Towards subject-level cerebral infarction classification of CT scans using convolutional networks

PloS One
Manuel SchultheissDaniela Pfeiffer

Abstract

Automatic evaluation of 3D volumes is a topic of importance in order to speed up clinical decision making. We describe a method to classify computed tomography scans on volume level for the presence of non-acute cerebral infarction. This is not a trivial task, as the lesions are often similar to other areas in the brain regarding shape and intensity. A three stage architecture is used for classification: 1) A cranial cavity segmentation network is developed, trained and applied. 2) Region proposals are generated 3) Connected regions are classified using a multi-resolution, densely connected 3D convolutional network. Mean area under curve values for subject level classification are 0.95 for the unstratified test set, 0.88 for stratification by patient age and 0.93 for stratification by CT scanner model. We use a partly segmented dataset of 555 scans of which 186 scans are used in the unstratified test set. Furthermore we examine possible dataset bias for scanner model and patient age parameters. We show a successful application of the proposed three-stage model for full volume classification. In contrast to black-box approaches, the convolutional network's decision can be further assessed by examination of intermediate segmentat...Continue Reading

References

Jan 1, 1997·Magnetic Resonance Imaging·J SijbersE Raman
Feb 3, 2009·Stroke; a Journal of Cerebral Circulation·Brad R S BroughtonChristopher G Sobey
Sep 22, 2009·International Journal of Stroke : Official Journal of the International Stroke Society·V PuetzA M Demchuk
Oct 12, 2012·Insights Into Imaging·Josef VymazalLadislava Janouskova
Jun 14, 2016·IEEE Transactions on Pattern Analysis and Machine Intelligence·Shaoqing RenJian Sun
Jun 17, 2016·Medical Image Analysis·Mohammad HavaeiHugo Larochelle
Nov 20, 2016·Medical Image Analysis·Konstantinos KamnitsasBen Glocker
Dec 9, 2016·Insights Into Imaging·Adrian P Brady
Mar 25, 2018·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Holger R RothKensaku Mori
Jul 12, 2018·IEEE Transactions on Pattern Analysis and Machine Intelligence·Kaiming HeRoss Girshick
Jul 28, 2018·AJNR. American Journal of Neuroradiology·P D ChangD Chow
Aug 10, 2018·Neural Networks : the Official Journal of the International Neural Network Society·Mateusz BudaMaciej A Mazurowski
Aug 15, 2018·Nature Medicine·Jeffrey De FauwOlaf Ronneberger
Apr 24, 2019·Nature Biomedical Engineering·Jessica Motherwell, Walter Lee Murfee

❮ Previous
Next ❯

Software Mentioned

ImagePositionPatient
R
Net
Tensorflow
Numpy
CNN
pydicom

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.