Multi‐atlas thalamic nuclei segmentation on standard T1‐weighed MRI with application to normal aging
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26088
Abstract: Specific thalamic nuclei are implicated in healthy aging and age‐related neurodegenerative diseases. However, few methods are available for robust automated segmentation of thalamic nuclei. The threefold aims of this study were to validate the use… read more here.
Keywords: thalamic nuclei; nuclei segmentation; age; standard ... See more keywords
Multi-atlas segmentation of the facial nerve from clinical CT for virtual reality simulators
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-019-02091-0
Abstract: Purpose To create a novel, multi-atlas-based segmentation algorithm of the facial nerve (FN) requiring minimal user intervention that could be easily deployed into an existing open-source toolkit. Specifically, the mastoid, tympanic and labyrinthine segments of… read more here.
Keywords: segmentation; multi atlas; virtual reality; facial nerve ... See more keywords
A novel multi-atlas and multi-channel (MAMC) approach for multiple sclerosis lesion segmentation in brain MRI
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01440-5
Abstract: This paper presents a novel approach for automatic segmentation of MS lesion including both of number and volume. The novelty includes the combination of the multiplicative intrinsic component optimization algorithm (Li et al. in Magn… read more here.
Keywords: multi atlas; approach; image; segmentation ... See more keywords
Mammogram segmentation using multi-atlas deformable registration.
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.06.001
Abstract: Accurate breast region segmentation is an important step in various automated algorithms involving detection of lesions like masses and microcalcifications, and efficient telemammography. While traditional segmentation algorithms underperform due to variations in image quality and… read more here.
Keywords: segmentation using; using multi; segmentation; mammogram segmentation ... See more keywords
Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning
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DOI: 10.1016/j.ejmp.2017.02.017
Abstract: Highlights • Establishing MRI-only RTP workflows requires synthetic CTs for dose calculation.• This study evaluates the feasibility of using a multi-atlas CT synthesis approach.• The proposed method was validated on head and neck and prostate… read more here.
Keywords: multi atlas; atlas synthesis; synthesis approach; mri ... See more keywords
Thalamus Optimized Multi Atlas Segmentation (THOMAS): fast, fully automated segmentation of thalamic nuclei from structural MRI
Sign Up to like & getrecommendations! Published in 2019 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2019.03.021
Abstract: The thalamus and its nuclei are largely indistinguishable on standard T1 or T2 weighted MRI. While diffusion tensor imaging based methods have been proposed to segment the thalamic nuclei based on the angular orientation of… read more here.
Keywords: thalamic nuclei; atlas segmentation; segmentation; thalamus optimized ... See more keywords
Dual-energy CT for automatic organs-at-risk segmentation in brain-tumor patients using a multi-atlas and deep-learning approach
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DOI: 10.1038/s41598-019-40584-9
Abstract: In radiotherapy, computed tomography (CT) datasets are mostly used for radiation treatment planning to achieve a high-conformal tumor coverage while optimally sparing healthy tissue surrounding the tumor, referred to as organs-at-risk (OARs). Based on CT… read more here.
Keywords: energy; deep learning; atlas deep; multi atlas ... See more keywords
A Multi-Atlas-Based [18F]9-Fluoropropyl-(+)-Dihydrotetrabenazine Positron Emission Tomography Image Segmentation Method for Parkinson’s Disease Quantification
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.902169
Abstract: Objectives [18F]9-fluoropropyl-(+)-dihydrotetrabenazine ([18F]-FP-DTBZ) positron emission tomography (PET) provides reliable information for the diagnosis of Parkinson’s disease (PD). In this study, we proposed a multi-atlas-based [18F]-FP-DTBZ PET image segmentation method for PD quantification assessment. Methods A… read more here.
Keywords: segmentation method; based 18f; multi atlas; atlas based ... See more keywords