Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine Scans

Autor: Usman Mahmood, David D. B. Bates, Yusuf E. Erdi, Lorenzo Mannelli, Giuseppe Corrias, Christopher Kanan

Publikováno v: Diagnostics, Vol 12, Iss 3, p 672 (2022)

We map single energy CT (SECT) scans to synthetic dual-energy CT (synth-DECT) material density iodine (MDI) scans using deep learning (DL) and demonstrate their value for liver segmentation. A 2D pix2pix (P2P) network was trained on 100 abdominal DEC

Externí odkaz: https://doaj.org/article/69428b1b37b247bbab186b99e98a5ec8

Quality control of radiomic features using 3D-printed CT phantoms

Autor: Yusuf E. Erdi, Lorenzo Manneli, Giuseppe Corrias, Aditya Apte, David D. B. Bates, John Nguyen, Amita Shukla-Dave, Jung Hun Oh, Joseph O’Deasy, Christopher Kanan, Usman Mahmood

Publikováno v: Journal of Medical Imaging. 8

Purpose: The lack of standardization in quantitative radiomic measures of tumors seen on computed tomography (CT) scans is generally recognized as an unresolved issue. To develop reliable clinical applications, radiomics must be robust across differe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e7c59fdf9a69e8294012ad1b748d9e5
https://doi.org/10.1117/1.jmi.8.3.033505

Quantification of Iodine Concentration Using Single-Source Dual-Energy Computed Tomography in a Calf Liver

Autor: Peter Sawan, Davinia Ryan, Maria Elena Laino, Giuseppe Corrias, Lorenzo Di Cesare Mannelli, Yusuf E. Erdi, Usman Mahmood, Andrea Agostini, Monica Ragucci, Alessandra Borgheresi

Publikováno v: Journal of Computer Assisted Tomography. 42:222-229

OBJECTIVE To evaluate the accuracy of single-source dual-energy computed tomography (ssDECT) in iodine quantification using various segmentation methods in an ex vivo model. METHODS Ten sausages, injected with variable quantities of iodinated contras

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::170973e5b74775be7b70a26e21ccaea1
https://doi.org/10.1097/rct.0000000000000685

Task Group 174 Report: Utilization of [ 18 F]Fluorodeoxyglucose Positron Emission Tomography ([ 18 F]FDG-PET) in Radiation Therapy

Autor: Yusuf E. Erdi, Fang-Fang Yin, Paul E. Kinahan, Heiko Schöder, Ronald Boellaard, Lei Xing, Stephen R. Bowen, Daniel C. Sullivan, Jeffrey D. Bradley, Osama Mawlawi, Sasa Mutic, James E. Bowsher, R McGurk, Moyed Miften, Shiva K. Das, John E. Bayouth

Publikováno v: Medical Physics, 46(10), e706-e725. AAPM-American Association of Physicists in Medicine
Das, S K, McGurk, R, Miften, M, Sasa, M, Bowsher, J, Bayouth, J, Erdi, Y, Mawlawi, O, Boellaard, R, Bowen, S R, Xing, L, Bradley, J, Schoder, H, Yin, F-F, Sullivan, D C & Kinahan, P 2019, ' Task Group 174 Report: Utilization of [ 18 F]Fluorodeoxyglucose Positron Emission Tomography ([ 18 F]FDG-PET) in Radiation Therapy ', Medical Physics, vol. 46, no. 10, pp. e706-e725 . https://doi.org/10.1002/mp.13676

The use of positron emission tomography (PET) in radiation therapy (RT) is rapidly increasing in the areas of staging, segmentation, treatment planning, and response assessment. The most common radiotracer is 18F-fluorodeoxyglucose ([ 18F]FDG), a glu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fefaaa089cb4c2139164ac50cdbaad3
https://research.vumc.nl/en/publications/cdbc7858-edba-4477-96df-459bf0f8706c

Rapid Switching kVp Dual Energy CT: Value of Reconstructed Dual Energy CT Images and Organ Dose Assessment in Multiphasic Liver CT Exams

Autor: Lorenzo Di Cesare Mannelli, Natally Horvat, Richard K. G. Do, Rommel DeOcampo, Lawrence T. Dauer, Usman Mahmood, Yiming Gao, C. Ross Schmidtlein, Yusuf E. Erdi, Scott R. Gerst, Joao V. Horvat, Gabriella Carollo, Davinia Ryan, Seth S. Katz

PURPOSE: Clinical applications of dual energy computed tomography (DECT) have been widely reported; however, the importance of the different image reconstructions and radiation organ dose remains a relevant area of investigation, particularly conside

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab315b36e456074965bf72b5ae0c3a4a
https://europepmc.org/articles/PMC5918634/