CloudBrain

CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis ( [English] )

闄堟檽铦�1,#, 鏉庡槈閽�1,#, 闄堟＃鎴�1, 鍛ㄦ瘏鑽�1, 娑傜珷浠�1, 鏋楃編閲�2, 搴锋嘲灞�3, 鏋楀缓蹇�3, 宸╂稕4, 鏈辨煶绾�5, 鍛ㄥ缓鍐�5, 娆ч槼鏋�6, 閮澃閿�7, 钁ｇ户鎵�1, 閮开 8, 灞堝皬娉�1*

1鍘﹂棬澶у锛岀數瀛愮瀛︾郴锛岀寤虹瓑绂诲瓙浣撲笌纾佸叡鎸噸鐐圭爺绌跺疄楠屽锛屼腑鍥斤紝鍘﹂棬;

2鍘﹂棬澶у搴旂敤娴锋磱鐗╃悊涓庡伐绋嬬郴锛屼腑鍥斤紝鍘﹂棬;

3鍘﹂棬澶у闄勫睘涓北鍖婚櫌纾佸叡鎸锛屼腑鍥斤紝鍘﹂棬;.

4灞变笢绗竴鍖荤澶у闄勫睘鐪佺珛鍖婚櫌鏀惧皠绉戯紝涓浗锛屽北涓滄祹鍗�;

5澶嶆棪澶у闄勫睘涓北鍖婚櫌鏀惧皠绉戯紝涓浗锛屽帵闂�;

6鍘﹂棬澶у鍖诲闄㈤檮灞炰笢鍗楀尰闄㈠尰瀛﹀奖鍍忕锛屼腑鍥斤紝鍘﹂棬;

7鍘﹂棬澶у寰數瀛愪笌闆嗘垚鐢佃矾绯伙紝涓浗锛屽帵闂�;

8鍘﹂棬鐞嗗伐瀛﹂櫌锛岃绠楁満涓庝俊鎭伐绋嬪闄紝涓浗锛屽帵闂�;

鑱旂郴浜�: quxiaoboxmu.edu.cn

寮曠敤:  Xiaodie Chen, Jiayu Li, Dicheng Chen, Yirong Zhou, Zhangren Tu, Meijin Lin, Taishan Kang, Jianzhong Lin, Tao Gong, Liuhong Zhu, Jianjun Zhou, Jiefeng Guo, Jiyang Dong, Di Guo, Xiaobo Qu鈭�, CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis,Journal of Magnetic Resonance, vol. 358, pp. 107601, 2023.

鍏ㄦ枃閾炬帴锛�https://www.sciencedirect.com/science/article/pii/S1090780723002367?via%3Dihub

鎽樿:

纾佸叡鎸尝璋憋紙Magnetic Resonance Spectroscopy, MRS锛夋槸涓�绉嶉噸瑕佺殑涓村簥鐤剧梾璇婃柇鏂规硶锛岄�氳繃MRS鍙互瑙傚療浠ｈ阿鐗╃殑淇″彿寮哄害锛岃繘涓�姝ユ帹鏂叾娴撳害銆傝櫧鐒剁鍏辨尟鍘傚晢鏅亶鎻愪緵璋卞浘鍙鍖栧拰浠ｈ阿鐗╁畾閲忕瓑鍩烘湰鍔熻兘锛屼絾鐢变簬缂轰箯鏄撶敤鐨勫鐞嗚蒋浠舵垨骞冲彴锛孧RS鐨勪复搴婄爺绌舵帹骞夸粛鍙楀埌闄愬埗銆備负浜嗚В鍐宠繖涓棶棰橈紝鎴戜滑寮�鍙戜簡纾佸叡鎸尝璋卞畾閲忓垎鏋愬钩鍙癈loudBrain-MRS銆傝繖鏄竴涓熀浜庝簯璁＄畻鐨勫湪绾垮钩鍙帮紝鎻愪緵寮哄ぇ鐨勭‖浠跺拰鍏堣繘鐨勭畻娉曘�傝骞冲彴鍙渶閫氳繃娴忚鍣ㄥ嵆鍙闂紝鐢ㄦ埛鏃犻渶瀹夎浠讳綍绋嬪簭銆侰loudBrain-MRS 杩橀泦鎴愪簡缁忓吀鐨� LCModel 妯″瀷鍜屽厛杩涚殑浜哄伐鏅鸿兘绠楁硶锛屽苟鏀寔瀵规潵鑷笉鍚屼緵搴斿晢鐨� MRS 鏁版嵁杩涜鎵归噺棰勫鐞嗐�侀噺鍖栧拰鍒嗘瀽銆傛澶栵紝璇ュ钩鍙拌繕鎻愪緵浠ヤ笅瀹炵敤鍔熻兘锛氾紙1锛夎嚜鍔ㄧ粺璁″垎鏋愶紝瀵绘壘鐤剧梾鐨勭敓鐗╂爣璁扮墿锛涳紙2锛夌粡鍏搁噺鍖栫畻娉曚笌浜哄伐鏅鸿兘閲忓寲绠楁硶涔嬮棿鐨勪竴鑷存�ч獙璇侊紱锛�3锛夊僵鑹蹭笁缁村彲瑙嗗寲锛屾柟渚胯瀵熷崟涓唬璋㈢墿璋便�傛渶鍚庯紝鍋ュ悍鍙楄瘯鑰呭拰杞诲害璁ょ煡闅滅鎮ｈ�呯殑鏁版嵁琚敤鏉ュ睍绀鸿骞冲彴鐨勫姛鑳姐�傝繖鏄涓敮鎸佷娇鐢ㄤ汉宸ユ櫤鑳界畻娉曞鐞嗘椿浣� MRS 鏁版嵁鐨勪簯璁＄畻骞冲彴锛屽凡鍏变韩鍦� MRSHub绀惧尯锛屾彁渚涜嚦灏戜袱骞寸殑鍏嶈垂璁块棶鍜屾湇鍔°�傚鏋滄偍鎰熷叴瓒ｏ紝璇疯闂�https://mrshub.org/software_all/#CloudBrain-MRS 鎴� https://csrc.xmu.edu.cn/CloudBrain.html銆�

