Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [ 177 Lu]Lu-DOTATATE radiopharmaceutical therapy.
Zahra MansouriYazdan SalimiAzadeh AkhavanallafIsaac ShiriEliluane Pirazzo Andrade TeixeiraXinchi HouJean-Mathieu BeauregardArman RahmimHabib ZaidiPublished in: European journal of nuclear medicine and molecular imaging (2024)
A hybrid transformer-based deep learning model was developed for fast and accurate dose map generation, outperforming the MIRD approaches, specifically in heterogenous regions. The model achieved accuracy close to MC gold standard and has potential for clinical implementation for use on large-scale datasets.
Keyphrases
- deep learning
- pet ct
- convolutional neural network
- primary care
- healthcare
- computed tomography
- artificial intelligence
- machine learning
- optical coherence tomography
- quality improvement
- magnetic resonance imaging
- dual energy
- positron emission tomography
- mesenchymal stem cells
- rna seq
- single cell
- cell therapy
- neuroendocrine tumors