Pub Date : 2021-06-01DOI: 10.13104/imri.2021.25.2.109
E. Hwang, C. D. Antony, Jung-Ah Choi, Minsu Kim, Eun Kyoung Khil, I. Choi
{"title":"Evaluating Paraspinal Back Muscles Using Computed Tomography (CT) and Magnetic Resonance Imaging (MRI): Reliability Analysis and Correlation with Intervertebral Disc Pathology","authors":"E. Hwang, C. D. Antony, Jung-Ah Choi, Minsu Kim, Eun Kyoung Khil, I. Choi","doi":"10.13104/imri.2021.25.2.109","DOIUrl":"https://doi.org/10.13104/imri.2021.25.2.109","url":null,"abstract":"","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43568060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.13104/IMRI.2021.25.1.43
Donghyeon Kim, D. Yoo
Arachnoid cysts are benign lesions that are formed between the inner and outer layers of the arachnoid, accounting for 1% of all intracranial space occupying lesions. Usually, arachnoid cysts are asymptomatic. It can be symptomatic in case of complication such as intracystic hemorrhage or acute cyst expansion. We present a case of incidentally prediagnosed arachnoid cyst which undergone intracystic hemorrhage combined with ipsilateral SDH in a young male.
{"title":"Intracystic Hemorrhage of an Arachnoid Cyst: a Case with Prediagnostic Imaging of an Intact Cyst","authors":"Donghyeon Kim, D. Yoo","doi":"10.13104/IMRI.2021.25.1.43","DOIUrl":"https://doi.org/10.13104/IMRI.2021.25.1.43","url":null,"abstract":"Arachnoid cysts are benign lesions that are formed between the inner and outer layers of the arachnoid, accounting for 1% of all intracranial space occupying lesions. Usually, arachnoid cysts are asymptomatic. It can be symptomatic in case of complication such as intracystic hemorrhage or acute cyst expansion. We present a case of incidentally prediagnosed arachnoid cyst which undergone intracystic hemorrhage combined with ipsilateral SDH in a young male.","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45031953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.13104/IMRI.2021.25.1.47
Joonwon Park, Seonwoo Min, S. Min, Jung-Ah Choi
Paraganglioma is a rare tumor of paraganglia, derived from neural crest cells in sympathetic or parasympathetic ganglions. It can be widely distributed from the skull base to the bottom of the pelvis. The pancreas, however, is a rare location of this neoplasm, and only a limited number of cases have been reported in the English literature, especially with gadoxetic-acid-enhanced magnetic resonance imaging (MRI) and diffusion-weighted images (DWI). We herein report a case of pathologically proven paraganglioma in the pancreas head with a literature review on endoscopic ultrasonography (EUS), computed tomography (CT), gadoxetic-acid-enhanced MRI, and DWI sequence.
{"title":"Pancreatic Paraganglioma: a Case Report and Literature Review","authors":"Joonwon Park, Seonwoo Min, S. Min, Jung-Ah Choi","doi":"10.13104/IMRI.2021.25.1.47","DOIUrl":"https://doi.org/10.13104/IMRI.2021.25.1.47","url":null,"abstract":"Paraganglioma is a rare tumor of paraganglia, derived from neural crest cells in sympathetic or parasympathetic ganglions. It can be widely distributed from the skull base to the bottom of the pelvis. The pancreas, however, is a rare location of this neoplasm, and only a limited number of cases have been reported in the English literature, especially with gadoxetic-acid-enhanced magnetic resonance imaging (MRI) and diffusion-weighted images (DWI). We herein report a case of pathologically proven paraganglioma in the pancreas head with a literature review on endoscopic ultrasonography (EUS), computed tomography (CT), gadoxetic-acid-enhanced MRI, and DWI sequence.","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48772821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.13104/IMRI.2021.25.1.23
Bo-Young Jung, Eun Ja Lee, J. Bae, Young Jae Choi, Eun Kyoung Lee, Dae Bong Kim
Purpose: Differentiating between glioblastoma and solitary metastasis is very important for the planning of further workup and treatment. We assessed the ability of various morphological parameters using conventional MRI and diffusion-based techniques to distinguish between glioblastomas and solitary metastases in tumoral and peritumoral regions. Materials and Methods: We included 38 patients with solitary brain tumors (21 glioblastomas, 17 solitary metastases). To find out if there were differences in the morphologic parameters of enhancing tumors, we analyzed their shape, margins, and enhancement patterns on postcontrast T1-weighted images. During analyses of peritumoral regions, we assessed