scholarly journals LEGO-compatible modular mapping phantom for magnetic resonance imaging

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hyo-Min Cho ◽  
Cheolpyo Hong ◽  
Changwoo Lee ◽  
Huanjun Ding ◽  
Taeho Kim ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Image Quality ◽  
Quantitative Imaging ◽  
Rf Coils ◽  
Resonance Imaging ◽  
Modular Architecture ◽  
Imaging Characteristics ◽  
Calibration Phantom ◽  
Wide Range

Abstract Physical phantoms have been widely used for performance evaluation of magnetic resonance imaging (MRI). Although there are many kinds of physical phantoms, most MRI phantoms use fixed configurations with specific sizes that may fit one or a few different types of radio frequency (RF) coils. Therefore, it has limitations for various image quality assessments of scanning areas. In this article, we report a novel design for a truly customizable MRI phantom called the LEGO-compatible Modular Mapping (MOMA) phantom, which not only serves as a general quality assurance phantom for a wide range of RF coils, but also a flexible calibration phantom for quantitative imaging. The MOMA phantom has a modular architecture which includes individual assessment functionality of the modules and LEGO-type assembly compatibility. We demonstrated the feasibility of the MOMA phantom for quantitative evaluation of image quality using customized module assembly compatible with head, breast, spine, knee, and body coil features. This unique approach allows comprehensive image quality evaluation with wide versatility. In addition, we provide detailed MOMA phantom development and imaging characteristics of the modules.

Imaging findings of trichilemmal cyst and proliferating trichilemmal tumour

2021 ◽  
pp. 197140092110177
Author(s):  
Masaya Kawaguchi ◽  
Hiroki Kato ◽  
Natsuko Suzui ◽  
Tatsuhiko Miyazaki ◽  
Hiroyuki Tomita ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Hounsfield Units ◽  
Soft Tissue Density ◽  
Cutaneous Lesions ◽  
Imaging Characteristics ◽  
Trichilemmal Cyst ◽  
T1 Hyperintensity

Purpose The purpose of this study was to evaluate computed tomography and magnetic resonance imaging of benign trichilemmal cysts and proliferating trichilemmal tumours. Methods Nineteen histologically confirmed cutaneous lesions with trichilemmal keratinisation (12 trichilemmal cysts and seven proliferating trichilemmal tumours) were enrolled. Among them, 10 lesions (six trichilemmal cysts and four proliferating trichilemmal tumours) were examined by computed tomography, while 13 lesions (eight trichilemmal cysts and five proliferating trichilemmal tumours) were examined by magnetic resonance imaging. Computed tomography and magnetic resonance imaging characteristics were retrospectively reviewed. RESULTS Sixteen lesions (84%, 10 trichilemmal cysts and six proliferating trichilemmal tumours) occurred on the scalp. Lobulated margins were observed in five lesions (26%, three trichilemmal cysts and two proliferating trichilemmal tumours). With respect to computed tomography attenuation, calcification (>200 Hounsfield units) was observed in seven lesions (70%, five trichilemmal cysts and two proliferating trichilemmal tumours), hyperdense areas (≥80 and ≤200 Hounsfield units) in six (60%, three trichilemmal cysts and three proliferating trichilemmal tumours), and soft tissue density areas (<80 Hounsfield units) in nine (90%, five trichilemmal cysts and four proliferating trichilemmal tumours). On T1-weighted images, intratumoral hyperintensity was only observed in eight trichilemmal cysts but no proliferating trichilemmal tumours (100% vs. 0%, P<0.01). On T2-weighted images, hypointense rim and intratumoral hypointensity was observed in all 13 lesions (100%, eight trichilemmal cysts and five proliferating trichilemmal tumours), and linear or reticular hypointensity was observed in 10 (77%, six trichilemmal cysts and four proliferating trichilemmal tumours). Conclusion Trichilemmal cysts and proliferating trichilemmal tumours predominantly occurred on the scalp with calcification, and usually exhibited linear or reticular T2 hypointensity. Intratumoral T1 hyperintensity may be a useful imaging feature for differentiating trichilemmal cysts from proliferating trichilemmal tumours.

