Force-Map Normalization for ARFI Imaging

Author(s):  
Peter Hollender ◽  
Souhaila Noor ◽  
David Bradway ◽  
Gregg Trahey
Keyword(s):  
2016 ◽  
Vol 42 (7) ◽  
pp. 1464-1472 ◽  
Author(s):  
JianQiao Zhou ◽  
ZhiFang Yang ◽  
WeiWei Zhan ◽  
JingWen Zhang ◽  
Na Hu ◽  
...  

Author(s):  
D. Dumont ◽  
E. Miller ◽  
J.D. Allen ◽  
C. Moyer ◽  
S. Hsu ◽  
...  

2016 ◽  
Vol 58 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Panagiotis Kapetas ◽  
Katja Pinker-Domenig ◽  
Ramona Woitek ◽  
Paola Clauser ◽  
Maria Bernathova ◽  
...  

Background Virtual Touch IQ (VTIQ) is a novel technique of quantitative sonoelastography that applies acoustic radiation force impulse (ARFI). Purpose To evaluate breast ARFI imaging with VTIQ in the clinical setting, with regard to reproducibility and diagnostic performance, and to specify cutoff limits for the differentiation of benign and malignant lesions. Material and Methods This retrospective study included 83 patients with 85 breast lesions (51 benign, 34 malignant) who received ARFI imaging with VTIQ. Two independent ARFI measurements of each lesion were performed and shear wave velocities (SWV) of the lesion and the adjacent tissues were measured. A lesion-to-fat velocity ratio (L/F Ratio) was calculated for each lesion. Diagnostic performance of SWV measurements and L/F Ratios was evaluated with receiver operating curve (ROC) analysis. The intraclass correlation coefficient and Bland–Altman plots were used to evaluate measurement reproducibility. Results All measurements showed equal diagnostic performance, as measured by the area under the ROC curve (0.853 for SWV, 0.882 for the L/F Ratio). At a cutoff value of 3.23 m/s, sensitivity and specificity were 82.4% and 80.4%, respectively. An L/F Ratio cutoff value of 2.23 revealed a sensitivity and specificity of 89.7% and 76.5%. The reproducibility of the SWV measurements was moderate (limits of agreement, 40.3–44.4%) and higher than that of the L/F Ratios (54.5–60.2%). Conclusion ARFI imaging with VTIQ is a novel, moderately reproducible, quantitative elastography technique, which provides useful information for the differentiation of benign and malignant breast lesions in the clinical setting.


Author(s):  
Carl D. Herickhoff ◽  
Arsenii V. Telichko ◽  
Jeremy J. Dahl

2019 ◽  
Vol 38 (11) ◽  
pp. 2861-2870 ◽  
Author(s):  
Shi‐si Ding ◽  
Yan Fang ◽  
Jing Wan ◽  
Chong‐Ke Zhao ◽  
Li‐Hua Xiang ◽  
...  

2005 ◽  
Vol 27 (2) ◽  
pp. 75-88 ◽  
Author(s):  
Mark L. Palmeri ◽  
Kristin D. Frinkley ◽  
Liang Zhai ◽  
Marcia Gottfried ◽  
Rex C. Bentley ◽  
...  

The evaluation of lesions in the gastrointestinal (GI) tract using ultrasound can suffer from poor contrast between healthy and diseased tissue. Acoustic Radiation Force Impulse (ARFI) imaging provides information about the mechanical properties of tissue using brief, high-intensity, focused ultrasound to generate radiation force and ultrasonic correlation-based methods to track the resulting tissue displacement. Using conventional linear arrays, ARFI imaging has shown improved contrast over B-mode images when applied to solid masses in the breast and liver. The purpose of this work is to (1) investigate the potential for ARFI imaging to provide improvements over conventional B-mode imaging of GI lesions and (2) demonstrate that ARFI imaging can be performed with an endocavity probe. ARFI images of an adenocarcinoma of the gastroesophageal (GE) junction, status-post chemotherapy and radiation treatment, demonstrate better contrast between healthy and fibrotic/malignant tissue than standard B-mode images. ARFI images of healthy gastric, esophageal, and colonic tissue specimens differentiate normal anatomic tissue layers (i.e., mucosal, muscularis and adventitial layers), as confirmed by histologic evaluation. ARFI imaging of ex vivo colon and small bowel tumors portray interesting contrast and structure that are not as well defined in B-mode images. An endocavity probe created ARFI images to a depth of over 2 cm in tissue-mimicking phantoms, with maximum displacements of 4 μm. These findings support the clinical feasibility of endocavity ARFI imaging to guide diagnosis and staging of disease processes in the GI tract.


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