the extent of peritumoral non-enhancing lesion on T2- and postcontrast T1-weighted images. We also aimed to detect peritumoral neoplastic cell infiltration by visual assessment of T2-weighted and diffusion-based images, including DWI, ADC maps, and exponential DWI, and evaluated which sequence depicted peritumoral neoplastic cell infiltration most clearly. Results: The shapes, margins, and enhancement patterns of tumors all significantly differentiated glioblastomas from metastases. Glioblastomas had an irregular shape, ill-defined margins, and a heterogeneous enhancement pattern; on the other hand, metastases had an ovoid or round shape, well-defined margins, and homogeneous enhancement. Metastases had significantly more extensive peritumoral T2 high signal intensity than glioblastomas had. In visual assessment of peritumoral neoplastic cell infiltration using T2-weighted and diffusion-based images, all sequences differed significantly between the two groups. Exponential DWI had the highest sensitivity for the diagnosis of both glioblastoma (100%) and metastasis (70.6%). A combination of exponential DWI and ADC maps was optimal for the depiction of peritumoral neoplastic cell infiltration in glioblastoma. Conclusion: In the differentiation of glioblastoma from solitary metastatic lesions, visual morphologic assessment of tumoral and peritumoral regions using conventional MRI and diffusion-based techniques can also offer diagnostic information. when assessing peritumoral neoplastic cell infiltration in peritumoral non-enhancing lesions; lower imaging resolution by the relatively low signal-to-noise ratio of 1.5T MRI; the aforementioned T2-shine-through effect in DWI; reactive gliosis and infiltration into the surrounding tissue in the later-staged metastatic lesions.
{"title":"Differentiation between Glioblastoma and Solitary Metastasis: Morphologic Assessment by Conventional Brain MR Imaging and Diffusion-Weighted Imaging","authors":"Bo-Young Jung, Eun Ja Lee, J. Bae, Young Jae Choi, Eun Kyoung Lee, Dae Bong Kim","doi":"10.13104/IMRI.2021.25.1.23","DOIUrl":"https://doi.org/10.13104/IMRI.2021.25.1.23","url":null,"abstract":"Purpose: Differentiating between glioblastoma and solitary metastasis is very important for the planning of further workup and treatment. We assessed the ability of various morphological parameters using conventional MRI and diffusion-based techniques to distinguish between glioblastomas and solitary metastases in tumoral and peritumoral regions. Materials and Methods: We included 38 patients with solitary brain tumors (21 glioblastomas, 17 solitary metastases). To find out if there were differences in the morphologic parameters of enhancing tumors, we analyzed their shape, margins, and enhancement patterns on postcontrast T1-weighted images. During analyses of peritumoral regions, we assessed the extent of peritumoral non-enhancing lesion on T2- and postcontrast T1-weighted images. We also aimed to detect peritumoral neoplastic cell infiltration by visual assessment of T2-weighted and diffusion-based images, including DWI, ADC maps, and exponential DWI, and evaluated which sequence depicted peritumoral neoplastic cell infiltration most clearly. Results: The shapes, margins, and enhancement patterns of tumors all significantly differentiated glioblastomas from metastases. Glioblastomas had an irregular shape, ill-defined margins, and a heterogeneous enhancement pattern; on the other hand, metastases had an ovoid or round shape, well-defined margins, and homogeneous enhancement. Metastases had significantly more extensive peritumoral T2 high signal intensity than glioblastomas had. In visual assessment of peritumoral neoplastic cell infiltration using T2-weighted and diffusion-based images, all sequences differed significantly between the two groups. Exponential DWI had the highest sensitivity for the diagnosis of both glioblastoma (100%) and metastasis (70.6%). A combination of exponential DWI and ADC maps was optimal for the depiction of peritumoral neoplastic cell infiltration in glioblastoma. Conclusion: In the differentiation of glioblastoma from solitary metastatic lesions, visual morphologic assessment of tumoral and peritumoral regions using conventional MRI and diffusion-based techniques can also offer diagnostic information. when assessing peritumoral neoplastic cell infiltration in peritumoral non-enhancing lesions; lower imaging resolution by the relatively low signal-to-noise ratio of 1.5T MRI; the aforementioned T2-shine-through effect in DWI; reactive gliosis and infiltration into the surrounding tissue in the later-staged metastatic lesions.","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44263358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.13104/IMRI.2021.25.1.35
