Medical Image Quality Assessment

Latest papers

21 papers3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

A $^3$ PreCore: Robust Rigid Registration for Native FLAIR-Space Brain-Mask Transfer
Oct 14, 2026Elmira Mirzabeigi, Zahra Khalilzad, Taylor Snowden-Richardson +4Medical Image Quality Assessment Medical Image Registration
Faubert Laboratory, School of Optometry, Université de Montréal, 3744 Jean-Brillant, Montréal, Québec H3T 1P1, Canada · Department of Psychology, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia V8P 5C2, Canada · Division of Medical Sciences, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia V8P 5C2, Canada
RIQE: a NIQE-style reference model for Computed Tomography
Sep 30, 2026Fabio MattiussiImage Quality Assessment Computed Tomography
EOC
WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
Sep 21, 2026Philip Nkwam, Ifeoluwa Oladeji, Sekinat Zurakat-Aderibigbe +9Medical Image Analysis Magnetic Resonance Imaging
Department of Radiography, Faculty of Health Professions, College of Medicine, University of Lagos, Nigeria. · Medical Artificial Intelligence Laboratory, Crestview Radiology Ltd., Lagos, Nigeria. · Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada. +3
A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging
Sep 17, 2026Bahram Jafrasteh, Leo Milecki, Qingyu ZhaoMedical Image Analysis Image Reconstruction
Department of Radiology, Weill Cornell Medicine, New York, NY, USA
LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MR
Sep 2, 2026Jonathan B. Martin, Yashwant Kurmi, Charlotte R. SappoMedical Image Quality Assessment Medical Image Analysis
Vanderbilt University Institute of Imaging Science, Nashville, TN, USA
Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning
Aug 21, 2026Bipasha Kundu, Abhishek Chaturvedi, Axel W. E. Wismueller +2Medical Image Quality Assessment Image Quality Assessment
Carlson Centre of Imaging Sceince, RIT, Rochester, NY, USA · Department of Imaging Sciences, University of Rochester Medical Center, NY, USA · Biomedical Engineering, RIT, Rochester, NY, USA
CBCT-IQ: A Publicly Available Annotated Cone-Beam CT Dataset for Image Quality Assessment and Benchmarking
Jul 31, 2026Sepideh Hatamikia, Anna Breger, Clemens Karner +14Cone-Beam CT Image Quality Assessment
Austrian Center for Medical Innovation and Technology (ACMIT), Wiener Neustadt, Austria · Department of Medicine, Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria · Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria +8
Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency
Jul 7, 2026Yinheng Zhu, Xiaowei XuMedical Image Quality Assessment Medical Image Segmentation
Tsinghua University, Beijing, China · Guangdong Provincial People’s Hospital, Guangzhou, China
Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias
Jul 2, 2026Sofiane Ouaari, Kevin Vorwalder, Nico PfeiferVLM Evaluation Image Corruption Robustness
Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Germany. · Institute for Bioinformatics and Medical Informatics (IBMI), University of Tuebingen, Germany.
FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images
Jun 24, 2026Pengwei Wang, José Morano, Virginia Mares +1Fundus Imaging Explainable Medical Image Analysis
Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria · Christian Doppler Lab for Artificial Intelligence in Retina, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria
EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors
Jun 18, 2026Pengwei Wang, José Morano, Qian Wan +1Fundus Imaging Explainable Medical Image Analysis
Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Austria · Christian Doppler Lab for Artificial Intelligence in Retina, Medical University of Vienna, Austria
ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment
Jun 9, 2026Xianye Xiao, Yulong Zou, Yujie Luo +6Image Quality Assessment Computed Tomography
School of Mathematics and Computer Sciences, Nanchang University, Nanchang 330031, China · School of Information Engineering, Nanchang University, Nanchang 330031, China · Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China +3
Constructing efficient channels for ideal observers using the conjugate gradient method
May 28, 2026Weimin ZhouMedical Imaging Image Quality Assessment
University of Arizona, Wyant College of Optical Sciences, Tucson, AZ 85721, USA · University of Arizona, Department of Radiology & Imaging Sciences, Tucson, AZ 85721, USA
CRAFT: Clinical Reward-Aligned Finetuning for Medical Image Synthesis
May 12, 2026Yunsung Chung, Alex El Darzi, Carlo El Khoury +3Diffusion Model Alignment Healthcare
Department of Computer Science, Tulane University, New Orleans, LA 70118 · School of Medicine, Tulane University, New Orleans, LA 70112
Attention-Gated Convolutional Networks for Scanner-Agnostic Quality Assessment
Apr 16, 2026Chinmay Bakhale, Anil SaoHybrid CNN-Transformer Architectures Medical Image Analysis
Indian Institute of Technology, Bhilai, India
AC-MIL: Weakly Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement
Apr 11, 2026K M Arefeen Sultan, Kaysen Hansen, Benjamin Orkild +7Medical Image Quality Assessment Medical Image Analysis
Scientific Computing and Imaging Institute, University of Utah, SLC, UT · Kahlert School of Computing, University of Utah, SLC, UT · Department of Biomedical Engineering, University of Utah, SLC, UT +4
Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement
Apr 4, 2026Xuanzhao Dong, Wenhui Zhu, Xiwen Chen +8Medical Image Quality Assessment Image Enhancement
Arizona State University · Clemson University · LinkedIn Corporation +1
When AI and Experts Agree on Error: Intrinsic Ambiguity in Dermatoscopic Images
Apr 1, 2026Loris Cino, Pier Luigi Mazzeo, Alessandro Martella +3Medical Image Quality Assessment Skin Lesion Classification
Sapienza - Dipartimento di Ingegneria informatica, automatica e gestionale (DIAG) , V. Ariosto, 25, Rome, 00185, Lazio, Italy · Istituto di Scienze Applicate e Sistemi Intelligenti (ISASI), Consiglio Nazionale delle Ricerche (CNR), Via Monteroni s.n, Lecce, 73100, Italy · Dermatologia Myskin, Poliambulatorio Specialistico Medico-Chirurgico, Via S. Marco, 21, Tiggiano, 73030, Puglia, Italy +2
MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment
Mar 20, 2026Jiyao Liu, Junzhi Ning, Wanying Qu +4Medical Image Quality Assessment Medical Image Analysis
Fudan University, Shanghai, China · Shanghai Artificial Intelligence Laboratory, Shanghai, China
CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
Mar 19, 2026Xiang Chen, Fangfang Yang, Chunlei Meng +6Medical Image Quality Assessment VLM Robustness
MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling
Mar 19, 2026Jiyao Liu, Junzhi Ning, Wanying Qu +4Medical Image Quality Assessment Medical Image Analysis
Fudan University, Shanghai, China · Shanghai Artificial Intelligence Laboratory, Shanghai, China

