دورية أكاديمية

Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation.

التفاصيل البيبلوغرافية
العنوان: Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation.
المؤلفون: Vidal JP; CNRS, CerCo (Brain and Cognition Research Center), Paul Sabatier University, Toulouse, France.; INSERM, ToNiC (Toulouse NeuroImaging Center), Paul Sabatier University, Toulouse, France., Danet L; INSERM, ToNiC (Toulouse NeuroImaging Center), Paul Sabatier University, Toulouse, France.; Neurology Department, Purpan Hospital, Toulouse University Hospital Center, Toulouse, France., Péran P; INSERM, ToNiC (Toulouse NeuroImaging Center), Paul Sabatier University, Toulouse, France., Pariente J; INSERM, ToNiC (Toulouse NeuroImaging Center), Paul Sabatier University, Toulouse, France.; Neurology Department, Purpan Hospital, Toulouse University Hospital Center, Toulouse, France., Bach Cuadra M; CIBM Center for Biomedical Imaging, Radiology Department, Lausanne University and University Hospital, Lausanne, Switzerland., Zahr NM; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA., Barbeau EJ; CNRS, CerCo (Brain and Cognition Research Center), Paul Sabatier University, Toulouse, France., Saranathan M; Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA. manojkumar.saranathan@umassmed.edu.
المصدر: Brain structure & function [Brain Struct Funct] 2024 Jun; Vol. 229 (5), pp. 1087-1101. Date of Electronic Publication: 2024 Mar 28.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101282001 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1863-2661 (Electronic) Linking ISSN: 18632653 NLM ISO Abbreviation: Brain Struct Funct Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Berlin : Springer-Verlag, c2007-
مواضيع طبية MeSH: Magnetic Resonance Imaging*/methods , Thalamic Nuclei*/diagnostic imaging , Image Processing, Computer-Assisted*/methods, Humans ; Female ; Neural Networks, Computer ; Male ; Adult ; White Matter/diagnostic imaging
مستخلص: Accurate segmentation of thalamic nuclei, crucial for understanding their role in healthy cognition and in pathologies, is challenging to achieve on standard T1-weighted (T1w) magnetic resonance imaging (MRI) due to poor image contrast. White-matter-nulled (WMn) MRI sequences improve intrathalamic contrast but are not part of clinical protocols or extant databases. In this study, we introduce histogram-based polynomial synthesis (HIPS), a fast preprocessing transform step that synthesizes WMn-like image contrast from standard T1w MRI using a polynomial approximation for intensity transformation. HIPS was incorporated into THalamus Optimized Multi-Atlas Segmentation (THOMAS) pipeline, a method developed and optimized for WMn MRI. HIPS-THOMAS was compared to a convolutional neural network (CNN)-based segmentation method and THOMAS modified for the use of T1w images (T1w-THOMAS). The robustness and accuracy of the three methods were tested across different image contrasts (MPRAGE, SPGR, and MP2RAGE), scanner manufacturers (PHILIPS, GE, and Siemens), and field strengths (3 T and 7 T). HIPS-transformed images improved intra-thalamic contrast and thalamic boundaries, and HIPS-THOMAS yielded significantly higher mean Dice coefficients and reduced volume errors compared to both the CNN method and T1w-THOMAS. Finally, all three methods were compared using the frequently travelling human phantom MRI dataset for inter- and intra-scanner variability, with HIPS displaying the least inter-scanner variability and performing comparably with T1w-THOMAS for intra-scanner variability. In conclusion, our findings highlight the efficacy and robustness of HIPS in enhancing thalamic nuclei segmentation from standard T1w MRI.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
التعليقات: Update of: medRxiv. 2024 Feb 01:2024.01.30.24301606. doi: 10.1101/2024.01.30.24301606. (PMID: 38352493)
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معلومات مُعتمدة: R01 EB032674 United States EB NIBIB NIH HHS; 7R01EB032674 United States EB NIBIB NIH HHS
فهرسة مساهمة: Keywords: Structural imaging; THOMAS; Thalamic nuclei segmentation; Thalamus
تواريخ الأحداث: Date Created: 20240328 Date Completed: 20240603 Latest Revision: 20240607
رمز التحديث: 20240607
مُعرف محوري في PubMed: PMC11147736
DOI: 10.1007/s00429-024-02777-5
PMID: 38546872
قاعدة البيانات: MEDLINE
الوصف
تدمد:1863-2661
DOI:10.1007/s00429-024-02777-5