Cheong Hoon Hwang, Miribi Rho, Minah Lee, Ga Ram Kim, V. Y. Park, J. H. Yoon, Min Jung Kim
Breast cancer is the second most common cancer among Korean women, following thyroid cancer. Mammography is the only method proven to improve the survival rates of breast-cancer patients (1). However, mammography shows low sensitivity when This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: December 9, 2020 Revised: January 20, 2021 Accepted: January 21, 2021
{"title":"Prior to Breast MRI Guidelines in Korea, Where Were We?","authors":"Cheong Hoon Hwang, Miribi Rho, Minah Lee, Ga Ram Kim, V. Y. Park, J. H. Yoon, Min Jung Kim","doi":"10.13104/IMRI.2021.25.1.35","DOIUrl":"https://doi.org/10.13104/IMRI.2021.25.1.35","url":null,"abstract":"Breast cancer is the second most common cancer among Korean women, following thyroid cancer. Mammography is the only method proven to improve the survival rates of breast-cancer patients (1). However, mammography shows low sensitivity when This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: December 9, 2020 Revised: January 20, 2021 Accepted: January 21, 2021","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49098214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.13104/IMRI.2021.25.1.53
Sung Oh Song, R. Lee, M. Lim, S. Kwon, W. Park
Polyarteritis nodosa (PAN) is a systemic vasculitis that can affect multiple organs in its diffuse form and is associated with high rates of morbidity and mortality. From the standpoint of pathology, PAN is necrotizing arteritis predominantly involving medium and small muscular arteries, without glomerulonephritis or vasculitis in the arterioles, capillaries, or venules (1, 2). PAN has protean manifestations, and it may present as a systemic disease or in its limited form, be confined to a single organ (2). The limited form of PAN is rare and may pose a diagnostic challenge; it can mimic other common diseases, and its nonspecific presentation may lead to confusion or delays in diagnosis. Musculoskeletal system involvement in PAN is known to present as myalgia, arthralgia, polymyositis-like syndrome, asymmetric nondeforming polyarthritis, or rarely, as intermittent claudication, acute leg ischemia, or myopathy (2). Muscular involvement in PAN may occur as a component of systemic PAN or as a limited form. Patients with the limited form of PAN are known to present with pain, swelling, and tenderness of the lower leg (3). Magnetic resonance imaging (MRI) findings of muscular involvement in PAN have been reported in other studies, all in cases with the limited form of PAN (4). Most of the previous studies have reported nonspecific edematous signal changes in the affected muscles with hyper-signal intensities on T2-weighted or fat-saturated sequences (5), which may be found in all clinical mimics such as inflammatory or infectious myositis. Ultrasound is particularly useful in the diagnosis of largeand medium-sized vessel vasculitis, as the characteristic wall thickening of the affected arteries allows for the confirmation of a suspected diagnosis. However, only a few studies have reported ultrasonography findings for the limited form of PAN. Herein, we describe a rare case of PAN involving skeletal muscle as indicated on This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: January 16, 2021 Revised: February 22, 2021 Accepted: February 23, 2021
{"title":"A Rare Case of Limited Muscle Involvement in Polyarteritis Nodosa","authors":"Sung Oh Song, R. Lee, M. Lim, S. Kwon, W. Park","doi":"10.13104/IMRI.2021.25.1.53","DOIUrl":"https://doi.org/10.13104/IMRI.2021.25.1.53","url":null,"abstract":"Polyarteritis nodosa (PAN) is a systemic vasculitis that can affect multiple organs in its diffuse form and is associated with high rates of morbidity and mortality. From the standpoint of pathology, PAN is necrotizing arteritis predominantly involving medium and small muscular arteries, without glomerulonephritis or vasculitis in the arterioles, capillaries, or venules (1, 2). PAN has protean manifestations, and it may present as a systemic disease or in its limited form, be confined to a single organ (2). The limited form of PAN is rare and may pose a diagnostic challenge; it can mimic other common diseases, and its nonspecific presentation may lead to confusion