Oct 14, 2026J/K move · Enter open · S save

A $^3$ PreCore: Robust Rigid Registration for Native FLAIR-Space Brain-Mask Transfer

Elmira Mirzabeigi, Zahra Khalilzad, Taylor Snowden-Richardson, Jesus Eduardo Lugo Arce+3

Faubert Laboratory, School of Optometry, Université de Montréal, 3744 Jean-Brillant, Montréal, Québec H3T 1P1, Canada · Department of Psychology, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia V8P 5C2, Canada · Division of Medical Sciences, University of Victoria, 3800 Finnerty Road, Victoria, British Columbia V8P 5C2, Canada

Medical Image Quality Assessment Medical Image Registration Brain MRI Cross-Modal Image Registration

Open paper AskPDF arXiv

Reliable brain-mask transfer into native fluid-attenuated inversion recovery (FLAIR) space can fail when T1-to-FLAIR rigid registration is unstable. We developed A

^3

PreCore, a six-degree-of-freedom rigid-registration strategy that aligns the full bias-corrected T1-weighted image to native FLAIR using normalized mutual information while preserving the established T1-space anatomical mask. We also introduced extended quantitative quality control (E-QC), which characterizes mask extent, field-of-view-relative position, FLAIR intensity support, boundary support, inferior morphology, and pairwise geometric disagreement. In 78 participants with paired T1-weighted and FLAIR imaging, A

^3

PreCore was compared with fsl_anat and the Brain Extraction Tool (BET). Gross rigid-body misregistration occurred in 21/78 fsl_anat outputs (26.9%) and 0/78 A

^3

PreCore outputs (exact two-sided McNemar p=9.54 x 10^-7). Among 57 participants without gross fsl_anat misregistration, A

^3

PreCore preserved close agreement (median Dice=0.993; median paired Delta NMI=-0.00007, p=0.429). A

^3

PreCore remained broadly concordant with BET (median Dice=0.955), with less inferior and extracranial extension in representative comparisons. Method-blinded neuroscientists ranked A

^3

PreCore first in 35/40 participants (87.5%). E-QC additionally exposed severe orientation-related disagreement not evident from global descriptors or centroid displacement alone. These findings support A

^3

PreCore as a robust native-FLAIR brain-mask transfer strategy and E-QC as a complementary framework for multidimensional mask characterization and participant-specific geometric quality control.