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"This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic resonance image reconstruction algorithms. Compressed sensing magnetic resonance imaging (CS-MRI) is able to reduce the scan time of MRI considerably as it is possible to reconstruct MR images from only a few measurements in the k-space; far below the requirements of the Nyquist sampling rate. L1-norm-based regularization problems can be solved efficiently using the state-of-the-art convex optimization techniques, which in general outperform the greedy techniques in terms of quality of reconstructions. Recently, fast convex optimization based reconstruction algorithms have been developed which are also able to achieve the benchmarks for the use of CS-MRI in clinical practice. This book enables graduate students, researchers, and medical practitioners working in the field of medical image processing, particularly in MRI to understand the need for the CS in MRI, and thereby how it could revolutionize the soft tissue imaging to benefit healthcare technology without making major changes in the existing scanner hardware. It would be particularly useful for researchers who have just entered into the exciting field of CS-MRI and would like to quickly go through the developments to date without diving into the detailed mathematical analysis. Finally, it also discusses recent trends and future research directions for implementation of CS-MRI in clinical practice, particularly in Bio and Neuro-informatics applications."

"Magnetic Resonance Imaging (MRI) saat ini sedang banyak digunakan sebagai image guiding dalam perencanaan radiosurgery dan radioterapi. Modalitas pencitraan ini dapat menampilkan karakteristik fisis jaringan dengan detail luar biasa, terutama pada otak. Namun seperti yang telah diketahui, distorsi geometri terjadi pada citra MRI. Distorsi ini menimbulkan masalah di beberapa aplikasi MRI, salah satunya lokalisasi pada Gamma Knife Stereotactic Radiosurgery (GKSRS). Oleh karena itu, pengukuran serta koreksi distorsi geometri pada citra MRI perlu dilaksanakan. Dalam penelitian ini, sebuah fantom desain khusus dikembangkan untuk mengukur tidak hanya distorsi geometri citra MRI, namun juga uniformitas dan resolusi spasial kontras tinggi. Penelitian menggunakan tiga variasi, meliputi variasi protokol pemindaian, frame, dan larutan pengisi. Protokol pemindaian yang digunakan adalah T1-Bravo dan T2-Fiesta. Fantom dengan dan tanpa Leksell stereotactic frame dipindai menggunakan 1,5 T MRI GE Optima MR450w. Fantom diisi dengan tiga variasi larutan yaitu aquades (H2O) serta CuSO4.5H2O dengan konsentrasi 2 mM dan 5 mM. Dari hasil analisis data penelitian dapat ditarik beberapa kesimpulan bahwa fantom desain khusus yang dikembangkan dapat digunakan untuk mengukur distorsi geometri, uniformitas, serta resolusi spasial kontras tinggi citra MRI. Citra MRI yang dihasilkan oleh protokol pemindaian T1-Bravo memiliki distorsi geometri dan resolusi spasial lebih rendah namun uniformitas lebih tinggi dibandingkan citra yang dihasilkan oleh protokol T2-Fiesta. Keberadaan Leksell stereotactic frame ketika proses pemindaian meningkatkan distorsi geometri dan mengurangi uniformitas citra. Selain itu, larutan yang paling sesuai digunakan sebagai pengisi fantom desain khusus adalah larutan CuSO4.5H2O dengan konsentrasi 5 mM.

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Magnetic Resonance Imaging (MRI) is increasingly being used for purposes of radiosurgery and radiotherapy planning. This imaging modality can explore the physical properties of tissue with great details, especially for imaging of the brain. However, the geometric distortion is reasonably occurred and can make significant differences in certain MR application such as, for example, stereotactic localization in Gamma Knife. Therefore, the geometric distortion measurement and correction should be applied.

In this study, an MRI in-house phantom was developed to measure not only geometric distortion, but also uniformity and high contrast spatial resolution of MR image. This study used three variations, including scanning protocol, frame, and phantom filler. There were two scanning protocols applied in this study, they were T1-Bravo and T2-Fiesta. The phantom attached with Leksell stereotactic frame was scanned using 1.5 T MRI GE Healthcare. Phantom was filled with three kinds of solution, they were pure water (H2O), CuSO4.5H2O 2 mM and 5 mM solution.

