BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses
| Autor: | Pablo González, Luis Luna, Valery Naranjo, Sandra Morales, Angela Bernabeu-Sanz, Fernando López-Mir |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
Pathology EXPRESION GRAFICA EN LA INGENIERIA Caudate nucleus Health Informatics CAD Volumetric analysis 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Magnetic resonance imaging TEORIA DE LA SEÑAL Y COMUNICACIONES Image Processing Computer-Assisted Medicine Brain segmentation Humans Diagnosis Computer-Assisted medicine.diagnostic_test business.industry Brain lesions Multiple sclerosis Putamen Brain Neurodegenerative Diseases Organ Size medicine.disease Computer Science Applications Computer-aided diagnosis Brain size Radiology business 030217 neurology & neurosurgery Software |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 1872-7565 |
| Popis: | [EN] Background and objective: This paper presents BRAIM, a computer-aided diagnosis (CAD) system to help clinicians in diagnosing and treatment monitoring of brain diseases from magnetic resonance image processing. BRAIM can be used for early diagnosis of neurodegenerative diseases such as Parkinson, Alzheimer or Multiple Sclerosis and also for brain lesion diagnosis and monitoring. Methods: The developed CAD system includes different user-friendly tools for segmenting and determining whole brain and brain structure volumes in an easy and accurate way. Specifically, three types of measurements can be performed: (1) total volume of white, gray matter and cerebrospinal fluid; (2) brain structure volumes (volume of putamen, thalamus, hippocampus and caudate nucleus); and (3) brain lesion volumes. Results: As a proof of concept, some study cases were analyzed with the presented system achieving promising results. In addition to be used to quantify treatment effectiveness in patients with brain lesions, it was demonstrated that BRAIM is able to classify a subject according to the brain volume measurements using as reference a healthy control database created for this purpose. Conclusions: The CAD system presented in this paper simplifies the daily work of clinicians and provides them with objective and quantitative volume data for prospective and retrospective analyses. (C) 2017 Elsevier B.V. All rights reserved. This work has been supported by the Centro para el Desarrollo Tecnologico Industrial (CDTI) under the project BRAIM (IDI-20130020) |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect