Brain Structure and Function最新文献

筛选

英文中文

Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation 利用多项式强度变换从 T1 加权磁共振成像中稳健地分割丘脑核团

Brain Structure and Function Pub Date : 2024-03-28 DOI: 10.1007/s00429-024-02777-5

Julie P. Vidal, Lola Danet, Patrice Péran, Jérémie Pariente, Meritxell Bach Cuadra, Natalie M. Zahr, Emmanuel J. Barbeau, Manojkumar Saranathan

{"title":"Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation","authors":"Julie P. Vidal, Lola Danet, Patrice Péran, Jérémie Pariente, Meritxell Bach Cuadra, Natalie M. Zahr, Emmanuel J. Barbeau, Manojkumar Saranathan","doi":"10.1007/s00429-024-02777-5","DOIUrl":"https://doi.org/10.1007/s00429-024-02777-5","url":null,"abstract":"<h3>Abstract</h3> 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.","PeriodicalId":518000,"journal":{"name":"Brain Structure and Function","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140317080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assigning a social status from face adornments: an fMRI study 从脸部装饰品判断社会地位：fMRI 研究

Brain Structure and Function Pub Date : 2024-03-28 DOI: 10.1007/s00429-024-02786-4

M Salagnon, F d’Errico, S Rigaud, E Mellet

引用次数: 0

Comparative MRI analysis of the forebrain of three sauropsida models 三种长尾猴模型前脑的核磁共振成像对比分析

Brain Structure and Function Pub Date : 2024-03-28 DOI: 10.1007/s00429-024-02788-2

S Jiménez, I Santos-Álvarez, E Fernández-Valle, D Castejón, P Villa-Valverde, C Rojo-Salvador, P Pérez-Llorens, M. J. Ruiz-Fernández, S. Ariza-Pastrana, R. Martín-Orti, Juncal González-Soriano, Nerea Moreno

{"title":"Comparative MRI analysis of the forebrain of three sauropsida models","authors":"S Jiménez, I Santos-Álvarez, E Fernández-Valle, D Castejón, P Villa-Valverde, C Rojo-Salvador, P Pérez-Llorens, M. J. Ruiz-Fernández, S. Ariza-Pastrana, R. Martín-Orti, Juncal González-Soriano, Nerea Moreno","doi":"10.1007/s00429-024-02788-2","DOIUrl":"https://doi.org/10.1007/s00429-024-02788-2","url":null,"abstract":"The study of the brain by magnetic resonance imaging (MRI) allows to obtain detailed anatomical images, useful to describe specific encephalic structures and to analyze possible variabilities. It is widely used in clinical practice and is becoming increasingly used in veterinary medicine, even in exotic animals; however, despite its potential, its use in comparative neuroanatomy studies is still incipient. It is a technology that in recent years has significantly improved anatomical resolution, together with the fact that it is non-invasive and allows for systematic comparative analysis. All this makes it particularly interesting and useful in evolutionary neuroscience studies, since it allows for the analysis and comparison of brains of rare or otherwise inaccessible species. In the present study, we have analyzed the prosencephalon of three representative sauropsid species, the turtle Trachemys scripta (order Testudine), the lizard Pogona vitticeps (order Squamata) and the snake Python regius (order Squamata) by MRI. In addition, we used MRI sections to analyze the total brain volume and ventricular system of these species, employing volumetric and chemometric analyses together. The raw MRI data of the sauropsida models analyzed in the present study are available for viewing and downloading and have allowed us to produce an atlas of the forebrain of each of the species analyzed, with the main brain regions. In addition, our volumetric data showed that the three groups presented clear differences in terms of total and ventricular brain volumes, particularly the turtles, which in all cases presented distinctive characteristics compared to the lizards and snakes.","PeriodicalId":518000,"journal":{"name":"Brain Structure and Function","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140317082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0