bluuebunny/crossref_metadata_2025 huggingface dataset:
Magnetic Resonance Elastography for Early Assessment of Response to Neoadjuvant Chemotherapy in Women with Breast Cancer
Authors: Jurrius Patriek , Darwish Omar , Fovargue Daniel , Shifa Belul , Welsh Karen , Bell Joanna , Hamilton Sarah-Jane , Spence John , Annio Giacomo , Miller Renee , Troelstra Marian , Kothari Ashutosh , Hamed Hisham , Bitsakou Georgina , Sever Ali , Hasso Sultana , Giambrone Yasmin , Naranjo Isaac Daimiel , Ntailiani Katerina , Satchithananda Keshthra , Willson Sarah , Pinder Sarah , Rigg Anne , Nordsletten David , Neji Radhouene , Ng Tony , Purushotham Arnie , Sinkus Ralph
Published: August 2023

Approximately one-third of women with breast cancer undergoing neoadjuvant chemotherapy (NACT) have no discernible disease response to their treatment yet are subjected to the potential side-effects of their treatment. Currently, response to NACT is assessed by determining tumour size, contrast avidity, and lymph node involvement on MRI pre-, mid- and post-treatment. As a result, women undergo 3-4 cycles of NACT with unknown efficacy. Changes in a tumour’s biomechanics as assessed by magnetic resonance elastography (MRE) after only one cycle of NACT correlate with response to treatment, allowing for early assessment of a patient’s response to NACT.
Monitoring the response of breast tumors to neoadjuvant chemotherapy using multimodal magnetic resonance and optical imaging – a case study
Authors: Deng Bin , Muldoon Ailis , Itriago Pedro , Lo Wei-Ching , Saksena Mansi , Patz Samuel , Sinkus Ralph , Isakoff Steven , Carp Stefan
Published: August 2023

Functional imaging is advantageous in monitoring neoadjuvant chemotherapy (NACT) since changes in tumor physiology manifest earlier than actual tumor shrinkage. We leveraged a custom breast coil for multimodal T1, DWI, MRE, and near-infrared optical imaging to evaluate the response of breast tumors to NACT. In this case study of a patient who achieved pathologic complete response, concordant changes in tumor size, ADC, stiffness and total hemoglobin concentration have been observed. This multiparametric approach could help us gain a comprehensive understanding of the multitude of simultaneous physiological changes in tumors related to microenvironment, angiogenesis, and metabolism as a result of NACT.
IVIM Detects Bone Ischemia in a Piglet Model of Legg-Calvé-Perthes Disease
Authors: Buko Erick , Bhave Sampada , Tóth Ferenc , Johnson Casey
Published: August 2023

Intravoxel incoherent motion (IVIM) is a promising method to measure both tissue diffusion and perfusion using a single multi b-value diffusion-weighted imaging (DWI) acquisition. In this work, we investigated whether IVIM is sensitive in detecting surgically-induced femoral head ischemia in a piglet model of avascular necrosis. We found that the IVIM perfusion coefficient (Df) and fraction (f) decreased in the ischemic vs. contralateral-control femoral heads. Conversely, the IVIM diffusion coefficient (Ds) increased as a result of subsequent injury to the operated femoral head. These findings suggest that IVIM may provide a non-contrast-enhanced means to assess bone ischemia and perfusion.
Comprehensive Assessment of Osteoporosis in Lumbar Spine Using Compositional MR Imaging of Trabecular Bone
Authors: Liu Jin , Liao Jian-Wei , Feng Jia-Xin , Li Wei , Chen Xiao-Jun , Yao Lin , Huang Pan-Hui , Qian Long , Ma Ya-Jun , Li Shao-Lin
Published: August 2023

Compositional MR Imaging, which is combined of a Short TR Adiabatic Inversion Recovery prepared Ultrashort Echo Time (STAIR-UTE) and the Iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL-IQ) techniques, is developed to measure collagen bound water proton fraction, free water proton fraction, total water proton fraction of trabecular bone in lumbar spine. These biomarkers are highly correlated with bone mineral density, T score and Fracture Risk Assessment Tool scores, which demonstrates that the compositional MR imaging has great potential in diagnosis of patient with osteoporosis.
MRI Relaxation Times Change in the Metaphysis Following Ischemic Injury to the Femoral Head: An In Vivo Piglet Model Study
Authors: Buko Erick , Armstrong Alexandra , Tóth Ferenc , Johnson Casey
Published: August 2023

Quantitative mapping of T2, T1ρ, adiabatic T1ρ, and adiabatic T2ρ relaxation times may be useful to assess ischemic injury to the femoral head. In this work, we investigated whether these relaxation times are sensitive in detecting compositional changes to the primary spongiosa (the region of the metaphysis adjacent to the growth plate) following ischemic injury to the femoral head in a piglet model. We found that T1ρ and adiabatic T2ρ decreased in the primary spongiosa following ischemic injury to the femoral epiphysis, which suggests these methods may be useful to assess femoral head growth disturbances following ischemic injury.
Joint reconstruction of multi-TE diffusion MRI acquired using TDM-EPI with complementary k-space sampling
Authors: Ji Yang , Liao Congyu , Hoge William , Bilgic Berkin , Rathi Yogesh , Ning Lipeng
Published: August 2023

