Purpose: MR guidance is used during therapy to detect and compensate for lesion motion. T -weighted MRI often has a superior lesion contrast in comparison to T -weighted real-time imaging. The purpose of this work was to design a fast T -weighted sequence capable of simultaneously acquiring two orthogonal slices, enabling real-time tracking of lesions.
Methods: To generate a T contrast in two orthogonal slices simultaneously, a sequence (Ortho-SFFP-Echo) was designed that samples the T -weighted spin echo (S ) signal in a TR-interleaved acquisition of two slices. Slice selection and phase-encoding directions are swapped between the slices, leading to a unique set of spin-echo signal conditions. To minimize motion-related signal dephasing, additional flow-compensation strategies are implemented. In both the abdominal breathing phantom and in vivo experiments, a time series was acquired using Ortho-SSFP-Echo. The centroid of the target was tracked in postprocessing steps.
Results: In the phantom, the lesion could be identified and delineated in the dynamic images. In the volunteer experiments, the kidney was visualized with a T contrast at a temporal resolution of 0.45 s under free-breathing conditions. A respiratory belt demonstrated a strong correlation with the time course of the kidney centroid in the head-foot direction. A hypointense saturation band at the slice overlap did not inhibit lesion tracking in the semi-automatic postprocessing steps.
Conclusion: The Ortho-SFFP-Echo sequence delivers real-time images with a T -weighted contrast in two orthogonal slices. The sequence allows for simultaneous acquisition, which could be beneficial for real-time motion tracking in radiotherapy or interventional MRI.
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http://dx.doi.org/10.1002/mrm.29795 | DOI Listing |
Am J Orthod Dentofacial Orthop
January 2025
School of Dentistry, University of Michigan, Ann Arbor, Mich.
Introduction: Accuracy and user experience of dental diagnosis for a patient with cleidocranial dysplasia (CCD) using immersive virtual reality (VR) and cone-beam computed tomography multiplanar reconstruction methods were evaluated.
Methods: Dental students (n = 40) were randomly assigned to VR or MP groups. VR participants manipulated and visualized the rendered 3-dimensional model using VR hardware and software.
Sci Rep
November 2024
Department of Management Information Systems, Dong-A University, 225, Gudeok-ro, Seo-gu, Busan, 49236, Republic of Korea.
The application of deep learning techniques for the analysis of neuroimaging has been increasing recently. The 3D Convolutional Neural Network (CNN) technology, which is commonly adopted to encode volumetric information, requires a large number of datasets. However, due to the nature of the medical domain, there are limitations in the number of data available.
View Article and Find Full Text PDFCell
November 2024
BGI Research, Sanya 572025, China; Hainan Technology Innovation Center for Marine Biological Resources Utilization (Preparatory Period), BGI Research, Sanya 572025, China. Electronic address:
Quantifying spatiotemporal dynamics during embryogenesis is crucial for understanding congenital diseases. We developed Spateo (https://github.com/aristoteleo/spateo-release), a 3D spatiotemporal modeling framework, and applied it to a 3D mouse embryogenesis atlas at E9.
View Article and Find Full Text PDFMed Phys
December 2024
Department of Physics, University of New Mexico, Albuquerque, New Mexico, USA.
Background: Digital breast tomosynthesis (DBT) has outpaced digital mammography in clinical adoption in the United States; however, substantial technological limitations remain to image quality in DBT, including undersampling from a one-dimensional (1D) scan geometry, x-ray source motion during acquisition, and patient motion artifacts from long exam times.
Purpose: A thermionic cathode x-ray system employing two-dimensional (2D, planar) multiple x-ray-source arrays (MXA) is proposed to improve DBT image quality.
Methods: A 1D MXA, consisting of a linear array of thermionic cathodes was used to simulate a 2D MXA.
J Proteome Res
November 2024
Departments of Molecular Medicine and Neurobiology, the Scripps Research Institute, La Jolla 92037, California, United States.
Direct detection of biotinylated proteins (DiDBiT) is a proteomic method that can enrich and detect newly synthesized proteins (NSPs) labeled with bio-orthogonal amino acids with 20-fold improved detectability compared to conventional methods. However, DiDBiT has currently been used to compare only two conditions per experiment. Here, we present DiDBiT-TMT, a method that can be used to quantify NSPs across many conditions and replicates in the same experiment by combining isobaric tandem mass tagging (TMT) with DiDBiT.
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