Unsupervised Medical Image Segmentation Based on the Local Center of Mass

Scientific Reports
Iman AganjBruce Fischl

Abstract

Image segmentation is a critical step in numerous medical imaging studies, which can be facilitated by automatic computational techniques. Supervised methods, although highly effective, require large training datasets of manually labeled images that are labor-intensive to produce. Unsupervised methods, on the contrary, can be used in the absence of training data to segment new images. We introduce a new approach to unsupervised image segmentation that is based on the computation of the local center of mass. We propose an efficient method to group the pixels of a one-dimensional signal, which we then use in an iterative algorithm for two- and three-dimensional image segmentation. We validate our method on a 2D X-ray image, a 3D abdominal magnetic resonance (MR) image and a dataset of 3D cardiovascular MR images.

References

Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·K HarisA K Katsaggelos
Aug 30, 2011·Computer Methods and Programs in Biomedicine·Mariano CabezasMeritxell Bach Cuadra
May 30, 2012·IEEE Transactions on Pattern Analysis and Machine Intelligence·Radhakrishna AchantaSabine Süsstrunk
Feb 5, 2015·Proceedings of the National Academy of Sciences of the United States of America·Jason L GagliaRalph Weissleder
Feb 19, 2016·Medical Image Computing and Computer-assisted Intervention : MICCAI·Danielle F PacePolina Golland
Aug 5, 2017·Medical Image Analysis·Geert LitjensClara I Sánchez

❮ Previous
Next ❯

Citations

Feb 6, 2019·CA: a Cancer Journal for Clinicians·Wenya Linda BiHugo J W L Aerts
Apr 14, 2020·Radiology. Artificial Intelligence·Shaocheng WuYuanfang Guan
Mar 31, 2020·European Journal of Nuclear Medicine and Molecular Imaging·Shuchao PangGuanfeng Liu
May 13, 2021·Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)·Ana Barragán-MonteroJohn A Lee
May 25, 2021·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Sumit Tripathi, Neeraj Sharma
May 25, 2021·Journal of X-ray Science and Technology·Maria Tamoor, Irfan Younas
Jul 27, 2021·Computational Intelligence and Neuroscience·Juan F Ramirez RochacTolessa Deksissa

❮ Previous
Next ❯

Methods Mentioned

BETA
X-ray

Software Mentioned

MATLAB
MATLAB Image Processing [UNK]

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.