Automated Computed Tomography–Ultrasound Cross-Modality 3-D Contouring Algorithm for Prostate

Ermacora, Denis; Pesente, S.; Pascoli, Francesco; Raducci, Sebastian; Mauro, Rudy; Rumeileh, Imad Abu; Verhaegen, Frank; Fontanarosa, Davide

doi:10.1016/j.ultrasmedbio.2015.05.025

Cited by 2 publications

(2 citation statements)

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“…A prediction model was implemented to predict tumor motion trajectories from cineMRI (4D-MRI) acquired with 3 T scanner, which involved SVM applied to anatomy landmarks positions [167]. A custom ML algorithm was developed to outline prostate on US registered with pretreatment CT to automatically determine target displacement during RT [168]. Synthetic CT generation by DL from MRI used for image-guidance in MRI-LINAC allows for daily dose calculation [169].…”

Section: Radiotherapymentioning

confidence: 99%

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

Avanzo

Porzio²,

Lorenzon

et al. 2021

Physica Medica

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To perform a systematic review on the research on the application of artificial intelligence (AI) to imaging published in Italy and identify its fields of application, methods and results. Materials and Methods: A Pubmed search was conducted using terms Artificial Intelligence, Machine Learning, Deep learning, imaging, and Italy as affiliation, excluding reviews and papers outside time interval 2015-2020. In a second phase, participants of the working group AI4MP on Artificial Intelligence of the Italian Association of Physics in Medicine (AIFM) searched for papers on AI in imaging. Results: The Pubmed search produced 794 results. 168 studies were selected, of which 122 were from Pubmed search and 46 from the working group. The most used imaging modality was MRI (44%) followed by CT(12%) ad radiography/mammography (11%). The most common clinical indication were neurological diseases (29%) and diagnosis of cancer (25%). Classification was the most common task for AI (57%) followed by segmentation (16%). 65% of studies used machine learning and 35% used deep learning. We observed a rapid increase of research in Italy on artificial intelligence in the last 5 years, peaking at 155% from 2018 to 2019.

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Section: Radiotherapymentioning

confidence: 99%

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

Avanzo

Porzio²,

Lorenzon

et al. 2021

Physica Medica

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“…For example the target position information can be used to project the target on the portal dose distribution, which would allow to quantify the truly delivered dose to the tumor. With 4D ultrasound it is possible to automatically track and delineate the tumor [36,37]. The automation of tumor delineation makes this imaging modality very suitable to use in a portal dose workflow.…”

Section: Portal Dosimetry and Novel Treatment Modalitiesmentioning

confidence: 99%

Novel in-treatment dose verification methods for adaptive radiotherapy

Persoon¹

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Automated Computed Tomography–Ultrasound Cross-Modality 3-D Contouring Algorithm for Prostate

Cited by 2 publications

References 50 publications

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

Novel in-treatment dose verification methods for adaptive radiotherapy

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