scholarly journals Development of a Patient-specific Tumor Mold Using Magnetic Resonance Imaging and 3-Dimensional Printing Technology for Targeted Tissue Procurement and Radiomics Analysis of Renal Masses

Urology ◽  
2018 ◽  
Vol 112 ◽  
pp. 209-214 ◽  
Author(s):  
Durgesh Kumar Dwivedi ◽  
Yonatan Chatzinoff ◽  
Yue Zhang ◽  
Qing Yuan ◽  
Michael Fulkerson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Patient Specific ◽  
Resonance Imaging ◽  
Renal Masses ◽  
Printing Technology ◽  
3 Dimensional ◽  
Specific Tumor ◽  
Tissue Procurement ◽  
Dimensional Printing

scholarly journals Custom, spray coated receive coils for magnetic resonance imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
A. M. Zamarayeva ◽  
K. Gopalan ◽  
J. R. Corea ◽  
M. Z. Liu ◽  
K. Pang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Silver Nanoparticle ◽  
Material Selection ◽  
Spray Deposition ◽  
Dielectric Materials ◽  
Patient Specific ◽  
High Signal ◽  
Resonance Imaging ◽  
3D Printed

AbstractWe have developed a process for fabricating patient specific Magnetic Resonance Imaging (MRI) Radio-frequency (RF) receive coil arrays using additive manufacturing. Our process involves spray deposition of silver nanoparticle inks and dielectric materials onto 3D printed substrates to form high-quality resonant circuits. In this paper, we describe the material selection and characterization, process optimization, and design and testing of a prototype 4-channel neck array for carotid imaging. We show that sprayed polystyrene can form a low loss dielectric layer in a parallel plate capacitor. We also demonstrate that by using sprayed silver nanoparticle ink as conductive traces, our devices are still dominated by sample noise, rather than material losses. These results are critical for maintaining high Signal-to-Noise-Ratio (SNR) in clinical settings. Finally, our prototype patient specific coil array exhibits higher SNR (5 × in the periphery, 1.4 × in the center) than a commercially available array designed to fit the majority of subjects when tested on our custom neck phantom. 3D printed substrates ensure an optimum fit to complex body parts, improve diagnostic image quality, and enable reproducible placement on subjects.

Magnetic Resonance Imaging–Based Three Dimensional Patient-Specific Reconstruction of Uterine Fibromatosis: Impact on Surgery

2017 ◽  
Vol 33 (4) ◽  
pp. 138-144 ◽  
Author(s):  
Andrea Giannini ◽  
Veronica Iodice ◽  
Eugenia Picano ◽  
Eleonora Russo ◽  
Virna Zampa ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Three Dimensional ◽  
Patient Specific ◽  
Resonance Imaging

scholarly journals Diffusion-weighted magnetic resonance imaging in cystic renal masses

2017 ◽  
Vol 11 (1-2) ◽  
pp. 8 ◽  
Author(s):  
Fikret Balyemez ◽  
Ahmet Aslan ◽  
Ibrahim Inan ◽  
Ercan Ayaz ◽  
Vildan Karagöz ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Renal Cysts ◽  
Diagnostic Value ◽  
Resonance Imaging ◽  
Mri Findings ◽  
Renal Masses ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Magnetic Resonance Imaging Mri

Introduction: We aimed to introduce the diagnostic value of diffusion-weighted (DWI) magnetic resonance imaging (MRI) for distinguishing benign and malignant renal cystic masses.Methods: Abdominal DWI-MRIs of patients with Bosniak categories 2F, 3, and 4 cystic renal masses were evaluated retrospectively. Cystic masses were assigned as benign or malignant according to histopathological or followup MRI findings and compared with apparent diffusion coefficient (ADC) values.Results: There were 30 patients (18 males and 12 females, mean age was 59.23 ± 12.08 years [range 38‒83 years]) with cystic renal masses (eight Bosniak category 2F, 12 Bosniak category 3, 10 Bosniak category 4). Among them, 14 cysts were diagnosed as benign and 16 as malignant by followup imaging or histopathological findings. For the malignant lesions, the mean ADC values were lower than for benign lesions (p=0.001). An ADC value of ≤2.28 x10-6 mm2/s or less had a sensitivity of 75% and a specificity of 92.86% for detecting malignancy.Conclusions: ADC can improve the diagnostic performance of MRI in the evaluation of complex renal cysts when used together with conventional MRI sequences.

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