Computerized Medical Imaging and Graphics Computerized Medical Imaging and Graphics RSS feedThis is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A computerized framework for monitoring four-dimensional dose distributions during stereotactic body radiation therapy using a portal dose image-based 2D/3D registration approach
The aim of radiation therapy is to reduce the dose as low as possible to surrounding normal tissues, while concentrating the dose administered to target tumors. High-precision radiation therapies, such as stereotactic body radiation therapy (SBRT), have been employed to achieve this purpose. SBRT has several unique features, such as the delivery of large doses for small irradiation fields within several fractions (e.g. 48Gy/4 fractions), and the use of seven to eight beam directions, including coplanar and non-coplanar beam arrangements for localized small tumors in the lung or liver [1]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - December 26, 2014 Category: Radiology Authors: Takahiro Nakamoto, Hidetaka Arimura, Katsumasa Nakamura, Yoshiyuki Shioyama, Asumi Mizoguchi, Taka-aki Hirose, Hiroshi Honda, Yoshiyuki Umedu, Yasuhiko Nakamura, Hideki Hirata Source Type: research

Phantom study of an ultrasound guidance system for transcatheter aortic valve implantation
Transcatheter aortic valve implantation (TAVI) is a safe and effective treatment for aortic stenosis in patients unsuitable for conventional surgery [1]. As a result, this stent-based technique for delivery of a bioprosthetic valve has been used in over 40,000 patients worldwide [2]. This minimally invasive technique relies largely on single-plane fluoroscopy, with only gross structures visible [3]. In addition, the contrast agents injected into the aortic root during fluoroscopic guidance are nephrotoxic and can increase a patient's risk of acute kidney injury [4–7]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - December 15, 2014 Category: Radiology Authors: A. Jonathan McLeod, Maria E. Currie, John T. Moore, Daniel Bainbridge, Bob B. Kiaii, Michael W.A. Chu, Terry M. Peters Source Type: research

Phantom Study of an Ultrasound Guidance System forTranscatheter Aortic Valve Implantation
Transcatheter aortic valve implantation (TAVI) is a safe and effective treatment for aortic stenosis in patients unsuitable for conventional surgery [1]. As a result, this stent-based technique for delivery of a bioprosthetic valve has been used in over 40,000 patients worldwide [2]. This minimally invasive technique relies largely on single-plane fluoroscopy, with only gross structures visible [3]. In addition, the contrast agents injected into the aortic root during fluoroscopic guidance are nephrotoxic and can increase a patient's risk of acute kidney injury[4–7]. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - December 15, 2014 Category: Radiology Authors: A. Jonathan McLeod, Maria E. Currie, John T. Moore, Daniel Bainbridge, Bob B. Kiaii, Michael W.A. Chu, Terry M. Peters Source Type: research

Context-specific selection of algorithms for recursive feature tracking in endoscopic image using a new methodology
In minimally invasive surgery, the tracking of deformable tissue is a critical component for image-guided applications. Deformation of the tissue can be recovered by tracking features using tissue surface information (texture, color,...). Recent work in this field has shown success in acquiring tissue motion. However the performance evaluation of detection and tracking algorithms on such images are still difficult and are not standardized. This is mainly due to the lack of ground truth data on real data. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - December 2, 2014 Category: Radiology Authors: F. Selka, S. Nicolau, V. Agnus, A. Bessaid, J. Marescaux, L. Soler Source Type: research

Bilateral Filter Regularized Accelerated Demons for Improved Discontinuity Preserving Registration
1 In medical image processing, a lot of research has and still is devoted to image registration [1]. The non-rigid image registration methods play an important role in today's modern medical diagnostics and Image-Guided Therapy (IGT) systems. Medical image registration seeks geometrical transformations which map one of the images into the spatial domain of the other image. In general, image registration is not restricted to the same modality but can also handle multi-modal image pairs. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - December 1, 2014 Category: Radiology Authors: D. Demirović, A. Šerifović-Trbalić, N. Prljača, Ph.C. Cattin Source Type: research

A Manifold Learning Method to Detect Respiratory Signal from Liver Ultrasound Images
Respiration motion is a quasi-cyclic physiologic process and may lead to motion and deformation of abdominal organs, e.g. liver [1]. This physiologic process seriously affects the efficacy and efficiency of interventional and radio-therapeutic procedures performed for diagnosing and treating these diseased organs. A variety of respiratory motion modeling methods [2] have been proposed to overcome this problem, which inevitably involves detection of the respiratory signal. Here, respiratory signal can be considered as a generalized pattern of the human respiration and feature the principal component of the 3D respiratory mo...
Source: Computerized Medical Imaging and Graphics - December 1, 2014 Category: Radiology Authors: Jiaze Wu, Apoorva Gogna, Bien Soo Tan, London Lucien Ooi, Qi Tian, Feng Liu, Jimin Liu Source Type: research

The Voxel Visibility Model: an Efficient Framework for Transfer Function Design
Volume visualization is an effective and flexible technique for exploring meaningful structures in 3D scalar fields. It is often used in medical imaging and surgery plan. The key to comprehensible volume visualization still lies in the design of effective transfer functions. A transfer function provides a map for the attributes in volume space to the attributes in visual space. It plays an important role in the understanding of the overall volumetric data and the individual features contained within the volume space. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - December 1, 2014 Category: Radiology Authors: Hongxing Qin, Bin Ye, Rui He Source Type: research