scholarly journals Parallel Imaging Artifacts in Body Magnetic Resonance Imaging

2009 ◽  
Vol 60 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Patricia Noël ◽  
Roland Bammer ◽  
Caroline Reinhold ◽  
Masoom A. Haider
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Parallel Imaging ◽  
Negative Impact ◽  
Significant Advance ◽  
Resonance Imaging ◽  
Imaging Characteristics ◽  
Coil Geometry ◽  
Body Magnetic Resonance Imaging ◽  
Time Required

Objective To familiarize the reader with the fundamental concepts of partial parallel imaging (PPI); to review the technical aspects of PPI including calibration scan, coil geometry, and field of view (FOV); and to illustrate artifacts related to parallel imaging and describe solutions to minimize their negative impact. Results PPI has led to a significant advance in body magnetic resonance imaging by reducing the time required to generate an image without loss of spatial resolution. Although PPI can improve image quality, it is not free of artifacts, which can result in significant image degradation. Knowledge of these artifacts and how to minimize their effect is important to optimize the use of parallel imaging for specific body magnetic resonance imaging applications. Conclusions The reader will be introduced to the fundamental principles of PPI. Common imaging characteristics of PPI artifacts will be displayed with an emphasis on those seen with image-based methods, the principles behind their generation presented, and measures to minimize their negative impact will be proposed.

Granular cell tumor of the extremity: magnetic resonance imaging characteristics with pathologic correlation

2005 ◽  
Vol 34 (10) ◽  
pp. 625-631 ◽  
Author(s):  
Marcia F. Blacksin ◽  
Lawrence M. White ◽  
Meera Hameed ◽  
Rita Kandel ◽  
Francis R. Patterson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Granular Cell Tumor ◽  
Granular Cell ◽  
Cell Tumor ◽  
Resonance Imaging ◽  
Pathologic Correlation ◽  
Imaging Characteristics

scholarly journals Magnetic resonance imaging characteristics of children and adults with paediatric-onset multiple sclerosis

Brain ◽  
2009 ◽  
Vol 132 (12) ◽  
pp. 3392-3400 ◽  
Author(s):  
E. A. Yeh ◽  
B. Weinstock-Guttman ◽  
M. Ramanathan ◽  
D. P. Ramasamy ◽  
L. Willis ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Imaging Characteristics

scholarly journals Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times

2021 ◽  
Author(s):  
Yusi Chen ◽  
Qasim Bukhari ◽  
Tiger Wutu Lin ◽  
Terrence J Sejnowski
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Connectivity ◽  
Resting State ◽  
Structural Connectivity ◽  
Reaction Times ◽  
Resonance Imaging ◽  
Brain Areas ◽  
Human Connectome Project ◽  
Wide Range

Recordings from resting state functional magnetic resonance imaging (rs-fMRI) reflect the influence of pathways between brain areas. A wide range of methods have been proposed to measure this functional connectivity (FC), but the lack of ''ground truth'' has made it difficult to systematically validate them. Most measures of FC produce connectivity estimates that are symmetrical between brain areas. Differential covariance (dCov) is an algorithm for analyzing FC with directed graph edges. Applied to synthetic datasets, dCov-FC was more effective than covariance and partial correlation in reducing false positive connections and more accurately matching the underlying structural connectivity. When we applied dCov-FC to resting state fMRI recordings from the human connectome project (HCP) and anesthetized mice, dCov-FC accurately identified strong cortical connections from diffusion Magnetic Resonance Imaging (dMRI) in individual humans and viral tract tracing in mice. In addition, those HCP subjects whose rs-fMRI were more integrated, as assessed by a graph-theoretic measure, tended to have shorter reaction times in several behavioral tests. Thus, dCov-FC was able to identify anatomically verified connectivity that yielded measures of brain integration causally related to behavior.

scholarly journals Artifacts in magnetic resonance imaging: how it can really affect diagnostic image quality and confuse clinical diagnosis?

2018 ◽  
Vol 20 (2) ◽  
pp. 1202-1213 ◽  
Author(s):  
Tomas Budrys ◽  
Vincentas Veikutis ◽  
Saulius Lukosevicius ◽  
Rymante Gleizniene ◽  
Egle Monastyreckiene ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Image Quality ◽  
Clinical Diagnosis ◽  
Diagnostic Image Quality ◽  
Resonance Imaging ◽  
Diagnostic Image
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