Beyond the Conventional Structural MRI: Clinical Application of Deep Learning Image Reconstruction and Synthetic MRI of the Brain
Recent technological advancements have revolutionized routine brain magnetic resonance
imaging (MRI) sequences, offering enhanced diagnostic capabilities in intracranial disease …
imaging (MRI) sequences, offering enhanced diagnostic capabilities in intracranial disease …
Preoperatively predicting Ki67 expression in pituitary adenomas using deep segmentation network and radiomics analysis based on multiparameter MRI
H Li, Z Liu, F Li, F Shi, Y **a, Q Zhou, Q Zeng - Academic Radiology, 2024 - Elsevier
Rationale and Objectives Ki67 proliferation index is associated with more aggressive tumor
behavior and recurrence of pituitary adenomas (PAs). Recently, radiomics and deep …
behavior and recurrence of pituitary adenomas (PAs). Recently, radiomics and deep …
Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review
Purpose Predicting the consistency of benign central nervous system (CNS) tumors prior to
surgery helps to improve surgical outcomes. This review summarizes and analyzes the …
surgery helps to improve surgical outcomes. This review summarizes and analyzes the …
[HTML][HTML] Deep learning reconstruction for accelerated high-resolution upper abdominal MRI improves lesion detection without time penalty
Purpose The purpose of this study was to compare a conventional T1-weighted volumetric
interpolated breath-hold examination (VIBE) sequence with a DL-reconstructed accelerated …
interpolated breath-hold examination (VIBE) sequence with a DL-reconstructed accelerated …
Thin-slice two-dimensional T2-weighted imaging with deep learning-based reconstruction: improved lesion detection in the brain of patients with multiple sclerosis
M Iwamura, S Ide, K Sato, A Kakuta… - … Resonance in Medical …, 2024 - jstage.jst.go.jp
Purpose: Brain MRI with high spatial resolution allows for a more detailed delineation of
multiple sclerosis (MS) lesions. The recently developed deep learning-based reconstruction …
multiple sclerosis (MS) lesions. The recently developed deep learning-based reconstruction …
[HTML][HTML] Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal …
PS Suh, JE Park, YH Roh, S Kim, M Jung… - Korean Journal of …, 2024 - ncbi.nlm.nih.gov
Objective To evaluate the diagnostic performance and image quality of 1.5-mm slice
thickness MRI with deep learning-based image reconstruction (1.5-mm MRI+ DLR) …
thickness MRI with deep learning-based image reconstruction (1.5-mm MRI+ DLR) …
Deep learning‐based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness
H Kang, D Noh, SK Lee, S Choi… - Veterinary Radiology & …, 2023 - Wiley Online Library
In veterinary practice, thin‐sliced thoracolumbar MRI is useful in detecting small lesions,
especially in small‐breed dogs. However, it is challenging due to the partial volume …
especially in small‐breed dogs. However, it is challenging due to the partial volume …
Deep learning‐based reconstruction for canine brain magnetic resonance imaging could improve image quality while reducing scan time
H Choi, SK Lee, H Choi, Y Lee… - Veterinary Radiology & …, 2023 - Wiley Online Library
Optimal magnetic resonance imaging (MRI) quality and shorter scan time are challenging to
achieve in veterinary practices. Recently, deep learning‐based reconstruction (DLR) has …
achieve in veterinary practices. Recently, deep learning‐based reconstruction (DLR) has …
Thin-slice elbow MRI with deep learning reconstruction: Superior diagnostic performance of elbow ligament pathologies
Purpose With the slice thickness routinely used in elbow MRI, small or subtle lesions may be
overlooked or misinterpreted as insignificant. To compare 1 mm slice thickness MRI (1 mm …
overlooked or misinterpreted as insignificant. To compare 1 mm slice thickness MRI (1 mm …
[HTML][HTML] Multidisciplinary quantitative and qualitative assessment of IDH-mutant gliomas with full diagnostic deep learning image reconstruction
C Ruff, P Bombach, C Roder, E Weinbrenner… - European Journal of …, 2024 - Elsevier
Abstract Rationale and Objectives: Diagnostic accuracy and therapeutic decision-making for
IDH-mutant gliomas in tumor board reviews are based on MRI and multidisciplinary …
IDH-mutant gliomas in tumor board reviews are based on MRI and multidisciplinary …