Hierarchical active shape models, using the wavelet transform

IEEE Transactions on Medical Imaging
Christos DavatzikosDinggang Shen

Abstract

Active shape models (ASMs) are often limited by the inability of relatively few eigenvectors to capture the full range of biological shape variability. This paper presents a method that overcomes this limitation, by using a hierarchical formulation of active shape models, using the wavelet transform. The statistical properties of the wavelet transform of a deformable contour are analyzed via principal component analysis, and used as priors in the contour's deformation. Some of these priors reflect relatively global shape characteristics of the object boundaries, whereas, some of them capture local and high-frequency shape characteristics and, thus, serve as local smoothness constraints. This formulation achieves two objectives. First, it is robust when only a limited number of training samples is available. Second, by using local statistics as smoothness constraints, it eliminates the need for adopting ad hoc physical models, such as elasticity or other smoothness models, which do not necessarily reflect true biological variability. Examples on magnetic resonance images of the corpus callosum and hand contours demonstrate that good and fully automated segmentations can be achieved, even with as few as five training samples.

References

Jan 11, 2000·IEEE Transactions on Medical Imaging·A KelemenG Gerig
Jun 10, 2000·Cerebral Cortex·S M ResnickA B Zonderman
May 24, 2001·IEEE Transactions on Medical Imaging·D ShenC Davatzikos
Jan 1, 1996·IEEE Transactions on Medical Imaging·L H Staib, J S Duncan

❮ Previous
Next ❯

Citations

Apr 12, 2014·Medical Image Analysis·Yang YuLeon Axel
May 22, 2013·International Journal of Biomedical Imaging·Daniel J TwardLaurent Younes
Apr 22, 2014·International Journal of Computer Assisted Radiology and Surgery·Amir H ForuzanNoriyuki Tomiyama
Aug 24, 2013·Journal of Healthcare Engineering·Xiahai Zhuang
Sep 11, 2012·Medical Image Analysis·Shaoting ZhangDimitris N Metaxas
Jun 11, 2015·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Aleš NeubertStuart Crozier
Jul 22, 2008·Medical Image Analysis·Pierre-Louis Bazin, Dzung L Pham
Mar 4, 2008·Medical Image Analysis·Alexander Andreopoulos, John K Tsotsos
Mar 27, 2007·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Hidefumi Kobatake
Apr 5, 2016·Journal of Biomechanics·Keegan M YatesCostin D Untaroiu
Feb 3, 2015·IEEE Transactions on Medical Imaging·Marco PereañezAlejandro F Frangi
Nov 16, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Giuseppe Papari
Mar 20, 2013·IEEE Transactions on Medical Imaging·Lichao WangGuang-Zhong Yang
Nov 30, 2012·IEEE Transactions on Medical Imaging·Xin ChenLindsay Muir
Dec 21, 2007·IEEE Transactions on Medical Imaging·Karl SjöstrandUNKNOWN LADIS Study Group
Dec 22, 2005·IEEE Transactions on Bio-medical Engineering·Said BenameurJacques A De Guise
Apr 13, 2007·IEEE Transactions on Medical Imaging·Delphine NainAllen Tannenbaum
Apr 13, 2007·IEEE Transactions on Medical Imaging·Peng YuBruce Fischl
Feb 20, 2007·IEEE Transactions on Medical Imaging·Karim LekadirGuang-Zhong Yang
Oct 29, 2008·IEEE Transactions on Medical Imaging·Juha KoikkalainenJyrki Lötjönen
Jun 14, 2012·IEEE Transactions on Medical Imaging·Bulat IbragimovTomaz Vrtovec
Dec 24, 2011·IEEE Transactions on Medical Imaging·Juan J CerrolazaRafael Cabeza
Sep 29, 2004·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Mathews JacobMichael Unser
Jul 27, 2010·IEEE Transactions on Medical Imaging·Karim LekadirGuang-Zhong Yang
Oct 19, 2010·IEEE Transactions on Medical Imaging·Stephen P O'BrienPaul F Whelan
May 16, 2015·Medical Image Analysis·Juan J CerrolazaMarius George Linguraru
Mar 1, 2011·NeuroImage·Brian PatenaudeMark Jenkinson
Dec 6, 2014·Medical Image Analysis·Yen H LeIoannis A Kakadiaris
Oct 4, 2011·Medical Image Analysis·Shaoting ZhangXiang Sean Zhou
Jul 2, 2014·Medical Image Analysis·Marco PereañezAlejandro F Frangi
Feb 1, 2014·Computer Methods and Programs in Biomedicine·M Alper Selver
Jan 13, 2015·Medical Image Analysis·Richard V StebbingJ Alison Noble
Aug 26, 2016·Human Brain Mapping·Laura W de JongLenore J Launer
Aug 20, 2016·IEEE Transactions on Medical Imaging·Tobias Norajitra, Klaus H Maier-Hein
Jun 27, 2017·Medical Image Analysis·Ali A Kiaei, Hassan Khotanlou
Sep 30, 2017·IEEE Transactions on Medical Imaging·Ozan OktayDaniel Rueckert
May 16, 2019·Australasian Physical & Engineering Sciences in Medicine·Samaneh Alimohamadi GilakjanAlireza Ahmadian
Dec 12, 2020·Computer Methods and Programs in Biomedicine·Gregg BelousYongsheng Gao

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.