The study results showed that the in-house or special design phantom can be used to measure geometric distortion, uniformity, and high contrast spatial resolution of MR image. T1-Bravo image had lower geometric distortion and spatial resolution but higher uniformity than T2-Fiesta. Leksell stereotactic frame can increase the magnitude of geometric distortion and decrease the uniformity of MR image. Moreover, the most suitable solution for phantom filler is CuSO4.5H2O 5 mM."

"ABSTRAKAkusisi sinyal adalah hal yang penting dalam teknologi modern. Compressive sensing dapat membuat proses akusisi sinyal atau data lebih cepat dan efektif. Compressive sensing memungkinkan jumlah pengukuran atau sampling yang jauh lebih sedikit dibandingkan sinyal asli. Compressive sensing digunakan secara luas pada berbagai bidang, seperti radar, kamera, pencitraan medis, seismic imaging, cognitive radio hingga wireless sensor network WSN . Hal penting dalam compressive sensing adalah memilih matriks proyeksi dan kamus basis sparse yang memenuhi Restricted Isometry Property RIP . Namun pengujian RIP sulit untuk dilakukan sehingga digunakan parameter lain yang lebih mudah untuk dihitung, yaitu mutual coherence. Berbeda dengan RIP, mutual coherence memerikan jaminan rekonstruksi yang lebih lemah. Sehingga dilakukan analisis hubungan antara mutual coherence terhadap hasil rekonstruksi citra. Didapatkan bahwa pada sistem kompresi, mutual coherence memiliki hubungan yang kuat terhadap citra hasil rekonstruksi. Sedangkan pada sistem pencitraan ECVT, mutual coherence hanya memiliki hubungan yang sangat lemah terhadap citra hasil ECVT.

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ABSTRAKIn modern technology, signal acquisition is important. Compressive sensing can make the process of acquiring signals or data to be more quickly and effectively. Compressive sensing allows a much smaller number of measurements or sampling than the original signal. Compressive sensing is widely used in various fields, such as radar, cameras, medical imaging, seismic imaging, cognitive radio to wireless sensor networks WSN . An important point in compressive sensing is to choose a projection matrix and a dictionary that meets Restricted Isometry Property RIP . But RIP testing is difficult to do, so that other parameter is used because it is easier to calculate, namely mutual coherence. Unlike RIP, mutual coherence only provides a weaker reconstruction guarantee. So that this research do analysis of relation between mutual coherence and reconstructed image. It was found that in the compression system, mutual coherence has a strong relationship to the reconstructed image. While in ECVT imaging systems, mutual coherence has only a very weak relationship to the ECVT image results."

"The idea of using the enormous potential of magnetic resonance imaging (MRI) not only for diagnostic but also for interventional purposes may seem obvious, but it took major efforts by engineers, physicists, and clinicians to come up with dedicated interventional techniques and scanners, and improvements are still ongoing. Since the inception of interventional MRI in the mid-1990s, the numbers of settings, techniques, and clinical applications have increased dramatically. This state of the art book covers all aspects of interventional MRI. The more technical contributions offer an overview of the fundamental ideas and concepts and present the available instrumentation. The richly illustrated clinical contributions, ranging from MRI-guided biopsies to completely MRI-controlled therapies in various body regions, provide detailed information on established and emerging applications and identify future trends and challenges."

""The text is organized into concise chapters, each discussing an important point relevant to clinical MR and illustrated with images from routine patient exams. The topics covered encompass the breadth of the field, from imaging basics and pulse sequences to advanced topics including contrast-enhanced MR angiography, spectroscopy, perfusion, and advanced parallel imaging techniques. Discussion of the latest hardware and software innovations--for example, MR-PET, interventional MR, compressed sensing, and multishot EPI--is included because these topics are critical to current and future advances. Included in the third edition are a large number of new topics, keeping the text up-to-date in this increasingly complex field. The text has also been revised to include additional relevant clinical images, to improve the clarity of descriptions, and to increase the depth of content"--Provided by publisher."

"Compressive sensing (CS) adalah teknik yang menghasilkan pengurangan dimensi pada akuisisi sinyal dengan cara mengalikan suatu matriks proyeksi dengan sinyal. Sparse Synthesis Model Based (SSMB) memodelkan sebuah sinyal sebagai kombinasi linier kolom-kolom pada matriks synthesis dictionary menggunakan sedikit koefisien. Cosparse Analysis Model Based (CAMB) memberikan model alternatif di mana koefisien cosparse didapatkan dengan mengalikan analysis dictionary (operator) dengan sinyal. Matriks proyeksi yang digunakan pada CS dapat dioptimasi untuk meningkatkan kualitas sinyal rekonstruksi. Optimasi matriks proyeksi banyak dilakukan pada SSMB-CS sedangkan optimasi matriks proyeksi pada CAMB-CS sejauh yang diketahui sampai saat ini belum ada yang mengusulkan.Di dalam penelitian ini diusulkan metode optimasi matriks proyeksi pada CAMB- CS dengan memperhitungkan parameter amplified Cosparse Representation Error (CSRE) dan relative amplified CSRE, di samping parameter mutual coherence. Matriks proyeksi teroptimasi pada CAMB-CS diperoleh menggunakan algoritma alternating minimization dan metode nonlinear conjugate gradient. Matriks acak Gaussian digunakan sebagai matriks proyeksi mula-mula dalam algoritma optimasi tersebut.Matriks proyeksi teroptimasi yang dihasilkan menurunkan average mutual coherence rata-rata sebesar 35,62% dari matriks acak Gaussian. Matriks proyeksi teroptimasi pada CAMB-CS memiliki average mutual coherence rata-rata sebesar 12,47% lebih kecil dari matriks proyeksi teroptimasi pada SSMB-CS. Matriks proyeksi teroptimasi pada CAMB-CS juga memberikan relative amplified CSRE berorde 10-6 – 10-5, lebih kecil dibandingkan dengan matriks acak Gaussian CAMB-CS (10-4 – 10-2) dan relative amplified Sparse Representation Error (SRE) matriks proyeksi teroptimasi SSMB-CS (10-3 – 10-1).Penurunan average mutual coherence dibarengi dengan relative amplified CSRE yang kecil akan meningkatkan kualitas citra rekonstruksi yang diukur menggunakan Peak Signal to Noise Ratio (PSNR) dan Structural Similarity Index Measure (SSIM). Hasil-hasil simulasi menunjukkan peningkatan PSNR dan SSIM citra rekonstruksi masing-masing sampai dengan 15,22% dan 9,24%, dibandingkan matriks acak Gaussian. Dibandingkan matriks proyeksi teroptimasi SSMB-CS, metode yang dikembangkan meningkatkan PSNR dan SSIM citra rekonstruksi masing-masing sampai dengan 23,66% dan 17,11%.

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The Compressive Sensing (CS) technique provides a signal acquisition dimensional reduction by multiplying a projection matrix with the signal. Sparse Synthesis Model Based (SSMB) models a signal as a linear combination of columns on the synthesis dictionary matrix using a few coefficients. The projection matrix used in CS can be optimized to improve the quality reconstructed signal. The projection matrix optimization is mostly done in SSMB-CS, while the optimization of the projection matrix in CAMB-CS as far as is known has not yet been proposed.

In this research, the projection matrix optimization method in CAMB-CS is proposed by taking into account the amplified Cosparse Representation Error (CSRE) parameter and the relative amplified CSRE to optimize the projection matrix, in addition to the mutual coherence parameter. The optimized projection matrix in CAMB-CS is obtained using an alternating minimization algorithm and nonlinear conjugation gradient method. In the optimization algorithm, the Gaussian random matrix is used as the initial projection matrix.

The resulting optimized projection matrix reduces average mutual coherence by 35.62% from the Gaussian random matrix. The optimized projection matrix in CAMB-CS has average mutual coherence, 12.47% less than the optimized projection matrix in SSMB- CS. The optimized projection matrix in CAMB-CS also provides a relative amplified CSRE of order 10-6 – 10-5, which is smaller than the Gaussian random matrix in CAMB-CS (10-4 – 10-2) and relative amplified Sparse Representation Error (SRE) of the optimized projection matrix in SSMB-CS (10-3 – 10-1).

The decrease in average mutual coherence and a small relative amplified CSRE will improve the reconstructed image quality as measured using the Peak Signal to Noise Ratio (PSNR) and the Structural Similarity Index Measure (SSIM). The simulation results showed an increase in the PSNR and SSIM of the reconstructed image up to 15.22% and 9.24%, respectively, compared to the Gaussian random matrix. Compared to the SSMB-CS optimized projection matrix, the developed method increases the PSNR and SSIM of the reconstructed image up to 23.66% and 17.11%, respectively."

