Fractals in the neurosciences, part II: clinical applications and future perspectives

A Di Ieva, FJ Esteban, F Grizzi… - The …, 2015 - journals.sagepub.com
It has been ascertained that the human brain is a complex system studied at multiple scales,
from neurons and microcircuits to macronetworks. The brain is characterized by a …

Fractal analysis of the susceptibility weighted imaging patterns in malignant brain tumors during antiangiogenic treatment: technical report on four cases serially …

A Di Ieva, C Matula, F Grizzi, G Grabner, S Trattnig… - World Neurosurgery, 2012 - Elsevier
OBJECTIVE: The need for new and objective indexes for the neuroradiologic follow-up of
brain tumors and for monitoring the effects of antiangiogenic strategies in vivo led us to …

[图书][B] Measuring shape

FB Neal, JC Russ - 2012 - books.google.com
" John Russ is the master of explaining how image processing gets applied to real-world
situations. With Brent Neal, he's done it again in Measuring Shape, this time explaining an …

Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma

TC Booth, TJ Larkin, Y Yuan, MI Kettunen… - PLoS …, 2017 - journals.plos.org
Purpose To develop an image analysis technique that distinguishes pseudoprogression
from true progression by analyzing tumour heterogeneity in T 2-weighted images using …

Angioarchitectural morphometrics of brain tumors: are there any potential histopathological biomarkers?

A Di Ieva - Microvascular Research, 2010 - Elsevier
Normal brain parenchyma has a highly complex microvascular structure that undergoes re-
modelling in the presence of a tumor. A detailed understanding of the clinical and …

Glioma grade classification using wavelet transform-local binary pattern based statistical texture features and geometric measures extracted from MRI

M Gupta, V Rajagopalan, BP Rao - Journal of Experimental & …, 2019 - Taylor & Francis
The objective of this study is to perform brain glioma grade classification by identifying an
optimal quantitative feature set from conventional magnetic resonance images. In this work …

[HTML][HTML] New methodology for evaluating osteoclastic activity induced by orthodontic load

AS Araujo, ABN Fernandes, JVB Maciel… - Journal of Applied Oral …, 2015 - SciELO Brasil
Orthodontic tooth movement (OTM) is a dynamic process of bone modeling involving
osteoclast-driven resorption on the compression side. Consequently, to estimate the …

[HTML][HTML] Applications of fractal analysis techniques in magnetic resonance imaging and computed tomography for stroke diagnosis and stroke-related brain damage: a …

NI Maryenko - Advanced Technology in Neuroscience, 2024 - journals.lww.com
The fractal analysis technique has emerged as a novel and promising method in
mathematical analysis, providing valuable insights across various fields of neuroimaging …

The utility of fractal analysis in clinical neuroscience

AM John, O Elfanagely, CA Ayala, M Cohen… - Reviews in the …, 2015 - degruyter.com
Physicians and scientists can use fractal analysis as a tool to objectively quantify complex
patterns found in neuroscience and neurology. Fractal analysis has the potential to allow …

3-D in vivo brain tumor geometry study by scaling analysis

FT Hoyos, M Martín-Landrove - Physica A: Statistical Mechanics and its …, 2012 - Elsevier
A new method, based on scaling analysis, is used to calculate fractal dimension and local
roughness exponents to characterize in vivo 3-D tumor growth in the brain. Image …