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Image normalization is a building block in medical image analysis. Conventional approaches are customarily employed on a per-dataset basis. This strategy, however, prevents the current normalization algorithms from fully exploiting the complex joint information available across multiple datasets. Consequently, ignoring such joint information has a direct impact on the processing of segmentation algorithms. This paper proposes to revisit the conventional image normalization approach by, instead, learning a common normalizing function across multiple datasets. Jointly normalizing multiple datasets is shown to yield consistent normalized images as well as an improved image segmentation when intensity shifts are large. To do so, a fully automated adversarial and task-driven normalization approach is employed as it facilitates the training of realistic and interpretable images while keeping performance on par with the state-of-the-art. The adversarial training of our network aims at finding the optimal transfer function to improve both, jointly, the segmentation accuracy and the generation of realistic images. We have evaluated the performance of our normalizer on both infant and adult brain images from the iSEG, MRBrainS and ABIDE datasets. The results indicate that our contribution does provide an improved realism to the normalized images, while retaining a segmentation accuracy at par with the state-of-the-art learnable normalization approaches.
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http://dx.doi.org/10.1016/j.media.2021.102191 | DOI Listing |
J Neural Eng
December 2024
University of California San Francisco, 513 Parnassus Avenue, S362, SAN FRANCISCO, San Francisco, 94143, CHINA.
Objective: Electroencephalography (EEG) and Magnetoencephalography (MEG) are widely used non-invasive techniques in clinical and cognitive neuroscience. However, low spatial resolution measurements, partial brain coverage by some sensor arrays, as well as noisy sensors could result in distorted sensor topographies resulting in inaccurate reconstructions of underlying brain dynamics. Solving these problems has been a challenging task, This paper proposes a robust framework based on electromagnetic source imaging for interpolation of unknown or poor quality EEG/MEG measurements.
View Article and Find Full Text PDFAbdom Radiol (NY)
December 2024
Department of Radiology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Purpose: To establish the normal ranges of the main portal vein (MPV), left portal vein (LPV), and right portal vein (RPV) diameters in children and adolescents using abdominal contrast-enhanced CT.
Methods: We retrospectively enrolled children and adolescents (under 19 years) who underwent abdominal contrast-enhanced CT examinations in our hospital between January 2018 and January 2024. Subjects with conditions potentially affecting the portal vein diameter were excluded.
Radiology
December 2024
From the Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK (L.E.M.F., M.P.C., M.J., A.S., Z.A., S.N., D.J.T., B.R., L.V.); Oncology and Haematology Centre, Churchill Hospital, Oxford, UK (A.S.); Axcella Therapeutics, Cambridge, Mass (K.A.); and Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia (L.V.).
Background Emerging evidence suggests mitochondrial dysfunction may play a role in the fatigue experienced by individuals with post-COVID-19 condition (PCC), commonly called long COVID, which can be assessed using MR spectroscopy. Purpose To compare mitochondrial function between participants with fatigue-predominant PCC and healthy control participants using MR spectroscopy, and to investigate the relationship between MR spectroscopic parameters and fatigue using the 11-item Chalder fatigue questionnaire. Materials and Methods This prospective, observational, single-center study (June 2021 to January 2024) included participants with PCC who reported moderate to severe fatigue, with normal blood test and echocardiographic results, alongside control participants without fatigue symptoms.
View Article and Find Full Text PDFRadiology
December 2024
From the Department of Radiology, Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054.
History A 65-year-old male patient with a history of sarcomatoid renal cell carcinoma and prior right nephrectomy developed recurrent disease adjacent to the inferior vena cava. The patient underwent surveillance imaging 7 months after initiation of treatment with maximum-dose pazopanib and less than 1 month after completing a 2-month regimen of palliative stereotactic body radiation therapy to the right nephrectomy bed and site of recurrence. (Stereotactic body radiation therapy was initiated 5 months after pazopanib treatment was initiated.
View Article and Find Full Text PDFThis is the case of a 30-year-old nulliparous patient with a complete uterine septum, double cervix and non- obstructive longitudinal vaginal septum (Class U2bC2V1 according to the ESHRE/ESGE classification). The patient presented with severe dyspareunia and dysmenorrhea. Imaging revealed a complex Müllerian anomaly and hysteroscopic treatment was agreed.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!