Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects

S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao… - Information …, 2021 - Elsevier
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

A review on segmentation of positron emission tomography images

B Foster, U Bagci, A Mansoor, Z Xu… - Computers in biology and …, 2014 - Elsevier
Abstract Positron Emission Tomography (PET), a non-invasive functional imaging method at
the molecular level, images the distribution of biologically targeted radiotracers with high …

Image registration methods: a survey

B Zitova, J Flusser - Image and vision computing, 2003 - Elsevier
This paper aims to present a review of recent as well as classic image registration methods.
Image registration is the process of overlaying images (two or more) of the same scene …

A review of atlas-based segmentation for magnetic resonance brain images

M Cabezas, A Oliver, X Lladó, J Freixenet… - Computer methods and …, 2011 - Elsevier
Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …

[PDF][PDF] Image registration techniques: an overview

MV Wyawahare, PM Patil… - International Journal of …, 2009 - academia.edu
Image registration is a vital problem in medical imaging. It has many potential applications in
clinical diagnosis (Diagnosis of cardiac, retinal, pelvic, renal, abdomen, liver, tissue etc …

A survey on level set methods for inverse problems and optimal design

M Burger, SJ Osher - European journal of applied mathematics, 2005 - cambridge.org
The aim of this paper is to provide a survey on the recent development in level set methods
in inverse problems and optimal design. We give introductions on the general features of …

Brain functional localization: a survey of image registration techniques

A Gholipour, N Kehtarnavaz, R Briggs… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
Functional localization is a concept which involves the application of a sequence of
geometrical and statistical image processing operations in order to define the location of …

Incident lacunes preferentially localize to the edge of white matter hyperintensities: insights into the pathophysiology of cerebral small vessel disease

M Duering, E Csanadi, B Gesierich, E Jouvent, D Herve… - Brain, 2013 - academic.oup.com
White matter hyperintensities and lacunes are among the most frequent abnormalities on
brain magnetic resonance imaging. They are commonly related to cerebral small vessel …

Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts

F van der Lijn, T Den Heijer, MMB Breteler, WJ Niessen - NeuroImage, 2008 - Elsevier
Since hippocampal volume has been found to be an early biomarker for Alzheimer's
disease, there is large interest in automated methods to accurately, robustly, and …

Medical image segmentation: a brief survey

A Elnakib, G Gimel'farb, JS Suri, A El-Baz - Multi Modality State-of-the-Art …, 2011 - Springer
Abstract Accurate segmentation of 2-D, 3-D, and 4-D medical images to isolate anatomical
objects of interest for analysis is essential in almost any computer-aided diagnosis system or …