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A new sequence for single-voxel diffusion-weighted 1H MRS (DWS), named DW-SPECIAL, is proposed to improve the detection and subsequent estimation of the diffusion properties of strongly J-coupled metabolites. It combines the semi-adiabatic…

Medical Physics · Physics 2023-11-21 Jessie Mosso , Dunja Simicic , Bernard Lanz , Rolf Gruetter , Cristina Cudalbu

Diffusion-weighted magnetic resonance imaging (dMRI) allows non-invasive investigation of whole-brain connectivity, which can potentially help to reveal the brain's global network architecture and abnormalities involved in neurological and…

Automatic magnetic resonance (MR) image processing pipelines are widely used to study people with multiple sclerosis (PwMS), encompassing tasks such as lesion segmentation and brain parcellation. However, the presence of lesion often…

Image and Video Processing · Electrical Eng. & Systems 2024-10-08 Jinwei Zhang , Lianrui Zuo , Yihao Liu , Samuel Remedios , Bennett A. Landman , Jerry L. Prince , Aaron Carass

Melanoma is an aggressive neoplasm responsible for the majority of deaths from skin cancer. Specifically, spitzoid melanocytic tumors are one of the most challenging melanocytic lesions due to their ambiguous morphological features. The…

Image and Video Processing · Electrical Eng. & Systems 2021-04-21 Rocío del Amor , Laëtitia Launet , Adrián Colomer , Anaïs Moscardó , Andrés Mosquera-Zamudio , Carlos Monteagudo , Valery Naranjo

Quantifying muscle tissue properties is crucial for understanding pathophysiological changes occurring in skeletal muscle (SM). In particular, T2 relaxation and diffusion MRI (dMRI) are promising techniques. However, typical methods measure…

Glioblastoma (GBM) is an aggressive primary brain tumor with a median survival of approximately 15 months. In clinical practice, the Stupp protocol serves as the standard first-line treatment. However, patients exhibit highly heterogeneous…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Alexandre G. Leclercq , Sébastien Bougleux , Noémie N. Moreau , Alexis Desmonts , Romain Hérault , Aurélien Corroyer-Dulmont

Malignant lymphoma subtype classification directly impacts treatment strategies and patient outcomes, necessitating classification models that achieve both high accuracy and sufficient explainability. This study proposes a novel explainable…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Daiki Nishiyama , Hiroaki Miyoshi , Noriaki Hashimoto , Koichi Ohshima , Hidekata Hontani , Ichiro Takeuchi , Jun Sakuma

The purpose of the present work is a theoretical examination of how localized skin-tissue dehydration affects the depth of the confocal probing and what depth of effective detection can be reached with the chemical administration of skin…

Medical Physics · Physics 2007-05-23 I. V. Meglinski , D. Y. Churmakov , A. N. Bashkatov , E. A. Genina , V. V. Tuchin

The identification and validation of gene-gene interactions is a major challenge in human studies. Here, we explore an approach for studying epistasis in humans using a Drosophila melanogaster model of neonatal diabetes mellitus. Expression…

Schizophrenia (SZ) is a severe brain disorder marked by diverse cognitive impairments, abnormalities in brain structure, function, and genetic factors. Its complex symptoms and overlap with other psychiatric conditions challenge traditional…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Nagur Shareef Shaik , Teja Krishna Cherukuri , Vince D. Calhoun , Dong Hye Ye

Naturalistic fMRI has been suggested to be a powerful alternative for investigations of human brain function. Stimulus-induced activation has been playing an essential role in fMRI-based brain function analyses. Due to the complexity of the…

Neurons and Cognition · Quantitative Biology 2022-12-06 Jiangcong Liu , Hao Ma , Yun Guan , Fan Wu , Le Xu , Yang Zhang , Lixia Tian

Tracking the migration of superparamagnetic iron oxide (SPIO) labeled immune cells in vivo is valuable for understanding the immunogenic response to cancer and therapies. Quantitative cell tracking using compressed sensing TurboSPI-based…

Medical Physics · Physics 2019-03-05 Zoe O'Brien-Moran , Chris V. Bowen , James A. Rioux , Kimberly D. Brewer

Although rodent models are a predominant study model in neuroscience research, research investigating healthy rodent brain maturation remains limited. This motivates further study of normal brain maturation in rodents to exclude confounds…

Medical Physics · Physics 2023-09-28 Naila Rahman , Jake Hamilton , Kathy Xu , Arthur Brown , Corey A. Baron

Changes in the nervous system due to neurological diseases take place at very small spatial scales, on the order of the micro and nanometers. Developing non-invasive imaging methods for obtaining this microscopic information as quantitative…

Magnetic resonance imaging (MRI) relies on radiofrequency (RF) excitation of proton spin. Clinical diagnosis requires a comprehensive collation of biophysical data via multiple MRI contrasts, acquired using a series of RF sequences that…

Medical Physics · Physics 2025-12-24 Dinor Nagar , Moritz Zaiss , Or Perlman

Magnetic resonance spectroscopy (MRS) is an important clinical imaging method for diagnosis of diseases. MRS spectrum is used to observe the signal intensity of metabolites or further infer their concentrations. Although the magnetic…

The differentiation between tumor recurrence and radiation-induced contrast enhancements in post-treatment glioblastoma patients remains a major clinical challenge. Existing approaches rely on clinically sparsely available diffusion MRI or…

Axonal damage is the primary pathological correlate of long-term impairment in multiple sclerosis (MS). Previous work has demonstrated a strong, quantitative relationship between decrease in axial diffusivity and axonal damage. In the…

Computational Engineering, Finance, and Science · Computer Science 2024-10-15 Nand Sharma

Accurate grading of Conjunctival Melanocytic Intraepithelial Lesions (CMIL) is essential for treatment and melanoma prediction but remains difficult due to subtle morphological cues and interrelated diagnostic criteria. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Mert Ikinci , Luna Toma , Karin U. Loeffler , Leticia Ussem , Daniela Süsskind , Julia M. Weller , Yousef Yeganeh , Martina C. Herwig-Carl , Shadi Albarqouni

Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely used for the preliminary screening of gliomas and plays a crucial role in auxiliary diagnosis, therapeutic efficacy, and prognostic…

Image and Video Processing · Electrical Eng. & Systems 2025-05-27 Yihao Liu , Zhihao Cui , Liming Li , Junjie You , Xinle Feng , Jianxin Wang , Xiangyu Wang , Qing Liu , Minghua Wu
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