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A cascaded multi-planar scheme with a modified residual U-Net architecture was used to segment thalamic nuclei on conventional and white-matter-nulled (WMn) magnetization prepared rapid gradient echo (MPRAGE) data. A single network was…

Image and Video Processing · Electrical Eng. & Systems 2020-08-26 Mohammad S Majdi , Mahesh B Keerthivasan , Brian K Rutt , Natalie M Zahr , Jeffrey J Rodriguez , Manojkumar Saranathan

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.…

Image and Video Processing · Electrical Eng. & Systems 2023-04-17 Julie P. Vidal , Lola Danet , Patrice Péran , Jérémie Pariente , Meritxell Bach Cuadra , Natalie M. Zahr , Emmanuel J. Barbeau , Manojkumar Saranathan

Thalamic nuclei have been implicated in several neurological diseases. WMn-MPRAGE images have been shown to provide better intra-thalamic nuclear contrast compared to conventional MPRAGE images but the additional acquisition results in…

Machine Learning · Computer Science 2020-12-18 Lavanya Umapathy , Mahesh Bharath Keerthivasan , Natalie M. Zahr , Ali Bilgin , Manojkumar Saranathan

Accurate segmentation of thalamic nuclei from magnetic resonance images is important due to the distinct roles of these nuclei in overall brain function and to their differential involvement in neurological and psychiatric disorders.…

Image and Video Processing · Electrical Eng. & Systems 2025-12-08 Anqi Feng , Zhangxing Bian , Samuel W. Remedios , Savannah P. Hays , Blake E. Dewey , Alexa Colinco , Jiachen Zhuo , Dan Benjamini , Jerry L. Prince

Accurate segmentation of thalamic nuclei is important for better understanding brain function and improving disease treatment. Traditional segmentation methods often rely on a single T1-weighted image, which has limited contrast in the…

Image and Video Processing · Electrical Eng. & Systems 2024-09-12 Anqi Feng , Zhangxing Bian , Blake E. Dewey , Alexa Gail Colinco , Jiachen Zhuo , Jerry L. Prince

Thalamic alterations are relevant to many neurological disorders including Alzheimer's disease, Parkinson's disease and multiple sclerosis. Routine interventions to improve symptom severity in movement disorders, for example, often consist…

Computer Vision and Pattern Recognition · Computer Science 2018-07-31 Veronica Corona , Jan Lellmann , Peter Nestor , Carola-Bibiane Schoenlieb , Julio Acosta-Cabronero

The thalamus is a subcortical structure of central importance to brain function, which is organized in smaller nuclei with specialized roles. Despite significant functional and clinical relevance, locating and distinguishing the different…

The thalamus and its constituent nuclei are critical for a broad range of cognitive and sensorimotor processes, and implicated in many neurological and neurodegenerative conditions. However, the functional involvement and specificity of…

Image and Video Processing · Electrical Eng. & Systems 2023-09-27 Brendan Williams , Dan Nguyen , Julie Vidal , Alzheimer's Disease Neuroimaging Initiative , Manojkumar Saranathan

The human thalamus is a highly connected subcortical grey-matter structure within the brain. It comprises dozens of nuclei with different function and connectivity, which are affected differently by disease. For this reason, there is…

The implication of the thalamus in multiple neurological pathologies makes it a structure of interest for volumetric analysis. In the present work, we have designed and implemented a multimodal volumetric deep neural network for the…

The thalamus is a subcortical gray matter structure that plays a key role in relaying sensory and motor signals within the brain. Its nuclei can atrophy or otherwise be affected by neurological disease and injuries including mild traumatic…

Image and Video Processing · Electrical Eng. & Systems 2023-02-02 Chang Yan , Muhan Shao , Zhangxing Bian , Anqi Feng , Yuan Xue , Jiachen Zhuo , Rao P. Gullapalli , Aaron Carass , Jerry L. Prince

Accurate thalamic nuclei segmentation is crucial for understanding neurological diseases, brain functions, and guiding clinical interventions. However, the optimal inputs for segmentation remain unclear. This study systematically evaluates…

Image and Video Processing · Electrical Eng. & Systems 2025-08-19 Anqi Feng , Zhangxing Bian , Samuel W. Remedios , Savannah P. Hays , Blake E. Dewey , Jiachen Zhuo , Dan Benjamini , Jerry L. Prince

Motivation: Lack of tools for comprehensive and complete segmentation of deep grey nuclei using a single software for reproducibility and repeatability Goal(s): A fast accurate and robust method for segmentation of deep grey nuclei…

Image and Video Processing · Electrical Eng. & Systems 2025-03-31 Manojkumar Saranathan , Giuseppina Cogliandro , Thomas Hicks , Dianne Patterson , Behroze Vachha , Alberto Cacciola

The thalamus consists of several histologically and functionally distinct nuclei increasingly implicated in brain pathology and important for treatment, motivating the need for development of fast and accurate thalamic segmentation. The…

Image and Video Processing · Electrical Eng. & Systems 2019-12-19 Charles Iglehart , Martin Monti , Joshua Cain , Thomas Tourdias , Manojkumar Saranathan

Deep Brain Stimulation (DBS) is one of the most successful methods to diminish late-stage Parkinson's Disease (PD) symptoms. It is a delicate surgical procedure which requires detailed pre-surgical patient's study. High-field Magnetic…

Image and Video Processing · Electrical Eng. & Systems 2024-07-23 Tomás Lima , Igor Varga , Eduard Bakštein , Daniel Novák , Victor Alves

The human thalamus is a brain structure that comprises numerous, highly specific nuclei. Since these nuclei are known to have different functions and to be connected to different areas of the cerebral cortex, it is of great interest for the…

The diagnosis and segmentation of tumors using any medical diagnostic tool can be challenging due to the varying nature of this pathology. Magnetic Reso- nance Imaging (MRI) is an established diagnostic tool for various diseases and…

Computer Vision and Pattern Recognition · Computer Science 2017-11-01 Tanvi Gupta , Pranay Manocha , Tapan K. Gandhi , RK Gupta , BK Panigrahi

Purpose: To implement and evaluate a sequential approach to obtain semi-quantitative T1-weighted MPRAGE images, unbiased by B1 inhomogeneities at 7T. Methods: In the reference gradient echo used for normalization of the MPRAGE image, flip…

Medical Physics · Physics 2021-05-13 H. Olsson , G. Helms

Segmentation of structural and diffusion MRI (sMRI/dMRI) is usually performed independently in neuroimaging pipelines. However, some brain structures (e.g., globus pallidus, thalamus and its nuclei) can be extracted more accurately by…

Computer Vision and Pattern Recognition · Computer Science 2019-03-12 Juan Eugenio Iglesias , Koen Van Leemput , Polina Golland , Anastasia Yendiki

While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. Changes in T1 in the brain reflect structural changes in…

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