"Pada skripsi ini dirancang sebuah resonator RF Birdcage Coil tanpa lumped circuit untuk aplikasi sistem Magnetic Resonance Imaging (MRI). MRI merupakan teknologi pencitraan tubuh manusia untuk aplikasi diagnosis medis yang bersifat non-invasive dan tidak memiliki pengaruh radiasi foton seperti halnya yang terdapat pada sistem Computed Tomography (CT). MRI memanfaatkan efek kuat medan magnet untuk mensejajarkan susunan inti atom hidrogen (proton) dengan arah medan magnet eksternal. Pada saat yang bersamaan sistem memancarkan RF Pulse ke tubuh pasien kemudian menerima sinyal Magnetic Resonance (MR) untuk rekonstruksi citra penampang tubuh. Pada penilitian ini dirancang suatu resonator RF Birdcage Coil tanpa lumped circuit yang beresonansi di spektrum frekuensi 128 MHz. Secara desain, resonator ini dirancang terdiri atas Leg dan End Rings (ERs) terbuat dari selembar konduktor tembaga tipis yang ditempelkan di kedua sisi akrilik sebagai material substrat untuk memberikan nilai kapasitansi resonator dan sekaligus sebagai pembentuk konfigurasi resonator RF Birdcage Coil. End Rings disusun superposisi untuk membentuk kapasitor secara bergantian. Untuk mendapatkan frekuensi resonansi yang diinginkan, dilakukan tuning dengan cara memperbesar atau memperkecil dimensi plat tembaga End Rings untuk mengubah nilai kapasitansi resonator. Desain resonator dirancang dengan menggunakan perangkat lunak Birdcage Builder untuk menghitung nilai kapasitansi awal dan disimulasikan dengan perangkat lunak berbasis Finite Integration Technique (FIT). Setelah dilakukan validasi dengan cara pengukuran tanpa ada tubuh manusia, resonator dapat beresonansi di frekuensi 128,5 MHz. Pengujian resonator dengan memasukkan bagian tubuh manusia seperti kepala dan tangan, resonator memberikan response perubahan yang sangat kecil pada pergeseran frekuensi berturut-turut 128,8 MHz dan 127,7 MHz untuk kepala dan tangan manusia.

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In this final project the RF Birdcage Coil resonator is designed without using lumped circuit for application of Magnetic Resonance Imaging (MRI) system. MRI is a scanning technology of human body tissues to medical diagnosis application which generally is non-invasive and doesn’t has the impact of photon like another system such as Computed Tomography (CT). It utilizes the effect of magnetic field strength to aligns proton with external magnetic field and transmits the RF Pulse to the human body then recieves the Magnetic Resonance (MR) signal for image reconstruction simultaneously.

In this research the RF Birdcage Coil resonator is designed without using lumped circuit and it can resonance in 128 MHz. This resonator has the Leg and End Rings which is made from copper foil and attached to the inner and outer of acrylic as a substrat material to produce the capacitance of the resonator and also as a shaper of the RF Birdcage Coil’s configuration. The End Rings arrange superposition to create the capacitance respectively. To get desired resonance frequency it should be tuned by make dimension foil of End Rings bigger or smaller to change the capacitance.

Birdcage Builder as a software which used to design the beginning form of the resonator and count the first value of capacitance then simulated in software based on Finite Integration Technique. After validation with measurement without human body the resonator can resonance in 128,5 MHz. Measurement with import body parts such as head and hand into resonator give the smallest change in 128,8 MHz and 127,7 MHz for human head and hand respectively."

"Pada saat ini, teknologi elektromagnetik terapan telah digunakan di berbagai bidang, termasuk di bidang kesehatan. Teknologi ini banyak diaplikasikan untuk melakukan proses analisa suatu penyakit atau bahkan melakukan penyembuhan. Dari banyak kegunaan itu, salah satu aplikasi teknologi elektromagnetik terapan di bidang medis adalah sistem pencitraan penampang tubuh. Dari beberapa instrumen kesehatan yang berfungsi untuk menampilkan pencitraan penampang tubuh, Magnetic Resonance Imaging (MRI) memiliki keunggulan untuk melakukan pencitraan organ-organ lunak. Pengaplikasian teknologi MRI terus berkembang hingga sekarang termasuk teknik penggunaan RF Coil Resonator yang terdapat di sistem MRI.Pada skripsi ini akan dirancang bangun sebuah RF Coil Resonator untuk sistem MRI 3 Tesla agar dapat menghasilkan citra atau penggambaran dari objek yang lebih jelas dan dapat digunakan oleh tenaga medis seperti dokter sebagai acuan untuk menganalisa suatu jaringan lunak yang bermasalah. Penelitian ini merancang sebuah resonator phased array yang terdiri dari 8 elemen yang bekerja pada frekuensi 127,7 MHz. Berdasarkan hasil simulasi, resonator tersebut memiliki keseragaman medan magnet dan nilai Specific Absorption Rate (SAR) dibawah ambang batas aman yaitu 0,195 W/kg. Diharapkan hasil rancangan ini dapat bekerja secara paralel untuk meningkatkan fungsionalitas dan kemampuan sistem MRI yang menghasilkan suatu citra yang lebih baik dan waktu scanning yang lebih cepat dibandingkan dengan resonator konvensional. Resonator phased array coil ini telah difabrikasi dan diukur parameter S-parameter dengan hasil yang sesuai dengan hasil simulasi pada frekuensi kerja 127,67 MHz.

