arXiv:2512.02702v1 Announce Type: new 
Abstract: The UK Biobank is a large-scale study collecting whole-body MR imaging and non-imaging health data. Robust and accurate inter-subject image registration of these whole-body MR images would enable their body-wide spatial standardization, and region-/voxel-wise correlation analysis of non-imaging data with image-derived parameters (e.g., tissue volume or fat content).
  We propose a sex-stratified inter-subject whole-body MR image registration approach that uses subcutaneous adipose tissue- and muscle-masks from the state-of-the-art VIBESegmentator method to augment intensity-based graph-cut registration. The proposed method was evaluated on a subset of 4000 subjects by comparing it to an intensity-only method as well as two previously published registration methods, uniGradICON and MIRTK. The evaluation comprised overlap measures applied to the 71 VIBESegmentator masks: 1) Dice scores, and 2) voxel-wise label error frequency. Additionally, voxel-wise correlation between age and each of fat content and tissue volume was studied to exemplify the usefulness for medical research.
  The proposed method exhibited a mean dice score of 0.77 / 0.75 across the cohort and the 71 masks for males/females, respectively. When compared to the intensity-only registration, the mean values were 6 percentage points (pp) higher for both sexes, and the label error frequency was decreased in most tissue regions. These differences were 9pp / 8pp against uniGradICON and 12pp / 13pp against MIRTK. Using the proposed method, the age-correlation maps were less noisy and showed higher anatomical alignment.
  In conclusion, the image registration method using two tissue masks improves whole-body registration of UK Biobank images.

تم اقتراح طريقة جديدة لتسجيل صور الرنين المغناطيسي للجسم بالكامل بين الأفراد في دراسة مرجعية تشمل بنك المملكة المتحدة الحيوي. تستخدم هذه الطريقة أقنعة الأنسجة من طريقة VIBESegmentator لتعزيز دقة تسجيل الصور، وتم تقييمها على مجموعة فرعية من 4000 موضوع مقارنةً بأساليب موجودة مثل uniGradICON وMIRTK.

Se ha propuesto un nuevo método para el registro de imágenes MR corporales inter-sujet en un estudio de referencia que involucra al UK Biobank. Este enfoque utiliza máscaras de tejido del método VIBESegmentator para mejorar la precisión del registro de imágenes, evaluado en un subconjunto de 4000 sujetos en comparación con métodos existentes como uniGradICON y MIRTK.

Une nouvelle méthode d'enregistrement d'images MR corporelles inter-sujets a été proposée dans une étude de référence impliquant le UK Biobank. Cette approche utilise des masques de tissus issus de la méthode VIBESegmentator pour améliorer la précision de l'enregistrement d'images, évaluée sur un sous-ensemble de 4000 sujets par rapport à des méthodes existantes comme uniGradICON et MIRTK.

A new method for inter-subject whole-body MR image registration has been proposed in a benchmarking study involving the UK Biobank. This approach utilizes tissue masks from the VIBESegmentator method to enhance the accuracy of image registration, evaluated on a subset of 4000 subjects against existing methods like uniGradICON and MIRTK.

Tissue-mask supported inter-subject whole-body image registration in the UK Biobank - A method benchmarking study

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