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۔غزل

غزل۔۔۔محمد ایوب صابر

بجھ گیا ہے دل سے شعلہ عظمتِ پرواز کا
بے پروں کے جھنڈ دیکھے  ہیں زمیں پر رینگتے
صورتِ شاہیں کرے تسخیر جو دلکش فضا
وہ پرندہ شوق سے اڑتا پھرے شام و سحر
عمر بھر اس نے تھکن سے واسطہ رکھا نہیں
آسماں کی سمت اڑنے میں مری توقیر ہے
جو قفس میں زندہ رہنے  کے لئے تیار  ہیں
ہمتِ پرواز میرے خوں میں ہے محوِ سفر
سربلندی کی طرف صابر اسے مائل کرو

 

پڑ گیا ہے ماند  جذبہ عظمتِ پرواز کا
سن رہے ہیں صرف قصہ عظمتِ پرواز کا
اس کے سر پر باندھ سہرا عظمتِ پرواز کا
پی لیا ہے جس نے دریا عظمتِ پرواز کا
چکھ لیا تھا جس نے خوشہ عظمتِ پرواز کا
مل گیا ہے مجھ کو زینہ  عظمتِ پرواز کا
پڑھ رہے ہیں مل کے نوحہ عظمتِ پرواز کا
سوچ میں باقی ہے نقشہ عظمتِ پرواز کا
پوچھتا ہے جو بھی  رتبہ عظمتِ پرواز کا

Completeness Analysis of Completeness Filling and Time of Returning The Medical Record for Inpatient Patients at Regional General Hospital of Makassar City

At Makassar City Hospital, one of the service indicators that has not been achieved is in incomplete medical record files and medical record files that are returned more than 2x24 hours after service. This study aims to analyze the implementation of the completeness of filling in and the timeliness of returning inpatient medical record files at the Makassar City Hospital. This type of research is mixed methods research. The study design used a cross-sectional approach. The study was conducted in September - October 2020. The results showed that the implementation of completeness of filling in and the timeliness of returning medical record files was still low, this has led to the accumulation of medical record files in the treatment room and delays in returning the files of inpatients to the medical record installation of the City Hospital Makassar. Training on the implementation of medical records has not been comprehensive for all officers at the Makassar City Hospital. The result of the delay in returning the documents is the delay in payment of insurance claims to the hospital. Accumulation of medical records in the treatment room from incomplete medical records and returned to the treatment room. Health workers who forget to fill in complete medical records are only given a sanction in the form of a warning during a meeting with the medical committee. Availability of SOP on filling and returning medical record files at the hospital. The facilities and infrastructure in the implementation of medical records are still insufficient for medical record employees at Makassar City Hospital. It is recommended that the hospital improve the implementation of the completeness and timeliness of returning medical record files, provide incentives or rewards for completing filling in, increase the number of computers and expand the room in the medical record installation, and review the medical record format at Makassar City Hospital

Advanced Image Reconstruction Algorithms in Mri

Magnetic Resonance Imaging (MRI) is a non-invasive and non-ionizing medical imaging technique that provides essential clinical information about both the anatomy and physiology of the human body. One of the major limitations of MRI is long scan time. The reduction in scan time is vital for many MRI applications. There are two different stages in MRI scanning process and multiple strategies can be applied to reduce the overall scan time: (i) MRI data acquisition time and (ii) processing the acquired data to reconstruct artifact free high-resolution image (reconstruction time). This thesis mainly focusesonthesecondparti.e. toreducethescantimeofMRI.ThefirstphaseofthisthesispresentsanovelimplementationofGPUbasedSENSEalgorithm(apMRImethod), that employs QR decomposition for the inversion of the rectangular encoding matrix. For a fair comparison, the performance of the proposed GPU based SENSE reconstructionisevaluatedagainstsingleandmulti-coreCPUusingOpenMP.Severalexperiments against various Acceleration Factors (AFs) are performed using multichannel phantom, in-vivo human head and cardiac datasets. Experimental results show that the proposed GPU implementation significantly reduces the computation time of SENSE reconstructionascomparedtomulti-coreCPUwithoutanydegradationinthequalityofthereconstructed images. In the second phase, an iterative sequential combination of Linear Conjugate Gradient (LCG) based pMRI algorithm with p-thresholding based CS algorithm for MR image reconstruction is proposed to reconstruct images from a highly under-sampled data. Theproposedmethod(CGSENSE-CS)exploitsthecomplementarycharacteristics of CGSENSE (making reconstruction algorithm faster and accurate) and CS (efficient method in removing noise) to improve the reconstruction results. The proposed method is compared with contemporary methods CG-SENSE and `1-SPIR-iT, using Phantom and in-vivo human head datasets. Experimental results show that CGSENSE-CS (proposed method) achieves better Artifact Power (AP), Root Mean Square Error (RMSE) and high Peak Signal-to-Noise Ratio (PSNR). Second major limitation of the current MRI technology is that it detects and diagnoses abnormalities in the patient’s body based on the contrast between different tissues. Absolute measurements from a single tissue have proven extremely valuable for the diagnosis, prognosis, and therapeutic assessment. The lack of quantification in current MRI limits an objective evaluation, leads to a variability in interpretation, and potentially limits the utility of the technology in some clinical scenarios. However, Magnetic Resonance Fingerprinting (MRF), a latest innovation in MRI, can quantitatively examine many magnetic resonance tissue parameters, simultaneously. MRF algorithm in current form is highly computation and memory intensive because it inherently requires all the possible combinations of tissue parameters and inner product is computed between the observedsignalandeverysinglecombinationofthetissueparameters. Inthethirdphase ofthisPhDthesis,MRFalgorithmisacceleratedbyproposingaparallelframeworkand implementing it on a parallel architecture.
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