# MEDPHYS 777: Principles of X-ray Computed Tomography | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MEDPHYS_777) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 4be39b71e50e277a4889957f6ab3d0cfd37f35a6236c709e1706cd69feea866a ### course id MEDPHYS 777 ### course uid course\_1fe69fa4e6c0694c7b922f54 ### catalog version id 53ef2c224f9a5a25f81ce6b2923ba43c5108ebb276dfb1a7362e4d66c08af055 ### course number 777 ### subjects * MEDPHYS ### title PRINCIPLES OF X-RAY COMPUTED TOMOGRAPHY ### description Understand the basic principles of x-ray computed tomography (CT), and how to think when a technical problem arises in CT. Accomplished through a review of the history of CT developments and key components of CT systems, lectures on various CT reconstruction algorithms, image quality, and radiation dose, origin and correction methods of various CT artifacts. ### requirements text Consent of instructor ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 37de3e0e038c426552b4ed094b3172fe6d2fa32bce94200c0f20180ca2438007 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers basic principles of x-ray CT, reconstruction algorithms, image quality, and artifact correction. ### llm topics * History of CT developments * Key components of CT systems * CT reconstruction algorithms * Image quality and radiation dose * CT artifacts and correction methods ### llm skills * Problem-solving for technical issues in CT * Understanding CT reconstruction algorithms ### llm assumed background None recorded. ### llm search phrases * CT reconstruction algorithms * x-ray computed tomography principles * CT image quality radiation dose * CT artifacts correction methods ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 46a4b1e442d5a1b4ee99c8d7cb520749973c018930af17ac95e7416949b3aca2 #### course id MEDPHYS 777 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2019: 3.67 GPA, 66.7% A/AB (n=6 letter grades); Fall 2025: 3.58 GPA, 66.7% A/AB (n=6 letter grades). ```json { "citations": [ { "course_id": "MEDPHYS 777", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "89d34802-ea8e-3f03-acb8-25f43f7089de", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "MEDPHYS 777", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "89d34802-ea8e-3f03-acb8-25f43f7089de", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Consent of instructor", "course": null, "evidence": "Consent of instructor", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_64707e77a90ce1e8e2a5eba7", "source": "madgrades", "source_instructor_id": "4570893", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KE LI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.761, "graded": 44, "counts": [ 26, 15, 3, 0, 0, 0, 0 ], "sections": 20 }, "instructor_url": "/instructors/KE_LI--instructor_64707e77a90ce1e8e2a5eba7" }, { "instructor_uid": "instructor_907dcad6714cc73a1f0cab42", "source": "madgrades", "source_instructor_id": "6653103", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RAN ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.583, "graded": 6, "counts": [ 3, 1, 2, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/RAN_ZHANG--instructor_907dcad6714cc73a1f0cab42" }, { "instructor_uid": "instructor_c5a1956d4bbf5dfee1202710", "source": "madgrades", "source_instructor_id": "3802215", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GUANG-HONG CHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.522, "graded": 138, "counts": [ 51, 53, 23, 11, 0, 0, 0 ], "sections": 47 }, "instructor_url": "/instructors/GUANG-HONG_CHEN--instructor_c5a1956d4bbf5dfee1202710" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDPHYS 777", "course_uid": "course_1fe69fa4e6c0694c7b922f54", "term_id": "1194", "term_name": 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"term_id": "1212", "term_name": "Fall 2020", "instructors": [ "KE LI" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "MEDPHYS 777" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDPHYS 777", "course_uid": "course_1fe69fa4e6c0694c7b922f54", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "KE LI" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "MEDPHYS 777" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDPHYS 777", "course_uid": "course_1fe69fa4e6c0694c7b922f54", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "KE LI" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "MEDPHYS 777" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDPHYS 777", "course_uid": "course_1fe69fa4e6c0694c7b922f54", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "KE LI" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "MEDPHYS 777" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MEDPHYS 777", "course_uid": "course_1fe69fa4e6c0694c7b922f54", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Guang-Hong Chen", "Ran Zhang" ], "a": 3, "ab": 1, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 6, "source_aliases": [ "MEDPHYS 777" ] } ] ``` ### statistics #### gpa 3.625 #### graded 12 #### counts * 7 * 1 * 4 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_1fe69fa4e6c0694c7b922f54-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_1fe69fa4e6c0694c7b922f54-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_1fe69fa4e6c0694c7b922f54-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_1fe69fa4e6c0694c7b922f54-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_1fe69fa4e6c0694c7b922f54-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_1fe69fa4e6c0694c7b922f54-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.625 #### count 12 #### departments | subject | comparison | | ------- | ---------- | | MEDPHYS | | ### terms #### 1194 ##### term 1194 ##### gpa 3.6666666666666665 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MEDPHYS | | #### 1262 ##### term 1262 ##### gpa 3.5833333333333335 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | MEDPHYS | | ### benchmarks #### all ##### school ###### size 3594 ###### gpa 3.6835202767221285 ###### top Share 83.4064665738212 ###### count 108 ##### MEDPHYS ###### size 15 ###### gpa 3.801025446402148 ###### top Share 90.51529843143136 ###### count 97 #### terms ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ## instructor Trends ```json [ { "uid": "instructor_64707e77a90ce1e8e2a5eba7", "name": "KE LI", "count": 6, "terms": [ { "term": "1194", "count": 6, "sections": 1, "gpa": 3.6666666666666665 } ] }, { "uid": "instructor_907dcad6714cc73a1f0cab42", "name": "RAN ZHANG", "count": 6, "terms": [ { "term": "1262", "count": 6, "sections": 1, "gpa": 3.5833333333333335 } ] }, { "uid": "instructor_c5a1956d4bbf5dfee1202710", "name": "GUANG-HONG CHEN", "count": 6, "terms": [ { "term": "1262", "count": 6, "sections": 1, "gpa": 3.5833333333333335 } ] } ] ``` ## following None recorded.