or delays in diagnosis. Musculoskeletal system involvement in PAN is known to present as myalgia, arthralgia, polymyositis-like syndrome, asymmetric nondeforming polyarthritis, or rarely, as intermittent claudication, acute leg ischemia, or myopathy (2). Muscular involvement in PAN may occur as a component of systemic PAN or as a limited form. Patients with the limited form of PAN are known to present with pain, swelling, and tenderness of the lower leg (3). Magnetic resonance imaging (MRI) findings of muscular involvement in PAN have been reported in other studies, all in cases with the limited form of PAN (4). Most of the previous studies have reported nonspecific edematous signal changes in the affected muscles with hyper-signal intensities on T2-weighted or fat-saturated sequences (5), which may be found in all clinical mimics such as inflammatory or infectious myositis. Ultrasound is particularly useful in the diagnosis of largeand medium-sized vessel vasculitis, as the characteristic wall thickening of the affected arteries allows for the confirmation of a suspected diagnosis. However, only a few studies have reported ultrasonography findings for the limited form of PAN. Herein, we describe a rare case of PAN involving skeletal muscle as indicated on This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: January 16, 2021 Revised: February 22, 2021 Accepted: February 23, 2021","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44857451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.13104/IMRI.2021.25.1.1
N. Tawara, A. Nishiyama
N. Tawara, O. Nitta, H. Kuruma, M. Niitsu, N. Tamura, H. Takahashi, A. Hoshikawa, K. Nakamura, T. Okuwaki, and A. Itoh Department of Sports Medicine, Japan Institute of Sports Sciences, Tokyo, Japan, Department of Physical Therapy, Faculty of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, Department of Radiology, Saitama Medical University, Saitama, Japan, Department of Sports Sciences, Japan Institute of Sports Sciences, Tokyo, Japan, Graduate Course of Computer Sciences, College of Sciences and Technology, Nihon University, Chiba, Japan
N. Tawara, O. Nitta, H. Kuruma, M. Niitsu, N. Tamura, H.高桥，A. Hoshikawa, K. Nakamura, T. Okuwaki和A. Itoh日本东京日本体育科学研究所运动医学部，日本东京东京，东京都市大学健康科学学院物理治疗系，日本埼玉医科大学放射学系，日本埼玉，日本体育科学研究所，日本东京，计算机科学研究生课程，日本大学科学技术学院，日本千叶
{"title":"Muscle Functional MRI of Exercise-Induced Rotator Cuff Muscles","authors":"N. Tawara, A. Nishiyama","doi":"10.13104/IMRI.2021.25.1.1","DOIUrl":"https://doi.org/10.13104/IMRI.2021.25.1.1","url":null,"abstract":"N. Tawara, O. Nitta, H. Kuruma, M. Niitsu, N. Tamura, H. Takahashi, A. Hoshikawa, K. Nakamura, T. Okuwaki, and A. Itoh Department of Sports Medicine, Japan Institute of Sports Sciences, Tokyo, Japan, Department of Physical Therapy, Faculty of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, Department of Radiology, Saitama Medical University, Saitama, Japan, Department of Sports Sciences, Japan Institute of Sports Sciences, Tokyo, Japan, Graduate Course of Computer Sciences, College of Sciences and Technology, Nihon University, Chiba, Japan","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":"25 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44122520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.13104/IMRI.2021.25.1.10
S. Park, C. Ahn
conducting a source task using an open data set was adopted in the target network as the initial network to improve the learning speed and the performance of the target task. Using BTL, an NN effectively learned the target data while preserving knowledge from the source data to the maximum extent possible. The ratio of the source data to the target data was reduced stepwise from 1 in the initial stage to 0 in the final stage. Results: NN that performed BTL showed an improved performance compared to those that performed TL or standalone learning (SL). Generalization of NN was also better achieved. The learning curve was evaluated using normalized mean square error (NMSE) of reconstructed images for both target data and source data. BTL reduced the learning time by 1.25 to 100 times and provided better image quality. Its NMSE was 3% to 8% lower than with SL. Conclusion: The NN that performed the proposed BTL showed the best performance in terms of learning speed and learning curve. It also showed the highest reconstructed-image quality with the lowest NMSE for the test data set. Thus, BTL is an effective way of learning for NNs in the medical-imaging domain where both quality and quantity of data are always limited.
