Automated liver lesion detection in 68Ga DOTATATE PET/CT using a deep fully convolutional neural network
Abstract Background Gastroenteropancreatic neuroendocrine tumors most commonly metastasize to the liver; however, high normal background 68Ga-DOTATATE activity and high image noise make metastatic lesions difficult to detect. The purpose of this study is to develop a rapid, automated and highly spec...
Main Authors: | Jonathan Wehrend, Michael Silosky, Fuyong Xing, Bennett B. Chin |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-10-01
|
Series: | EJNMMI Research |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13550-021-00839-x |
Similar Items
-
Does treatment with somatostatin analogs differ in the uptake of normal target organs and malignant lesions on 68Ga-DOTATATE PET/CT imaging?
by: Çağlagül Erol, et al.
Published: (2022-08-01) -
Incidental primary breast cancer detected on surveillance 68Ga-DOTATATE PET/CT in a patient with metastatic neuroendocrine carcinoma
by: Emily B. Ambinder, MD, et al.
Published: (2020-08-01) -
Changes in biodistribution on 68Ga-DOTA-Octreotate PET/CT after long acting somatostatin analogue therapy in neuroendocrine tumour patients may result in pseudoprogression
by: Martin H. Cherk, et al.
Published: (2018-01-01) -
Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance
by: Xinyi Yang, et al.
Published: (2024-02-01) -
Imaging Characteristics of 68Ga-DOTATATE PET/CT in Tumor-Induced Osteomalacia
by: ZHANG Yuwei, et al.
Published: (2023-07-01)