Hersh Chandarana
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Explore the profile of Hersh Chandarana including associated specialties, affiliations and a list of published articles.
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172
Citations
3974
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Recent Articles
1.
Shanbhogue K, Chandarana H
Radiol Clin North Am
. 2024 Oct;
62(6):1013-1023.
PMID: 39393847
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide. Early detection of HCC is a key factor in enabling curative therapies and improving overall survival. Worldwide, several guidelines...
2.
Azour L, Segal L, Condos R, Moore W, Landini N, Collazo D, et al.
Clin Imaging
. 2024 Oct;
115:110307.
PMID: 39383681
Objectives: To evaluate the clinical significance of low-field MRI lung opacity severity. Methods: Retrospective cross-sectional analysis of post-acute Covid-19 patients imaged with low-field MRI from 9/2020 through 9/2022, and within...
3.
Chen J, Huang C, Shanbhogue K, Xia D, Bruno M, Huang Y, et al.
NMR Biomed
. 2024 Sep;
37(12):e5262.
PMID: 39323100
Respiratory motion-induced image blurring and artifacts can compromise image quality in dynamic contrast-enhanced MRI (DCE-MRI) of the liver. Despite remarkable advances in respiratory motion detection and compensation in past years,...
4.
Dane B, Bagga B, Bansal B, Beier S, Kim S, Reddy A, et al.
Acad Radiol
. 2024 Aug;
32(1):210-217.
PMID: 39198137
Rationale And Objective: A single-shot T2-weighted deep-learning-based image reconstruction (DL-HASTE) has been recently developed allowing for shorter acquisition time than conventional half-Fourier acquisition single-shot turbo-spin echo (HASTE). The purpose of...
5.
Chen J, Xia D, Huang C, Shanbhogue K, Chandarana H, Feng L
NMR Biomed
. 2024 Aug;
37(12):e5247.
PMID: 39183645
This work proposes MP-Grasp4D (magnetization-prepared golden-angle radial sparse parallel 4D) MRI, a free-breathing, inversion recovery (IR)-prepared, time-resolved 4D MRI technique with improved T1-weighted contrast. MP-Grasp4D MRI acquisition incorporates IR preparation...
6.
7.
Zi R, Benkert T, Chandarana H, Lattanzi R, Block K
Magn Reson Med
. 2024 Jun;
92(5):1995-2006.
PMID: 38888139
Purpose: To introduce an alternative idea for fat suppression that is suited both for low-field applications where conventional fat-suppression approaches become ineffective due to narrow spectral separation and for applications...
8.
Ginocchio L, Jaglan S, Tong A, Smereka P, Benkert T, Chandarana H, et al.
J Comput Assist Tomogr
. 2024 May;
48(6):853-858.
PMID: 38722777
Objective: To perform image quality comparison between deep learning-based multiband diffusion-weighted sequence (DL-mb-DWI), accelerated multiband diffusion-weighted sequence (accelerated mb-DWI), and conventional multiband diffusion-weighted sequence (conventional mb-DWI) in patients undergoing clinical...
9.
Gilani N, Mikheev A, Brinkmann I, Kumbella M, Babb J, Basukala D, et al.
MAGMA
. 2024 May;
37(4):671-680.
PMID: 38703246
Objective: Diffusion-weighted MRI is a technique that can infer microstructural and microcirculatory features from biological tissue, with particular application to renal tissue. There is extensive literature on diffusion tensor imaging...
10.
Tibrewala R, Dutt T, Tong A, Ginocchio L, Lattanzi R, Keerthivasan M, et al.
Sci Data
. 2024 Apr;
11(1):404.
PMID: 38643291
Magnetic resonance imaging (MRI) has experienced remarkable advancements in the integration of artificial intelligence (AI) for image acquisition and reconstruction. The availability of raw k-space data is crucial for training...