Combined diffusion-relaxometry has demonstrated promising capability to noninvasively probe tissue microstructure by joint modeling of relaxation coefficients and diffusivity. Our recent work has introduced a sequence based on the time-division multiplexing technique to accelerate the acquisition of relaxation-diffusion MRI. In this work, we further developed the TDM-EPI sequence by integrating ky-shifted k-space sampling strategies for data acquired at different TEs. Moreover, we implemented and compared several reconstruction methods to integrate complementary k-space samples to joint estimate images at different TEs. The results showed that the joint reconstruction approach can improve image quality and reduce artifact compared with conventional reconstruction methods.
Pitfalls of data-driven tSNR optimized coil combination for fMRI
Authors: Jamil Redouane , Mauconduit Franck , Le Ster Caroline , Ehses Philipp , Poser Benedikt A , Vignaud Alexandre , Boulant Nicolas
Published: August 2023

For MRI with a multi-receiver RF coil, one image per coil element and per time frame is obtained. The final image is typically calculated from the root sum of squares (rSoS) combination across channels. While this combination approach is quasi-optimal for SNR, it is not necessarily optimal for temporal SNR (tSNR) of the time-series. We present two analytical and voxel-wise coil combination expressions reaching optimality in tSNR and t-score for the mean (TSM) respectively. Their BOLD sensitivity is compared to the gold standard covariance root sum of squares. Both improved tSNR and TSM but yielded weaker t-scores than covSoS.
Evaluation of 3D SPARKLING readout for Sodium UTE MRI at ultra-high magnetic field
Authors: Baptista Renata Porciuncula , Vignaud Alexandre , R Chaithya G , Daval-Frérot Guillaume , Mauconduit Franck , Naudin Mathieu , Lapert Marc , Guillevin Remy , Ciuciu Philippe , Rabrait-Lerman Cécile , Boumezbeur Fawzi
Published: August 2023

Quantitative 23Na MRI provides useful information about brain tissue homeostasis. Most sequences use deterministic non-Cartesian 3D trajectories such as TPI. However, stochastic strategies such as SPARKLING could improve the coverage of k-space. This study evaluates the advantages of SPARKLING versus TPI. From in vivo datasets at 7T, we determined that undersampled SPARKLING acquisitions outperform TPI for (8 mm)3 resolution with a birdcage coil or for (4 mm)3 with a 32-channel coil. Through extrapolation of these results, we predict that at 11.7T/32-channel, 23Na MRI data could be acquired in 90s at (3 mm)3, which could be interesting for sodium fMRI imaging.
SPEN, RESOLVE and Spin-Echo EPI at 7T: A single-Tx human brain scan comparison
Authors: Otikovs Martins , Frydman Lucio
Published: August 2023

Spatiotemporal encoding (SPEN) is an ultrafast imaging technique, that can serve as useful alternative to single shot and to read-out segmented (RESOLVE) spin-echo (SE) EPI methods, when trying to overcome image distortions due to magnetic field (B0) inhomogeneities. SPEN’s reliance on adiabatic sweeps could also make it an attractive candidate for imaging at high fields, and overcoming B1+-related inhomogeneities. Herein we present phantom and in-vivo results acquired on a 7T human imaging system for single and multi-shot SPEN acquisitions, corroborating its robustness vs comparable single and multi-shot SE-EPI and RESOLVE acquisitions implemented on a single-Tx configuration.
Deployment of prospective ADC correction of gradient nonlinearity bias in myelofibrosis clinical trial
Authors: Malyarenko Dariya , Pang Yuxi , Devaraj Ajit , Peeters Johannes , Friel Harry , Pettit Kristen , Talpaz Moshe , Ross Brian , Luker Gary , Chenevert Thomas
Published: August 2023

Apparent diffusion coefficient (ADC) metric is evaluated as a potential alternative to biopsy for disease grading and therapy response assessment in bone marrow of myelofibrosis (MF) patients. Spatially dependent bias in diffusion weighting due to systematic gradient nonlinearity (GNL) results in false heterogeneity of ADC maps over the imaged bone space. Here we illustrate deployment of prospective GNL bias correction based on technology developed in an academic industrial partnership to reduce technical variability of ADC in a MF clinical imaging trial.
Semi-supervised learning for fast multi-compartment relaxometry myelin water imaging (MCR-MWI)
Authors: Chan Kwok-Shing , Kim Tae Hyung , Bilgic Berkin , Marques José
Published: August 2023

Myelin water imaging using multi-compartment relaxometry (MCR-MWI) improves the GRE-MWI robustness and accuracy but suffered from slow processing speed. In this study, we incorporate both supervised and self-supervised machine learning for fast MCR-MWI that is generalisable to a wide range of acquisition parameters without the need to re-train the network. We demonstrate its application on single compartment fitting and MCR-MWI. Results show that the proposed method can produce comparable high SNR results with a 62-fold shorter processing time.
In-vivo microstructural characterisation of first and higher order thalamic nuclei: a diffusion kurtosis imaging study
Authors: Hübner Sebastian , Novello Lisa , Tomezzoli Giacomo , Jovicich Jorge
Published: August 2023

The thalamus is a primary station for information processing within the brain. It is composed of a collection of nuclei with different histological and functional properties, classified as First Order (FO, processing sensory input) or Higher Order (HO, playing associative roles). We used diffusion-weighted MRI (dMRI) to investigate microstructural properties of FO and HO thalamic nuclei, focusing on fractional anisotropy, mean diffusivity, and mean kurtosis derived from Diffusion Kurtosis Imaging (DKI). This initial evidence suggests that DKI might capture distinctive features of FO and HO thalamic nuclei, and paves the way to further studies investigating nucleus-specific microstructural effects with DKI.