{"title":"Blended-Transfer Learning for Compressed-Sensing Cardiac CINE MRI","authors":"S. Park, C. Ahn","doi":"10.13104/IMRI.2021.25.1.10","DOIUrl":"https://doi.org/10.13104/IMRI.2021.25.1.10","url":null,"abstract":"conducting a source task using an open data set was adopted in the target network as the initial network to improve the learning speed and the performance of the target task. Using BTL, an NN effectively learned the target data while preserving knowledge from the source data to the maximum extent possible. The ratio of the source data to the target data was reduced stepwise from 1 in the initial stage to 0 in the final stage. Results: NN that performed BTL showed an improved performance compared to those that performed TL or standalone learning (SL). Generalization of NN was also better achieved. The learning curve was evaluated using normalized mean square error (NMSE) of reconstructed images for both target data and source data. BTL reduced the learning time by 1.25 to 100 times and provided better image quality. Its NMSE was 3% to 8% lower than with SL. Conclusion: The NN that performed the proposed BTL showed the best performance in terms of learning speed and learning curve. It also showed the highest reconstructed-image quality with the lowest NMSE for the test data set. Thus, BTL is an effective way of learning for NNs in the medical-imaging domain where both quality and quantity of data are always limited.","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48689523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.13104/imri.2021.25.4.252
Xiaoqing Wang, M. Uecker, Li Feng
long breathhold, and insufficient spatiotemporal resolution. Real-time cardiac cine MRI refers to high spatiotemporal cardiac imaging using data acquired continuously without synchronization or binning, and therefore of potential interest in overcoming the limitations of conventional cardiac MRI. Novel acquisition and reconstruction techniques must be employed to facilitate real-time cardiac MRI. The goal of this study is to discuss methods that have been developed for real-time cardiac MRI. In particular, we classified existing techniques into two categories based on the use of non-iterative and iterative reconstruction. In addition, we present several research trends in this direction, including deep learning-based image reconstruction and other advanced real-time cardiac MRI strategies that reconstruct images acquired from real-time free-breathing techniques.
{"title":"Fast Real-Time Cardiac MRI: a Review of Current Techniques and Future Directions","authors":"Xiaoqing Wang, M. Uecker, Li Feng","doi":"10.13104/imri.2021.25.4.252","DOIUrl":"https://doi.org/10.13104/imri.2021.25.4.252","url":null,"abstract":"long breathhold, and insufficient spatiotemporal resolution. Real-time cardiac cine MRI refers to high spatiotemporal cardiac imaging using data acquired continuously without synchronization or binning, and therefore of potential interest in overcoming the limitations of conventional cardiac MRI. Novel acquisition and reconstruction techniques must be employed to facilitate real-time cardiac MRI. The goal of this study is to discuss methods that have been developed for real-time cardiac MRI. In particular, we classified existing techniques into two categories based on the use of non-iterative and iterative reconstruction. In addition, we present several research trends in this direction, including deep learning-based image reconstruction and other advanced real-time cardiac MRI strategies that reconstruct images acquired from real-time free-breathing techniques.","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66633149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.13104/imri.2021.25.4.293
Peng Cao, D. Cui, Yanzhen Ming, V. Vardhanabhuti, Elaine Y P Lee, E. Hui
a deep learning model. The trained model was then applied to MRF for different organs and diseases. Iterative reconstruction was performed outside the deep learning model, allowing a changeable encoding matrix, i.e., with flexibility of choice for image resolution, radiofrequency coil, k-space trajectory, and undersampling mask. In vivo experiments were performed on normal brain and prostate cancer volunteers to demonstrate the model performance and generalizability. Results: In 400-dynamics brain MRF, direct nonuniform Fourier transform caused a slight increase of random fluctuations on the T2 map. These fluctuations were reduced with the proposed method. In prostate MRF, the proposed method suppressed fluctuations on both T1 and T2 maps. Conclusion: The deep learning and iterative MRF reconstruction method described in this study was flexible with different acquisition settings such as radiofrequency coils. It is generalizable for different in vivo applications.
{"title":"Accelerating Magnetic Resonance Fingerprinting Using Hybrid Deep Learning and Iterative Reconstruction","authors":"Peng Cao, D. Cui, Yanzhen Ming, V. Vardhanabhuti, Elaine Y P Lee, E. Hui","doi":"10.13104/imri.2021.25.4.293","DOIUrl":"https://doi.org/10.13104/imri.2021.25.4.293","url":null,"abstract":"a deep learning model. The trained model was then applied to MRF for different organs and diseases. Iterative reconstruction was performed outside the deep learning model, allowing a changeable encoding matrix, i.e., with flexibility of choice for image resolution, radiofrequency coil, k-space trajectory, and undersampling mask. In vivo experiments were performed on normal brain and prostate cancer volunteers to demonstrate the model performance and generalizability. Results: In 400-dynamics brain MRF, direct nonuniform Fourier transform caused a slight increase of random fluctuations on the T2 map. These fluctuations were reduced with the proposed method. In prostate MRF, the proposed method suppressed fluctuations on both T1 and T2 maps. Conclusion: The deep learning and iterative MRF reconstruction method described in this study was flexible with different acquisition settings such as radiofrequency coils. It is generalizable for different in vivo applications.","PeriodicalId":73505,"journal":{"name":"Investigative magnetic resonance imaging","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66633397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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