Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice. Issue 134 (January 2021)
- Record Type:
- Journal Article
- Title:
- Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice. Issue 134 (January 2021)
- Main Title:
- Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice
- Authors:
- Ueda, Takahiro
Ohno, Yoshiharu
Yamamoto, Kaori
Iwase, Akiyoshi
Fukuba, Takashi
Hanamatsu, Satomu
Obama, Yuki
Ikeda, Hirotaka
Ikedo, Masato
Yui, Masao
Murayama, Kazuhiro
Toyama, Hiroshi - Abstract:
- Highlights: Compressed SPEEDER can shorten examination time compared with conventional SPEEDER. AiCE (denoising using Deep learning) can improve image quality of MRI. Compressed SPEEDER and AiCE are more useful than SPEEDER for women's pelvic MRI. Abstract: Purpose: To demonstrate the utility of compressed sensing with parallel imaging (Compressed SPEEDER) and AiCE compared with that of conventional parallel imaging (SPEEDER) for shortening examination time and improving image quality of women's pelvic MRI. Method: Thirty consecutive patients with women's pelvic diseases (mean age 50 years) underwent T2-weighted imaging using Compressed SPEEDER as well as conventional SPEEDER reconstructed with and without AiCE . The examination times were recorded, and signal-to-noise ratio (SNR) was calculated for every patient. Moreover, overall image quality was assessed using a 5-point scoring system, and final scores for all patients were determined by consensus of two readers. Mean examination time, SNR and overall image quality were compared among the four data sets by Wilcoxon signed–rank test. Results: Examination times for Compressed SPEEDER with and without AiCE were significantly shorter than those for conventional SPEEDER with and without AiCE (with AiCE : p < 0.0001, without AiCE : p < 0.0001). SNR of Compressed SPEEDER and of SPEEDER with AiCE was significantly superior to that of Compressed SPEEDER without AiCE (vs. Compressed SPEEDER, p = 0.01; vs. SPEEDER, p = 0.009).Highlights: Compressed SPEEDER can shorten examination time compared with conventional SPEEDER. AiCE (denoising using Deep learning) can improve image quality of MRI. Compressed SPEEDER and AiCE are more useful than SPEEDER for women's pelvic MRI. Abstract: Purpose: To demonstrate the utility of compressed sensing with parallel imaging (Compressed SPEEDER) and AiCE compared with that of conventional parallel imaging (SPEEDER) for shortening examination time and improving image quality of women's pelvic MRI. Method: Thirty consecutive patients with women's pelvic diseases (mean age 50 years) underwent T2-weighted imaging using Compressed SPEEDER as well as conventional SPEEDER reconstructed with and without AiCE . The examination times were recorded, and signal-to-noise ratio (SNR) was calculated for every patient. Moreover, overall image quality was assessed using a 5-point scoring system, and final scores for all patients were determined by consensus of two readers. Mean examination time, SNR and overall image quality were compared among the four data sets by Wilcoxon signed–rank test. Results: Examination times for Compressed SPEEDER with and without AiCE were significantly shorter than those for conventional SPEEDER with and without AiCE (with AiCE : p < 0.0001, without AiCE : p < 0.0001). SNR of Compressed SPEEDER and of SPEEDER with AiCE was significantly superior to that of Compressed SPEEDER without AiCE (vs. Compressed SPEEDER, p = 0.01; vs. SPEEDER, p = 0.009). Overall image quality of Compressed SPEEDER with AiCE and of SPEEDER with and without AiCE was significantly higher than that of Compressed SPEEDER without AiCE (vs. Compressed SPEEDER with AiCE, p < 0.0001; vs. SPEEDER with AiCE, p < 0.0001; SPEEDER without AiCE, p = 0.0003). Conclusion: Image quality and shorten examination time for T2-weighted imaging in women's pelvic MRI can be significantly improved by using Compressed SPEEDER with AiCE in comparison with conventional SPEEDER, although other sequences were not tested. … (more)
- Is Part Of:
- European journal of radiology. Issue 134(2021)
- Journal:
- European journal of radiology
- Issue:
- Issue 134(2021)
- Issue Display:
- Volume 134, Issue 134 (2021)
- Year:
- 2021
- Volume:
- 134
- Issue:
- 134
- Issue Sort Value:
- 2021-0134-0134-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Compressed sensing -- Deep learning -- Parallel imaging -- MRI -- Women's imaging
Medical radiology -- Periodicals
Radiology -- Periodicals
Radiologie médicale -- Périodiques
Medical radiology
Periodicals
616.075705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0720048X ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0720048X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0720048X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ejrad.2020.109430 ↗
- Languages:
- English
- ISSNs:
- 0720-048X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3829.738050
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