Heterogeneity Assessment Of Histological Tissue Sections In Whole Slide Images
In this study, the objective is to propose a general framework based on the diffusion maps technique for measuring tissue heterogeneity in whole slide images and to apply this methodology on breast cancer histopathology digital images. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - November 20, 2014 Category: Radiology Authors: Belhomme Philippe, Toralba Simon, Plancoulaine Benoît, Oger Myriam, Gurcan Metin N, Bor-Angelier Catherine Source Type: research

Cell words: Modelling the visual appearance of cells in histopathology images
Detection and classification of cells in histological images is a challenging task because of the large intra-class variation in the visual appearance of various types of biological cells. In this paper, we propose a discriminative dictionary learning paradigm, termed as Cell Words, for modelling the visual appearance of cells which includes colour, shape, texture and context in a unified manner. The proposed framework is capable of distinguishing mitotic cells from non-mitotic cells (apoptotic, necrotic, epithelial) in breast histology images with high accuracy. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - November 19, 2014 Category: Radiology Authors: Korsuk Sirinukunwattana, Adnan M. Khan, Nasir M. Rajpoot Source Type: research

: Modelling the Visual Appearance of Cells inHistopathology Images
Detection and classification of cells in histological images is a challenging task because of the large intra-class variation in the visual appearance of various types of biological cells. In this paper, we propose a discriminative dictionary learning paradigm, termed as Cell Words, for modelling the visual appearance of cells which includes colour, shape, texture and context in a unified manner. The proposed framework is capable of distinguishing mitotic cells from non-mitotic cells (apoptotic, necrotic, epithelial) in breast histology images with high accuracy. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - November 19, 2014 Category: Radiology Authors: Adnan M. Khan, Korsuk Sirinukunwattana, Nasir M. Rajpoot Source Type: research

Computer-aided diagnosis from weak supervision: A benchmarking study
Supervised machine learning is a powerful tool frequently used in computer-aided diagnosis (CAD) applications. The bottleneck of this technique is its demand for fine grained expert annotations, which are tedious for medical image analysis applications. Furthermore, information is typically localized in diagnostic images, which makes representation of an entire image by a single feature set problematic. The multiple instance learning framework serves as a remedy to these two problems by allowing labels to be provided for groups of observations, called bags, and assuming the group label to be the maximum of the instance lab...
Source: Computerized Medical Imaging and Graphics - November 19, 2014 Category: Radiology Authors: Melih Kandemir, Fred A. Hamprecht Source Type: research

Frequential versus spatial colour textons for breast TMA classification
This study aims to identify an optimal set of features that best separates different classes in breast TMA. These classes are: stroma, adipose tissue, benign and benign anomalous structures and ductal and lobular carcinomas. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - November 18, 2014 Category: Radiology Authors: M. Milagro Fernández-Carrobles, Gloria Bueno, Oscar Déniz, Jesús Salido, Marcial García-Rojo, Lucía Gonzández-López Source Type: research

Digital pathology with Fourier ptychography
Fourier ptychographic microscopy (FPM) is a recently introduced method of acquiring high-resolution, wide field of view (FOV) giga-pixel histology images. The FPM procedure first acquires a sequence of low-resolution images of a sample under variable-angle illumination. It then combines these images using a novel phase retrieval algorithm to improve the employed microscope's resolution beyond its conventional limit. Here, we first describe how FPM's resolution improvement can enhance wide FOV histology imaging. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - November 18, 2014 Category: Radiology Authors: Roarke Horstmeyer, Xiaoze Ou, Guoan Zheng, Phil Willems, Changhuei Yang Source Type: research

Localisation of Luminal Epithelium Edge in Digital Histopathology Images of IHC Stained Slides of Endometrial Biopsies
Diagnosis of recurrent miscarriage due to abnormally high number of uterine Natural Killer (uNK) cells has recently been made possible by a protocol devised by Quenby et al. [1]. The diagnosis involves detection and counting of stromal and uNK cell nuclei in endometrial biopsy slides immunohistochemically stained with Haematoxylin for staining cell nuclei and CD56 as a marker for the uNK cells. However, manual diagnosis is a laborious process, fraught with subjective errors. In this paper, we present a novel method for detection of uterine Natural Killer (uNK) cells in the human female uterus lining and localisation of the...
Source: Computerized Medical Imaging and Graphics - November 18, 2014 Category: Radiology Authors: Guannan Li, Victor Sanchez, Gnyaneshwari Patel, Siobhan Quenby, Nasir Rajpoot Source Type: research

Frequential versus Spatial Colour Textons for Breast TMAClassification
This study aims to identify an optimal set of features that best separates different classes in breast TMA. These classes are: stroma, adipose tissue, benign and benign anomalous structures and ductal and lobular carcinomas. (Source: Computerized Medical Imaging and Graphics)
Source: Computerized Medical Imaging and Graphics - November 18, 2014 Category: Radiology Authors: M Milagro Fernández-Carrobles, Gloria Bueno, Oscar Déniz, Jesús Salido, Marcial García-Rojo, Lucía Gonzández-López Source Type: research