Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation
During brain tumor surgery, accurate localization of the brain tumor is essential to both ensure its total resection and reduce the morbidity of surrounding healthy tissues. Images of the patient ’s brain are thus acquired prior to surgery and used by neuronavigation systems to assist the surgeon. However, due to the intraoperative deformation of soft tissues, called ”brain-shift”, these images no longer correspond to brain morphology of the patient throughout the entire procedure. (Source: Medical Image Analysis)
Source: Medical Image Analysis - June 14, 2017 Category: Radiology Authors: Fanny Morin, Hadrien Courtecuisse, Ingerid Reinertsen, Florian Le Lann, Olivier Palombi, Yohan Payan, Matthieu Chabanas Source Type: research
A Multimodal Spatiotemporal Cardiac Motion Atlas from MR and Ultrasound Data
Better understanding the motion of the heart through the cardiac cycle is crucial in aiding diagnosis in a wide range of cardiovascular pathologies as well as for the optimisation of related clinical procedures. In recent years, statistical cardiac atlases have been proposed as a way of analysing cardiac motion in the context of population variation. However, to date, all such techniques have been based on motion information estimated from a single imaging modality. Several factors suggest that information from multiple modalities may be complementary and offer advantages. (Source: Medical Image Analysis)
Source: Medical Image Analysis - June 13, 2017 Category: Radiology Authors: Esther Puyol-Ant ón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Paolo Piro, Andrew P. King Source Type: research
Segmentation of Medical Images using Mean Value Guided Contour
Partial differential equation-based (PDE-based) methods are one of the important approaches to segment an image (Caselles et al. 1997). A well-liked manner in this class of methods is curve propagation. The significant knowledge is to develop an initial curve and steer it in the direction of the lowermost energy function. With this end in view, one technique, known as active contour method (Kass et al. 1988), is parameterizing the contour due to one sampling method and then developing each component. (Source: Medical Image Analysis)
Source: Medical Image Analysis - June 13, 2017 Category: Radiology Authors: Ali A. Kiaei, Hassan Khotanlou Source Type: research
Automatic segmentation of the lumen region in intravascular images of the coronary artery
According to the World Health Organization (WHO), coronary artery diseases were responsible for the death of 7.3 million people around the world in 2008 (Mendis et al., 2011). Atherosclerosis is an underlying disease responsible for the occurrence of heart attacks and strokes. Atherosclerotic plaques are formed when fatty material and cholesterol are deposited inside the lumen of the artery, reducing the blood flow through the vessel and increasing the risk of blood clots that can cause heart attacks and strokes. (Source: Medical Image Analysis)
Source: Medical Image Analysis - June 10, 2017 Category: Radiology Authors: Danilo Samuel Jodas, Aledir Silveira Pereira, Jo ão Manuel R.S. Tavares Source Type: research
Statistical Characterization of Noise for Spatial Standardization of CT Scans: Enabling Comparison with Multiple Kernels and Doses
Quantitative imaging (QI) is the process of reducing functional, biological and morphological processes to a measurable quantity by means of medical imaging. The uses of QI are even greater in the light of a new healthcare delivery system that becomes more personalized and tries to tailor therapies to the underlying pathophysiology. (Source: Medical Image Analysis)
Source: Medical Image Analysis - June 7, 2017 Category: Radiology Authors: Gonzalo Vegas-S ánchez-Ferrero, Maria J. Ledesma-Carbayo, George R. Washko, Raúl San José Estépar Source Type: research
Stereo Vision-Based Tracking of Soft Tissue Motion with Application to Online Ablation Control in Laser Microsurgery
Surgery on delicate anatomical structures often demands high-resolution imaging and microinstruments for precise soft tissue manipulation. More advanced tools, such as medical lasers, facilitate contactless treatment of the pathology and minimize tissue trauma. A state-of-the-art clinical application is transoral laser microsurgery (TLM) for resection of benign or cancerous tissue on vocal cords (Rubinstein and Armstrong, 2011). Regarding the surgical treatment, a direct line-of-sight is established by inserting a laryngoscope in the throat of the patient. (Source: Medical Image Analysis)
Source: Medical Image Analysis - June 7, 2017 Category: Radiology Authors: Andreas Schoob, Dennis Kundrat, L üder A. Kahrs, Tobias Ortmaier Source Type: research
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(Source: Medical Image Analysis)
Source: Medical Image Analysis - June 2, 2017 Category: Radiology Source Type: research
Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models
Rheumatoid arthritis (RA) is an inflammatory disease of autoimmune origin. It is most common in the elderly population, but it can affect people of all ages. It is a chronic disease, and being one of the most common causes of disability, it constitutes a public health problem. (Source: Medical Image Analysis)
Source: Medical Image Analysis - May 23, 2017 Category: Radiology Authors: James M. Brown, Ewan Ross, Guillaume Desanti, Atif Saghir, Andy Clark, Chris Buckley, Andrew Filer, Amy Naylor, Ela Claridge Source Type: research
Segmentation of Lumen and Outer wall of Abdominal Aortic Aneurysms from 3D Black-Blood MRI with a Registration Based Geodesic Active Contour Model
Abdominal Aortic Aneurysm (AAA) is the direct cause of more than 15,000 deaths each year in the United States and is the cause of 1.3% of all deaths among men aged 65-85 years in developed countries (Sakalihasan et al., 2005; Upchurch and Schaub, 2006). Most AAAs are not detected because AAA disease is usually asymptomatic; patients generally exhibit no major symptoms until the aneurysm ruptures (Cornuz et al., 2004). As the abdominal aorta is the largest blood vessel in the body, rupture can lead to massiv e internal bleeding and mortality rates approach 90% if rupture occurs outside of the hospital setting (Mozaffaria...
