State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images

Amirhosein Toosi; Sara Harsini; Shadab Ahamed; Fereshteh Yousefirizi; François Bénard; Carlos Uribe; Arman Rahmim

doi:10.1117/12.2654527

3 April 2023 State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images

Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos Uribe, Arman Rahmim

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Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 124643E (2023) https://doi.org/10.1117/12.2654527
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Conference Poster

Abstract

The prostate-specific membrane antigen (PSMA) is a powerful target for positron emission tomography (PET) that has opened a new era in the diagnosis and management of prostate cancer (PCa). Aiming to provide an automated diagnostic and management tool that can help detect metastatic PCa lesions in PSMA-PET images, we deployed and investigated an array of state-of-the-art deep learning-based object detection algorithms (4 categories of multi-stage, single-stage, anchor-free, and end-to-end transformer-based). The results of 17 trained networks are reported in terms of 3 metrics (precision, recall, and F1 score), showing the ability of object detection models to localize PCa metastatic lesions of different sizes and standard uptake values (SUV). Our goal is to provide a fully automated computer-aided diagnosis (CAD) tool to assist physicians in performing the diagnosis by significantly saving time and decreasing false-negative rates. A novelty of the present work is to focus on multiple rotations of maximum intensity projection (MIP) images computed on 3D volumes in the dataset, as a new investigative training framework for detection. .

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Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos Uribe, and Arman Rahmim "State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124643E (3 April 2023); https://doi.org/10.1117/12.2654527

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