Hemodynamic Analysis Using 4D Flow MRI in a Case of Aortic Dissection With Aberrant Right Subclavian Artery by Kenji Sakakibara, Hiroyuki Nakajima, Yukiyo Yoshida, Yudai Hagihara, Chie Nakamura, Daichi Shikata, Yuki Takesue, Satoru Shiraiwa, Yoshihiro Honda, Shigeaki Kaga, Masahiro Hamasaki, Hisashi Johno, Hiroaki Watanabe

Subjects: “…4D flow MRI…”
Get full text

Revealing excitation-inhibition imbalance in Alzheimer’s disease using multiscale neural model inversion of resting-state functional MRI by Guoshi Li, Li-Ming Hsu, Ye Wu, Andrea C. Bozoki, Yen-Yu Ian Shih, Pew-Thian Yap

“…Method In this work, we apply a Multiscale Neural Model Inversion (MNMI) framework to the resting-state functional MRI data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to identify brain regions with disrupted E-I balance in a large network during AD progression. …”
Get full text

Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction by Yimeng Kang, Wenjing Li, Qingqing Lv, Qiuying Tao, Jieping Sun, Jinghan Dang, Xiaoyu Niu, Zijun Liu, Shujian Li, Zanxia Zhang, Kaiyu Wang, Baohong Wen, Jingliang Cheng, Yong Zhang, Weijian Wang

Subjects: Get full text

Author Correction: An MRI Deep Brain Adult Template With An Advanced Atlas-Based Tool For Diffusion Tensor Imaging Analysis by Jean-Jacques Lemaire, Rémi Chaix, Aigerim Dautkulova, Anna Sontheimer, Jérôme Coste, Ana-Raquel Marques, Adrien Wohrer, Carine Chassain, Omar Ouachikh, Omar Ait-Aider, Denys Fontaine

Get full text

Systematic review of functional magnetic resonance imaging (fMRI) applications in the preoperative planning and treatment assessment of brain tumors by Hamad Yahia Abu Mhanna, Ahmad Fairuz Omar, Yasmin Md Radzi, Ammar A. Oglat, Hanan Fawaz Akhdar, Haytham Al Ewaidat, Abdallah Almahmoud, Abdel-Baset Bani Yaseen, Laith Al Badarneh, Omar Alhamad, Laith Alhamad

Subjects: Get full text

Predictive Value of Preoperative Dynamic Contrast-Enhanced MRI Imaging Features in Breast Cancer Patients with Postoperative Recurrence Time by Zhangqiang Wu, Shaoli Gao, Yefeng Yao, Li Yi, Jianjun Wang, Fei Liu

“…The prognosis of early recurrence of breast cancer is worse. DCE-MRI can predict the time of postoperative recurrence and provide important clinical references.…”
Get full text

Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

“…This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. …”
Get full text

Autograft dilation after Ross procedure in children and young adults is mitigated by autograft reinforcement: A retrospective MRI study by Raphael Seiler, Robin Stenzel, Viktoria Weixler, Milena Muiznieks, Marina Gürtner, Felix Berger, Titus Kühne, Mi-Young Cho, Joachim Photiadis, Marcus Kelm, Peter Murin

Subjects: “…Cardiac MRI…”
Get full text

Multi-sequence MRI-based nomogram for prediction of human epidermal growth factor receptor 2 expression in breast cancer by Mengyi Shen, Li Zhang, Dingyi Zhang, Xin He, Nian Liu, Xiaohua Huang

“…Objective: To develop a nomogram based on multi-sequence MRI (msMRI) radiomics features and imaging characteristics for predicting human epidermal growth factor receptor 2 (HER2) expression in breast cancer (BC). …”
Get full text

Corrigendum to “A Case of In-Bore Transperineal MRI-Guided Prostate Biopsy of a Patient with Ileal Pouch-Anal Anastomosis” by Michael Kongnyuy, Thomas Frye, Arvin K. George, Amichai Kilchevsky, Amogh Iyer, Meet Kadakia, Akhil Muthigi, Baris Turkbey, Bradford J. Wood, Peter A. Pinto

Get full text

Whole-Body MRI and Ethnic Differences in Adipose Tissue and Skeletal Muscle Distribution in Overweight Black and White Adolescent Boys by SoJung Lee, YoonMyung Kim, Jennifer L. Kuk, Fernando E. Boada, Silva Arslanian