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Currently, applied electromagnetic technology has been used in various fields, including for health sector. This technology is widely adopted for disease diagnosis as well as for treatment. One of several applications in applied electromagnetic technology is imaging system for medical field application. One of medical instruments which are used for body imaging system, that is Magnetic Resonance Imaging (MRI), has the advantage to create an image of soft organ. Application of MRI technology continues to evolve up until now, including the development of RF Coil Resonator techniques for MRI systems.

In this thesis, a RF Resonator Coil for 3 MRI 3 Tesla system is designed in order to produce high-resolution images, so it can be used by medical personnel such as doctors to analyze the soft tissue problems.

In this study, a RF phased array resonator that consists of 8 elements is designed for working at the frequency of 127.7 MHz. According to the simulation results, the resonator has uniform magnetic field and low value of Specific Absorption Rate (SAR) below the safety threshold by 0.195 W / kg.

It is expected that this design is able to operate for parallel operation in order to increase the functionality and capability of the MRI system can produces a better image and a faster scanning time in comparison with the conventional resonator one. The phased array coil resonator has been fabricated and measured, where the Sparameter results agree with the simulation results at the operation frequency 127.67 MHz."

"Magnetic resonance imaging selanjutnya disebut MRI merupakan peralatan radiologi diagnostik yang tidak mengandung radiasi pengion. Hal tersebut tidak berarti menjadikan alat ini bebas dari potensi bahaya. Penelitian ini ditujukan untuk mendapatkan deskripsi, menganalisa dan menilai penerapan keselamatan lingkungan pada fasilitas MRI 1.5T di wilayah DKI Jakarta. Penelitian didesain dengan metode campuran dengan tehnik purposive sampling. Dilaksanakan pada 4 fasilitas MRI 1.5T di wilayah DKI Jakarta dengan jumlah responden sebanyak 25 (dua puluh lima) orang radiografer yang bertugas di pelayanan MRI. Data kuantitatif diuji dengan menggunakan uji statistik nonparametrik yaitu Cochran’s Q dan Kruskalwalis. Nilai Cochran’s Q hitung>Chi square tabel (66.495>36.415) sehingga H0 ditolak atau terdapat perbedaan pemahaman radiografer. Uji statistik kruskalwalis menunjukkan nilai mean rank antar rumah sakit sumber data bervariasi. Data kualitatif terkait ketersediaan perangkat keselamatan menunjukkan standar American Collage of Radiology (ACR) lebih aplikatif dibandingkan standar Keputusan Menteri Kesehatan (KMK) RI No. 410/MENKES/SK/III/2010 tentang standar pelayanan radiologi diagnostik di sarana pelayanan kesehatan. Keempat rumah sakit sumber data telah memenuhi standar ACR sedangkan standar KMK 410/2010 hanya dapat dipenuhi oleh sebagian. Kepatuhan petugas dalam praktek aman penanganan pasien mandiri di empat rumah sakit sumber data telah memenuhi standar ACR dengan nilai bervariasi.

