Article
Oncology
Lingmin Zheng, Peirong Jiang, Danjie Lin, Xiaodan Chen, Tianjin Zhong, Rufei Zhang, Jing Chen, Yang Song, Yunjing Xue, Lin Lin
Summary: This study compared different MR diffusion-weighted imaging techniques in predicting the consistency of meningiomas. The results showed that histogram parameters of Alpha and D* may serve as better imaging biomarkers to aid in predicting the consistency of meningiomas.
Article
Computer Science, Artificial Intelligence
Alper Gungor, Salman U. H. Dar, Saban Ozturk, Yilmaz Korkmaz, Hasan A. Bedel, Gokberk Elmas, Muzaffer Ozbey, Tolga Cukur
Summary: AdaDiff, the first adaptive diffusion prior for MRI reconstruction, is proposed to improve performance and reliability against domain shifts. It leverages an efficient diffusion prior trained via adversarial mapping over large reverse diffusion steps. A two-phase reconstruction, including a rapid-diffusion phase and an adaptation phase, is executed to refine the result by updating the prior to minimize data-consistency loss.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Computer Science, Artificial Intelligence
Maximilian Pietsch, Daan Christiaens, Joseph Hajnal, J-Donald Tournier
Summary: Utilizing deep learning methods to correct inter-slice intensity variations in MRI images can improve image quality regardless of motion or dropout artifacts. By incorporating built-in constraints, the corrected images reduce inter-slice inconsistencies while preserving contrast, resulting in more accurate and reliable data.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Malte Riedel (Ne Steinhoff), Kawin Setsompop, Alfred Mertins, Peter Boernert
Summary: This study proposes an algorithm that combines 3D rigid motion correction and wavelet denoising into the image reconstruction of segmented SMS-EPI diffusion data. Low-resolution navigators are used to estimate shot-specific diffusion phase corruptions and 3D rigid motion parameters. The algorithm demonstrates high fidelity and improved image reconstruction quality in simulations and in vivo studies.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Multidisciplinary Sciences
Mingyuan Ge, Hanfei Yan, Xiaojing Huang, Yong S. Chu
Summary: X-ray fluorescence mapping (XRF) is a non-invasive technique for analyzing material composition at micro and nanoscale resolutions. However, self-absorption poses a challenge to quantitative analysis. In this study, a semi-empirical method was developed to effectively correct 2D XRF mapping data, achieving an error rate of less than 10%. The method was applied to analyze the composition distribution around grain boundaries in corroded stainless steel, revealing localized chromium enrichment around crack sites previously invisible due to absorption.
SCIENTIFIC REPORTS
(2023)
Article
Medicine, General & Internal
Lorenzo Anfigeno, Fiammetta Sertorio, Luca Basso, Andrea Fontana, Monica Bodria, Angela Pistorio, Gian Marco Ghiggeri, Maria Beatrice Damasio
Summary: This retrospective study evaluated the diagnostic role of DW-MRI in pediatric patients with acute pyelonephritis. Results showed that DW-MRI can accurately identify multiple areas of pyelonephritis, but selecting appropriate patients for this examination remains challenging.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Oncology
Matteo Nardini, Amedeo Capotosti, Lorenzo Nicola Mazzoni, Davide Cusumano, Luca Boldrini, Giuditta Chiloiro, Angela Romano, Vincenzo Valentini, Luca Indovina, Lorenzo Placidi
Summary: This study assessed the quality of a new DWI sequence implemented on an MR-Linac MRIdian system. The optimal acquisition parameters were evaluated and optimized to explore the possibility of implementing a clinically viable DWI acquisition protocol in a 0.35-T MR-Linac.
FRONTIERS IN ONCOLOGY
(2022)
Article
Neurosciences
Daan Christiaens, Lucilio Cordero-Grande, Maximilian Pietsch, Jana Hutter, Anthony N. Price, Emer J. Hughes, Katy Vecchiato, Maria Deprez, A. David Edwards, Joseph Hajnal, J-Donald Tournier
Summary: Diffusion MRI provides valuable insights into neural microstructure and connectivity in the developing brain. This study introduces a reconstruction method for scattered slice multi-shell HARDI data, enabling accurate motion correction and reconstruction even in severely motion-corrupted subjects. The framework integrates various techniques such as slice-level outlier rejection, distortion correction, and data-driven representation, showing promise for future microstructure imaging research.
Article
Oncology
Hui Yang, Xubo Ge, Xiuzhu Zheng, Xiaoqian Li, Jiang Li, Min Liu, Jianzhong Zhu, Jian Qin
Summary: This study evaluated and compared the potential performance of various diffusion parameters obtained from different models in diffusion-weighted imaging (DWI) for grading of esophageal squamous carcinoma (ESC). The results showed that the distributed diffusion coefficient (DDC) derived from the stretched exponential model (SEM) was the most promising diffusion parameter for predicting the grade of ESC.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Niklas Abele, Soenke Langner, Ute Felbor, Holger Lode, Norbert Hosten
Summary: This study analyzed the quantified diffusion weighed imaging in MRI for neuroblastoma. It found that there is a significant increase in the apparent diffusion coefficient for regressive diseases and a decrease for progressive diseases. This change can be observed within the first 120 days of therapy. Neuroblastoma is a common malignant tumor in children, and MRI with contrast-enhanced and diffusion-weighted imaging is used for staging and therapy monitoring. The study evaluated the early change in the ADC values under therapy and its correlation with the form of therapy and prognosis.
Review
Medicine, General & Internal
Liberatore Tramontano, Carlo Cavaliere, Marco Salvatore, Valentina Brancato
Summary: The importance of non-Gaussian DWI models in hepatocellular carcinoma (HCC) has been explored, but results are variable and consensus is lacking. Although the parameters of these models may have potential relevance in HCC, further research is needed to establish a standardized DWI acquisition protocol.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Eleftherios Karanasios, Iztok Caglic, Jeries P. Zawaideh, Tristan Barrett
Summary: Higher PI-QUAL scores are associated with decreased uncertainty in MRI decision-making and improved efficiency of diagnostic pathway delivery. The study demonstrates moderate inter-reader agreement for PI-QUAL scoring and validates the score in a clinical setting, showing correlation of image quality with PI-RADS score, number of biopsy procedures, and need for repeat imaging.
BRITISH JOURNAL OF RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yunfei Zhang, Ruofan Sheng, Chun Yang, Yongming Dai, Mengsu Zeng
Summary: Compared to 3.0 T rFOV-DWI, 5.0 T rFOV-DWI showed higher signal-to-noise ratio and better image quality at the same anatomical locations. This holds clinical potential for identifying abdominal abnormalities in routine practice.
INSIGHTS INTO IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kay J. J. van der Hoogt, Robert-Jan Schipper, Ronni Wessels, Leon C. ter Beek, Regina G. H. Beets-Tan, Ritse M. Mann
Summary: This study aims to investigate the impact of acquiring DWI postcontrast in an abbreviated MRI protocol on lesion classification. The results show that postcontrast DWI does not significantly affect the diffusion coefficient of healthy fibroglandular tissue, but it may cause a shift in diffusion levels in certain lesions.
INVESTIGATIVE RADIOLOGY
(2023)
Review
Biochemical Research Methods
Valerij G. Kiselev
Summary: The review highlights the importance of balancing measurability against interpretability in evaluating cellular tissue architecture using diffusion MRI techniques. Advances in modern measurement techniques are discussed within the overarching idea of matching diffusion weighting to the geometry of targeted cell species.
JOURNAL OF NEUROSCIENCE METHODS
(2021)