鍏抽敭璇�: 纾佸叡鎸尝璋便�佷簯璁＄畻銆侀噺鍖栥�佹暟鎹垎鏋愩�侀澶勭悊

鏂规硶:

1.     鑳屾櫙

纾佸叡鎸尝璋憋紙MRS锛夋槸涓�绉嶉潪渚靛叆鎬ф妧鏈紝鐢ㄤ簬閲忓寲浜鸿剳涓殑浠ｈ阿鐗╋紝浠ヨ瘖鏂悇绉嶇柧鐥呫�傜劧鑰岋紝鑾峰彇鐨� MRS 淇″彿閫氬父闇�瑕佽繘琛屾暟鎹澶勭悊鍜屽畾閲忓垎鏋愶紝浠ヨ幏寰楀噯纭殑浠ｈ阿鐗╂祿搴︺�傜洰鍓嶏紝鏈夊绉嶅紑婧愬伐鍏峰彲鐢ㄤ簬 MRS 淇″彿鐨勯澶勭悊銆侀噺鍖栧拰鍒嗘瀽銆傝櫧鐒惰繖浜涘伐鍏锋彁渚涗簡鍙嬪ソ鐨勭敤鎴风晫闈紝浣嗕粛瑕佹眰鐢ㄦ埛缂栬瘧婧愪唬鐮併�佷笅杞戒緷璧栭」鎴栧畨瑁呰蒋浠躲�傛澶栵紝杩欎簺宸ュ叿閮戒笉鍖呮嫭娣卞害瀛︿範绠楁硶锛岃繖瀵瑰綋鍓嶄汉宸ユ櫤鑳芥椂浠ｇ殑鐮旂┒鏄竴涓噸澶ч檺鍒躲�傚湪杩囧幓鐨勫嚑鍗佸勾涓紝宸叉湁澶氫釜 MRS 浜戝钩鍙扮敤浜庢ā鎷熷熀闆嗐�佷粠鏍哥鍏辨尟鐨勯潪閲囨牱鏁版嵁涓噸寤洪璋便�備簯骞冲彴杩樿搴旂敤浜庣鍏辨尟鎴愬儚锛圡RI锛夈�備簯璁＄畻鎻愪緵浜嗕竴涓槗浜庤闂�佺伒娲讳笖鍙墿灞曠殑骞冲彴銆傜敤鎴锋棤闇�鎷呭績纭欢缁存姢鍜岀鐞嗭紝鍥犳鍙互涓撴敞浜庡悇鑷笓涓氶鍩熺殑鏍稿績浠诲姟銆�

2.     宸ヤ綔娴�

鐩墠锛岃骞冲彴涓昏鍖呮嫭涓や釜鍔熻兘妯″潡锛氭櫤鑳介噺鍖栧拰鑷姩鍒嗘瀽銆傜敤鎴峰彲浠ユ敞鍐岃处鎴锋垨浣跨敤鎴戜滑鐨勬祴璇曡处鎴凤紙鐢ㄦ埛鍚嶏細demo_csg锛屽瘑鐮侊細csg12345678锛侊級銆備富椤典笂鐨勪娇鐢ㄦ墜鍐屼篃鑳藉府鍔╃敤鎴峰揩閫熶笂鎵嬨�侰loudBrain-MRS 鐨勫伐浣滄祦绋嬪鍥� 2 鎵�绀猴紝璇︾粏鎻忚堪濡備笅锛� (1) 鍔犺浇鏁版嵁鍜岀浉搴斿弬鏁般�傝骞冲彴鐩墠鏀寔璇诲彇椋炲埄娴︺�佽タ闂ㄥ瓙鍜孏E鐨� RAW 绫诲瀷鐨勬暟鎹紝浠ュ強鑱斿奖鍜岃タ闂ㄥ瓙鐨� DICOM 绫诲瀷鐨勬暟鎹紝杩樻敮鎸� LCModel 鐨勬暟鎹牸寮忋�� (2)璋冪敤閲忓寲妯″瀷瀵规暟鎹繘琛屾壒閲忔垨闈炴壒閲忛噺鍖栵紝骞朵繚瀛橀噺鍖栫粨鏋溿�傚鏋滅敤鎴烽�夋嫨瀵规暟鎹繘琛屽啀澶勭悊锛屽垯浼氬湪閲忓寲鍓嶈繘琛屽幓鍣鐞嗐�� (3) 鏍规嵁閲忓寲缁撴灉鐢熸垚鍥涚鍙鍖栬氨鍥撅細 杈撳叆璋便�佹暣浣撳拰鍗曚釜浠ｈ阿鐗╃殑鎷熷悎璋变互鍙婁笁缁村彲瑙嗗寲璋便�傚鏋滃簲鐢ㄤ簡鍘诲櫔锛屽垯浼氭樉绀哄幓鍣墠鍜屽幓鍣悗鐨勮氨鍥俱�� (4) 鎻愬彇瀹氶噺鍒嗘瀽缁撴灉骞剁敓鎴愮浉搴旂殑鍒嗘瀽鍥捐〃銆傜粺璁″垎鏋愬皢鐢熸垚绠卞瀷鍥惧拰涓夌嚎琛ㄣ�備竴鑷存�у垎鏋愬姛鑳藉皢鐢熸垚Bland-Altman鍥惧拰绠卞舰鍥俱��

3.     绯荤粺鏋舵瀯

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4.     绯荤粺瀹夊叏鍜岄殣绉�

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5.     浜戝钩鍙板鐞嗙粨鏋�

鎴戜滑閫氳繃涓�浜涙椿浣撴暟鎹潵灞曠ず璇ュ钩鍙扮殑瀹炵敤鎬с��

鑷磋阿:

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鍙傝�冩枃鐚�:

[1]      G.S. Malhi, M. Valenzuela, W. Wen, P. Sachdev, Magnetic resonance spectroscopy and its applications in psychiatry, Aust. N. Z. J. Psychiatry (1) (2002) 31鈥�43.

[2]      S. Behrens, H. Laue, M. Althaus, T. Boehler, B. Kuemmerlen, H.K. Hahn, H.-O. Peitgen, Computer assistance for MR based diagnosis of breast cancer: Present and future challenges, Comput. Med. Imaging Graph. 31 (4鈥�5) (2007) 236鈥�247. 71-95, 2017.

[3]      A. G枚kcay, O. Kitis, O. Ekmekci, H. Karasoy, R. Sener, Proton MR spectroscopy in Rett syndrome, Med. Imaging Graph. 26 (4) (2002) 271鈥�275.

[4]      R. Sener, Proton MR spectroscopy of craniopharyngiomas, Comput. Med. Imaging Graph. 25 (5) (2001) 417鈥�422.

[5]      J. Near, A.D. Harris, C. Juchem, R. Kreis, M. Marja艅ska, G. 脰z, J. Slotboom, M. Wilson, C. Gasparovic, Preprocessing, analysis and quantification in singlevoxel magnetic resonance spectroscopy: Experts鈥� consensus recommendations, NMR Biomed. 34 (5) (2021) e4257.

[6]      D.J. Drost, W.R. Riddle, G.D. Clarke, Proton magnetic resonance spectroscopy in the brain: Report of AAPM MR Task Group# 9, Med. Phys. 29 (9) (2002) 2177鈥�2197.

[7]      J.-B. Poullet, D.M. Sima, S. Van Huffel, MRS signal quantitation: A review of time-and frequency-domain methods, J. Magn. Reson. 195 (2) (2008) 134鈥�144.

[8]      P.K. Mandal, In vivo proton magnetic resonance spectroscopic signal processing for the absolute quantitation of brain metabolites, Eur. J. Radiol. 81 (4) (2012) e653鈥揺664.

[9]      J. Near, R. Edden, C.J. Evans, R. Paquin, A. Harris, P. Jezzard, Frequency and phase drift correction of magnetic resonance spectroscopy data by spectral registration in the time domain, Magn. Reson. Med. 73 (1) (2015) 44鈥�50. 6, pp. 737-758, 2010.

[10]    L. Vanhamme, A. van den Boogaart, S. Van Huffel, Improved method for accurate and efficient quantification of MRS data with use of prior knowledge, J. Magn. Reson. 129 (1) (1997) 35鈥�43.

[11]    J.F. Jansen, W.H. Backes, K. Nicolay, M.E. Kooi, 1H MR spectroscopy of the brain: Absolute quantification of metabolites, Radiology 240 (2) (2006) 318鈥�332.

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