In this work, we describe a new method, an extension of the Large Deformation Diffeomorphic Metric Mapping to estimate three-dimensional deformation of tagged Magnetic Resonance Imaging Data. Our approach relies on performing non-rigid registration of tag planes that were constructed from set of initial reference short axis tag grids to a set of deformed tag curves. We validated our algorithm using in-vivo tagged images of normal mice. The mapping allows us to compute root mean square distance error between simulated tag curves in a set of long axis image planes and the acquired tag curves in the same plane. Average RMS error was 0.31 ± 0.36(SD) mm, which is approximately 2.5 voxels, indicating good matching accuracy.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474039 | PMC |
http://dx.doi.org/10.1109/EMBC.2014.6944772 | DOI Listing |
Food Res Int
January 2025
Department of Food Engineering and Technology, Faculty of Food Engineering, Universidade Estadual de Campinas (UNICAMP), 13083-862, Campinas, Brazil. Electronic address:
This study focused on evaluating the fractionation of pequi oil and modeling the process using solid-liquid equilibrium (SLE) theory. The pequi oil was comprehensively characterized, including its fatty acid (FA) and acylglycerol (AG) profiles, moisture content, acidity, carotenoid levels, and thermal behavior. Low acidity and partial acylglycerols content, along with its TAG profile (mainly OOP, POP, OOO and PPP) and melting behavior proved that, in fact, this oil is quite suitable for fractionation.
View Article and Find Full Text PDFInsights Imaging
November 2024
Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, People's Republic of China.
Respir Res
November 2024
National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Background: Identification and validation of potential biomarkers could facilitate the identification of pulmonary arterial hypertension (PAH) and thus aid to study their roles in the disease process.
Methods: We used the isobaric tag for relative and absolute quantitation approaches to compare the protein profiles between the serum of PAH patients and the controls. Bioinformatics analyses and enzyme-linked immunosorbent assay (ELISA) identification of PAH patients and the controls were performed to identify the potential biomarkers.
World Neurosurg
December 2024
Semmes Murphey Clinic, Memphis, Tennessee, USA; Department of Neurology, The University of Tennessee Health Sciences Center, Memphis, Tennessee, USA.
Background: Symptomatic intracranial hemorrhage (sICH) after mechanical thrombectomy (MT) is associated with worse outcomes. We sought to develop and internally validate a machine learning (ML) model to predict sICH prior to MT in patients with anterior circulation large vessel occlusion.
Methods: Consecutive adults who underwent MT for internal carotid artery/M1/M2 occlusions at a single institution were reviewed.
J Transl Med
October 2024
Oncology Department, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, 250014, China.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!