similar to PET, absolute quantitative imaging is becoming available in commercial SPECT/CT devices. This study's goal was to assess quantitative accuracy of activity recovery as a function of image reconstruction parameters and count statistics in ...
Anthropometry Single Photon Emission Computed Tomography Computed Tomography Technetium Lung Algorithms Positron-Emission Tomography Reproducibility of Results Abdomen Normal Distribution Humans Image Processing, Computer-Assisted Radiometry Phantoms, Imaging
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Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Nov 3, 2016
Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPECT myocardial perfusion imaging (MPI) quantification often requires manual adjustment, which affects the quantification of perfusion. We developed a ma...
Reproducibility of Results Middle Aged Sensitivity and Specificity Humans Machine Learning Myocardial Perfusion Imaging Pattern Recognition, Automated Single Photon Emission Computed Tomography Computed Tomography Mitral Valve Anatomic Landmarks Image Interpretation, Computer-Assisted
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A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging.

Academic radiology Sep 1, 2025
RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning framework for the automated detection, segmentation, and classification of bone metastases in SPECT/CT imaging, accurately distinguishing malignant from ...
Middle Aged Deep Learning Male Image Interpretation, Computer-Assisted Single Photon Emission Computed Tomography Computed Tomography Diagnosis, Differential Bone Neoplasms Humans Sensitivity and Specificity Female
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Automated classification of increased uptake regions in bone single-photon emission computed tomography/computed tomography images using three-dimensional deep convolutional neural network.

Nuclear medicine communications Aug 1, 2021
OBJECTIVE: This study proposes an automated classification of benign and malignant in highly integrated regions in bone single-photon emission computed tomography/computed tomography (SPECT/CT) using a three-dimensional deep convolutional neural netw...
Deep Learning Imaging, Three-Dimensional Middle Aged Bone Neoplasms Biological Transport Image Processing, Computer-Assisted Aged, 80 and over Male Adult Female Aged Neural Networks, Computer Bone and Bones Humans Single Photon Emission Computed Tomography Computed Tomography Automation
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