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Magnetic resonance imaging is hereinafter referred to MRI as diagnostic radiology equipment that contains no ionizing radiation. That does not mean to make this tool is free of potential hazards. This study aimed to get a description, analyze and assess the implementation of environmental safety at 1.5T MRI facility in Jakarta. The research is designed with a mix method with purposive sampling technique. Held on 4 (four) 1.5T MRI facilities in Jakarta. The number of respondents as many as 25 (twenty five) radiographers who served in MRI services. The quantitative data were tested using nonparametric statistical test that Cochran's Q and Kruskalwalis . Cochran's Q value count > Chi square table (66 495> 36 415) so that H0 is rejected or there is a difference of understanding radiographer. Kruskalwalis statistical test shows the mean rank among hospitals varied data sources. The qualitative data related to the availability of safety devices demonstrate the American Collage Of Radiology (ACR) standards more applicable than Keputusan Menteri Kesehatan (KMK) RI No. 410/MENKES/SK/III/2010 standard. The fourth hospital data sources meet the standard ACR while KMK 410/2010 standard can only be met by the majority. Compliance officers in the safe practice of self-management of patients in four hospitals have a data source meets ACR standards with varying grades."

"Tujuan: Penelitian ini dilakukan untuk mengetahui korelasi perubahan nilai ADC pada DWMRI dengan perubahan ukuran tumor pasca kemoterapi neoajuvan kanker payudara dalam menilai respons kemoterapi neoajuvan. Metode: Penelitian studi deskriptif analitik dari data sekunder MRI pasien kanker payudara yang mendapat kemoterapi neoajuvan serta menjalankan pemeriksaan MRI. Pemeriksaan MRI dilakukan sebelum pasien mendapat kemoterapi neoajuvan, setelah pasien mendapat kemoterapi neoajuvan siklus pertama dan siklus ketiga. Pengukuran ukuran tumor dilakukan sesuai standar RECIST, sedangkan nilai ADC diperoleh pada nilai b800s/mm2. Hasil dan diskusi: Dilakukan analisis bivariat dengan menggunakan korelasi Pearson untuk melihat korelasi perubahan nilai ADC kedua terhadap nilai ADC pertama dengan perubahan ukuran tumor pada pemeriksaan MRI ketiga terhadap pemeriksaan MRI pertama. Sebanyak 17 pasien penelitian dengan usia antara 40 tahun sampai 65 tahun dan ukuran tumor antara 5,41 cm sampai 13,41 cm. Terdapat 16 pasien yang mengalami peningkatan nilai ADC dan 1 pasien yang mengalami penurunan nilai ADC setelah pemberian kemoterapi neoajuvan siklus pertama. Sebanyak 17 pasien mengalami pengurangan ukuran tumor setelah kemoterapi neoajuvan siklus ketiga. Berdasarkan standar RECIST diperoleh sebanyak 7 pasien dengan pengurangan ukuran tumor lebih dari 30% (antara 31,55% sampai 56,25%) dan sebanyak 10 pasien dengan pengurangan ukuran tumor kurang dari 30% (antara 7,47% sampai 29,22%). Nilai korelasi yang diperoleh sebesar -0,499. Kesimpulan: Terdapat korelasi yang bermakna antara perubahan nilai ADC pada DWMRI dengan perubahan ukuran tumor sebagai respons kemoterapi neoajuvan kanker payudara dengan kekuatan korelasi yang sedang dan arah negatif.

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Objectives: To determine the correlation of changes in ADC values in DWMRI with changes in tumor size after neoadjuvant chemotherapy in breast cancer to assess neoadjuvant chemotherapy response.

Methods: Analytical descriptive study using secondary data from MRI of breast cancer patients receiving neoadjuvant chemotherapy as well as running an MRI. MRI examination performed before neoadjuvant chemotherapy, after received first cycle neoadjuvant chemotherapy and third cycle. Tumor size measurements carried out according to standard RECIST, whereas the ADC values obtained in the b800s/mm2. Bivariate analysis using Pearson correlation was conducted to determine the correlation of changes in the value of the second ADC to first ADC and changes of the tumor size on the third MRI to the first MRI examination.

Result and discussion: A total of 17 study patients, 40 years to 65 years old, tumor size between 5.41 cm to 13.41 cm. 16 patients experienced an increase in ADC values while 1 patient had decreased ADC values after the first cycle of neoadjuvant chemotherapy. Tumor size in all patients decreased after three cycles of neoadjuvant chemotherapy. Based on RECIST standards, 7 patients showed tumor size reduction of more than 30% (between 31.55% to 56.25%) and tumor size in 10 patients was reduced less than 30% (between 7.47% to 29.22% ). Correlation value of -0.499 obtained.

Conclusions: There is a significant moderate and negative correlation between in ADC value changes in DWMRI with tumor size changes in response to neoadjuvant chemotherapy."