Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity
Background: Deep learning (DL) accelerated controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE), provides high spatial resolution T1-weighted imaging of the upper abdomen. We aimed to investigate whether DL-CAIPIRI...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | European Journal of Radiology Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352047724000777 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850062738512936960 |
|---|---|
| author | Qinxuan Tan Jingyu Miao Leila Nitschke Marcel Dominik Nickel Markus Herbert Lerchbaumer Tobias Penzkofer Sebastian Hofbauer Robert Peters Bernd Hamm Dominik Geisel Moritz Wagner Thula Cannon Walter-Rittel |
| author_facet | Qinxuan Tan Jingyu Miao Leila Nitschke Marcel Dominik Nickel Markus Herbert Lerchbaumer Tobias Penzkofer Sebastian Hofbauer Robert Peters Bernd Hamm Dominik Geisel Moritz Wagner Thula Cannon Walter-Rittel |
| author_sort | Qinxuan Tan |
| collection | DOAJ |
| description | Background: Deep learning (DL) accelerated controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE), provides high spatial resolution T1-weighted imaging of the upper abdomen. We aimed to investigate whether DL-CAIPIRINHA-VIBE can improve image quality, vessel conspicuity, and lesion detectability compared to a standard CAIPIRINHA-VIBE in renal imaging at 3 Tesla. Methods: In this prospective study, 50 patients with 23 solid and 45 cystic renal lesions underwent MRI with clinical MR sequences, including standard CAIPIRINHA-VIBE and DL-CAIPIRINHA-VIBE sequences in the nephrographic phase at 3 Tesla. Two experienced radiologists independently evaluated both sequences and multiplanar reconstructions (MPR) of the sagittal and coronal planes for image quality with a Likert scale ranging from 1 to 5 (5 =best). Quantitative measurements including the size of the largest lesion and renal lesion contrast ratios were evaluated. Results: DL-CAIPIRINHA-VIBE compared to standard CAIPIRINHA-VIBE showed significantly improved overall image quality, higher scores for renal border delineation, renal sinuses, vessels, adrenal glands, reduced motion artifacts and reduced perceived noise in nephrographic phase images (all p < 0.001). DL-CAIPIRINHA-VIBE with MPR showed superior lesion conspicuity and diagnostic confidence compared to standard CAIPIRINHA-VIBE. However, DL-CAIPIRINHA-VIBE presented a more synthetic appearance and more aliasing artifacts (p < 0.023). The mean size and signal intensity of renal lesions for DL-CAIPIRINHA-VIBE showed no significant differences compared to standard CAIPIRINHA-VIBE (p > 0.9). Conclusions: DL-CAIPIRINHA-VIBE is well suited for kidney imaging in the nephrographic phase, provides good image quality, improved delineation of anatomic structures and renal lesions. |
| format | Article |
| id | doaj-art-e6855aa67f0847eb926365b0c411327d |
| institution | DOAJ |
| issn | 2352-0477 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | European Journal of Radiology Open |
| spelling | doaj-art-e6855aa67f0847eb926365b0c411327d2025-08-20T02:49:50ZengElsevierEuropean Journal of Radiology Open2352-04772025-06-011410062210.1016/j.ejro.2024.100622Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuityQinxuan Tan0Jingyu Miao1Leila Nitschke2Marcel Dominik Nickel3Markus Herbert Lerchbaumer4Tobias Penzkofer5Sebastian Hofbauer6Robert Peters7Bernd Hamm8Dominik Geisel9Moritz Wagner10Thula Cannon Walter-Rittel11Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyMR Application Predevelopment, Siemens Healthnineers, Forchheim, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Berlin Institute of Health, Berlin, GermanyDepartment of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Urology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GermanyDepartment of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Correspondence to: Department of Radiology, Charité - Universitätsmedizin Berlin Charité Platz 1, Berlin 10117, Germany.Background: Deep learning (DL) accelerated controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE), provides high spatial resolution T1-weighted imaging of the upper abdomen. We aimed to investigate whether DL-CAIPIRINHA-VIBE can improve image quality, vessel conspicuity, and lesion detectability compared to a standard CAIPIRINHA-VIBE in renal imaging at 3 Tesla. Methods: In this prospective study, 50 patients with 23 solid and 45 cystic renal lesions underwent MRI with clinical MR sequences, including standard CAIPIRINHA-VIBE and DL-CAIPIRINHA-VIBE sequences in the nephrographic phase at 3 Tesla. Two experienced radiologists independently evaluated both sequences and multiplanar reconstructions (MPR) of the sagittal and coronal planes for image quality with a Likert scale ranging from 1 to 5 (5 =best). Quantitative measurements including the size of the largest lesion and renal lesion contrast ratios were evaluated. Results: DL-CAIPIRINHA-VIBE compared to standard CAIPIRINHA-VIBE showed significantly improved overall image quality, higher scores for renal border delineation, renal sinuses, vessels, adrenal glands, reduced motion artifacts and reduced perceived noise in nephrographic phase images (all p < 0.001). DL-CAIPIRINHA-VIBE with MPR showed superior lesion conspicuity and diagnostic confidence compared to standard CAIPIRINHA-VIBE. However, DL-CAIPIRINHA-VIBE presented a more synthetic appearance and more aliasing artifacts (p < 0.023). The mean size and signal intensity of renal lesions for DL-CAIPIRINHA-VIBE showed no significant differences compared to standard CAIPIRINHA-VIBE (p > 0.9). Conclusions: DL-CAIPIRINHA-VIBE is well suited for kidney imaging in the nephrographic phase, provides good image quality, improved delineation of anatomic structures and renal lesions.http://www.sciencedirect.com/science/article/pii/S2352047724000777Deep learningMagnetic resonance imagingRenal lesionsMulti-planar reconstructionsImage quality |
| spellingShingle | Qinxuan Tan Jingyu Miao Leila Nitschke Marcel Dominik Nickel Markus Herbert Lerchbaumer Tobias Penzkofer Sebastian Hofbauer Robert Peters Bernd Hamm Dominik Geisel Moritz Wagner Thula Cannon Walter-Rittel Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity European Journal of Radiology Open Deep learning Magnetic resonance imaging Renal lesions Multi-planar reconstructions Image quality |
| title | Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity |
| title_full | Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity |
| title_fullStr | Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity |
| title_full_unstemmed | Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity |
| title_short | Deep learning enabled near-isotropic CAIPIRINHA VIBE in the nephrogenic phase improves image quality and renal lesion conspicuity |
| title_sort | deep learning enabled near isotropic caipirinha vibe in the nephrogenic phase improves image quality and renal lesion conspicuity |
| topic | Deep learning Magnetic resonance imaging Renal lesions Multi-planar reconstructions Image quality |
| url | http://www.sciencedirect.com/science/article/pii/S2352047724000777 |
| work_keys_str_mv | AT qinxuantan deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT jingyumiao deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT leilanitschke deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT marceldominiknickel deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT markusherbertlerchbaumer deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT tobiaspenzkofer deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT sebastianhofbauer deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT robertpeters deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT berndhamm deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT dominikgeisel deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT moritzwagner deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity AT thulacannonwalterrittel deeplearningenablednearisotropiccaipirinhavibeinthenephrogenicphaseimprovesimagequalityandrenallesionconspicuity |