Source: Medical Image Analysis - May 19, 2017 Category: Radiology Authors: Yan Wang, Florent Seguro, Evan Kao, Yue Zhang, Farshid Faraji, Chengcheng Zhu, Henrik Haraldsson, Michael Hope, David Saloner, Jing Liu Source Type: research
Multi-Modal Classification of Neurodegenerative Disease by Progressive Graph-Based Transductive Learning
In the elderly population, neurodegenerative diseases, such as Alzheimer's diseases (AD) and Parkinson's disease (PD), are the most common types of neurological disorders. Because of the progressive nature of these disorders, memory and other mental functions gradually worsen over time, which eventually affects the patients ’ quality of life (Group, 2004; Reisberg et al., 2008; Thompson et al., 2007). Unfortunately, there is no cure for these neurodegenerative diseases, although treatments include medications and management strategies may improve the quality of life. (Source: Medical Image Analysis)
Source: Medical Image Analysis - May 13, 2017 Category: Radiology Authors: Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent Munsell, Dinggang Shen, Guorong Wu, for the ADNI and PPMI Source Type: research
Dual-core Steered Non-rigid Registration for Multi-modal Images via Bi-directional Image Synthesis
Prostate cancer (Partin, Yoo et al. 1993, Shen, Lao et al. 2004) is a common type of cancer among men worldwide. Clinically, external beam radiation therapy (EBRT) is one of the most efficient ways for treating prostate cancer. In EBRT (de Crevoisier, Tucker et al. 2005), Computed Tomography (CT) is of great importance as it provides Hounsfield unit (HU) values, which can be used for dose planning purpose. In the planning stage of EBRT, in order to deliver prescribed dose to the prostate volume, while spare nearby normal organs from the harmful radiation, three critical pelvic organs, i.e., prostate, bladder and rectum, ne...
Source: Medical Image Analysis - May 13, 2017 Category: Radiology Authors: Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen Source Type: research
A Structured Latent Model for Ovarian Carcinoma Subtyping from Histopathology Slides
According to the World Health Organization, ovarian cancer is the fifth most common cancer type worldwide and its outcomes are the poorest among women (Prat, 2012). Clinical differences between histologic subtypes of ovarian cancer have long been recognized, but it is only recently that pathologists have been able to define carcinomas in a way that correlates well with clinical and molecular differences (Prat, 2012; Racoceanu and Capron, 2016). Currently, five main histologic types of ovarian carcinomas (cancers derived from epithelial cells) have been identified (figure 1): high-grade serous (HGSC), endometrioid (EN), ...
Source: Medical Image Analysis - May 9, 2017 Category: Radiology Authors: A ïcha BenTaieb, Hector Li-Chang, David Huntsman, Ghassan Hamarneh Source Type: research
3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images
Delineating important organs or structures from volumetric medical images, such as 3D computed tomography (CT) and magnetic resonance (MR) images, is of great significance for clinical practice especially with the proliferation of 3D images in diagnosis and treatment of many diseases. Accurate segmentation not only facilitates the subsequent quantitative assessment of the regions of interest but also benefits precise diagnosis, prediction of prognosis, and surgical planning and intra-operative guidance. (Source: Medical Image Analysis)
Source: Medical Image Analysis - May 8, 2017 Category: Radiology Authors: Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng Source Type: research
A Machine-Learning Graph-Based Approach for 3D Segmentation of Bruch ’s Membrane Opening from Glaucomatous SD-OCT Volumes
Glaucoma is one of the major causes of blindness and it is estimated that the number of people with glaucoma will increase to 79.6 million in 2020 Quigley and Broman (2006). There are different procedures to assess the functional and structural deficits caused by glaucoma. Visual field tests are the clinical standard for monitoring functional change. Color (stereo) fundus photography and, more recently, spectral-domain optical coherence tomography (SD-OCT) are two structural imaging modalities for monitoring the structural changes due to this progressive disease Abr àmoff et al. (Source: Medical Image Analysis)
Source: Medical Image Analysis - May 6, 2017 Category: Radiology Authors: Mohammad Saleh Miri, Michael D. Abr àmoff, Young H. Kwon, Milan Sonka, Mona K. Garvin Source Type: research
The AGES-Reykjavik study atlases: Non-Linear multi-Spectral template and atlases for studies of the ageing brain
Over the last two decades, a number of methods have been introduced to map the human brain. Many of these use atlas based techniques to analyse the brain functionally and structurally (Seitz et al., 1990; Roland et al., 1994; Mazziotta et al., 2001; Toga and Thompson, 2001; Thompson et al., 2001). (Source: Medical Image Analysis)
Source: Medical Image Analysis - May 6, 2017 Category: Radiology Authors: Lars Forsberg, Sigurdur Sigurdsson, Jesper Fredriksson, Asdis Egilsdottir, Bryndis Oskarsdottir, Olafur Kjartansson, Mark A. van Buchem, Lenore J. Launer, Vilmundur Gudnason, Alex Zijdenbos Source Type: research