“…The study sample included overweight black (n=19) and white (n=21) boys (11–18 yr, BMI ≥ 85th) whose body composition was evaluated using whole-body MRI. Despite similar age, Tanner stage, and BMI, black boys had significantly (P<.05) less visceral AT than white boys and more (P<.05) total and lower-body subcutaneous AT (SAT) in both absolute (kg) and relative (%) terms. …”
Get full text

Ductal Carcinoma In Situ (DCIS) Diagnosed by MRI-Guided Biopsy among BRCA1/BRCA2 Mutation Carriers by Renata Faermann, Eitan Friedman, Orit Kaidar-Person, Jonathan Weidenfeld, Malka Brodsky, Anat Shalmon, Osnat Halshtok Neiman, Michael Gotlieb, Yael Yagil, David Samoocha, Dana Madorsky Feldman, Miri Sklair-Levy

“…All female BRCA1/BRCA2 PSV-carriers followed at the Meirav High-risk clinic from 2015 to 2020 were eligible if they underwent semiannual breast imaging (MRI/mammography) and MRI-guided biopsy-proven pure DCIS. …”
Get full text

Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

“…This work compares a novel DL model using structural connectivity (namely, BC-GCN-SE adapted from functional connectivity tasks) with an established model using structural magnetic resonance imaging (MRI) scans (namely, ResNet18). Unlike most studies primarily focusing on performance, our work places explainability at the forefront. …”
Get full text

What Radiologist Should Know about MRI Translational Forces and Hazard: An Ex-Vivo Simulation of Retained Metallic Shrapnel by Ali Kanj, Ibrahim Ghosn, Assaad Mohanna, Georges Rouhana

“…When a shrapnel’s hazard is of concern, the decision between performing or refusing a justified MRI exam is not always straightforward. In this small trial, we aimed to better understand the shrapnel’s MRI safety by mimicking our daily practice. …”
Get full text

Denoising Method for MRI Images Using Modified BM3D Filter with Complex Network and Artificial Neural Networks by Trong-Thanh Han, Hinh Nguyen Van, Phat Nguyen Huu

“…Experimental results on the black and white MRI image set have shown that the model correctly predicted the parameters of the BM3D filter and removed the noise in the images of those MRI images. …”
Get full text

Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation by Varina L. Boerwinkle, Kristin M. Gunnarsdottir, Bethany L. Sussman, Sarah N. Wyckoff, Emilio G. Cediel, Belfin Robinson, William R. Reuther, Aryan Kodali, Sridevi V. Sarma

Subjects: Get full text

Modulation of High-Frequency rTMS on Reward Circuitry in Individuals with Nicotine Dependence: A Preliminary fMRI Study by Tao Wang, Ruiyang Li, Dongyan Chen, Mei Xie, Zhiqiang Li, Huan Mao, Yuting Ling, Xiaoyun Liang, Guojun Xu, Jianjun Zhang

“…We recruited 17 nicotine-dependence participants, who completed 10 sessions of 10 Hz rTMS over a 2-week period and underwent evaluation of several dependence-related scales, and resting-state fMRI scan before and after the treatment. Functional connectivity (FC) analysis was conducted with reward-related brain regions as seeds, including ventral tegmental area, bilateral nucleus accumbens (NAc), bilateral DLPFC, and bilateral amygdala. …”
Get full text

Assessing blood flow in uterine fibroids using intravoxel incoherent motion imaging compared with dynamic contrast-enhanced MRI by Teija Sainio, Jani Saunavaara, Gaber Komar, Antti Viitala, Saara Otonkoski, Kirsi Joronen, Antti Perheentupa, Roberto Blanco Sequeiros

“…Abstract To assess the utility of IVIM parameters in evaluating uterine fibroid blood flow compared to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) derived blood flow. Sixteen premenopausal women with uterine fibroids were enrolled in this prospective study. …”
Get full text

DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI by Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón

Get full text

Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset by Ayoob Mohamed, Nettasinghe Oshan, Sylvester Vithushan, Bowala Helmini, Mohideen Hamdaan

“…This study explores the integration of semantic segmentation and explainable AI techniques on the MnMs-2 Cardiac MRI dataset. We propose a segmentation model that achieves competitive dice scores (nearly 90 %) and Hausdorff distance (less than 70), demonstrating its effectiveness for cardiac MRI analysis. …”
Get full text